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E20-526 exam Dumps Source : XtremIO Solutions and Design Specialist Exam for Technology Architects
Test Code : E20-526
Test Name : XtremIO Solutions and Design Specialist Exam for Technology Architects
Vendor Name : EMC
Q&A : 67 Real Questions
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EMC XtremIO Solutions and Design
MALVERN, Pa. (PRWEB) April 02, 2018
Galileo performance Explorer, an trade-leading comprehensive efficiency monitoring suite created by The ATS community, these days released their 4th Dell EMC agent to help critical efficiency metrics and predictive analytics for his or her shoppers’ Dell EMC infrastructures. Now, environments with Dell EMC XtremIO all-flash commercial enterprise storage arrays can improvement from insights regarding ability and performance, enabling them to proactive keep away from disruptions and permit strategic planning initiatives.
XtremIO’s all-flash storage array turned into designed from the floor-up to unencumber flash's full performance knowledge by way of uniquely leveraging characteristics of SSDs, in keeping with flash media. XtremIO uses business-regular accessories and proprietary clever utility to convey unparalleled degrees of performance. As any person comprehend, what makes XtremIO special is its simplicity. XtremIO gives a consumer-pleasant interface that makes managing the array very handy and provisioning is feasible with little to no planning. XtremIO brings new tiers of ease-of-use to SAN storage, whereas offering superior points that have under no circumstances been feasible earlier than.
applying a complete efficiency monitoring solution in your atmosphere make all the difference. considerations or bottlenecks with your storage can drain elements and cause latency concerns or worse. With the liberate of this new agent for XtremIO, Galileo users can take a deep dive into analytics relating the efficiency, capacity and general state of their Dell EMC infrastructure. Galileo comprehensively screens each element of Dell EMC XtremIO, providing metrics round bandwidth, IOPs, latency, and means.
With Galileo performance Explorer’s XtremIO agent, clients may have huge configuration suggestions for right here XtremIO components:
1. Cluster2. Xenvs3. X-Bricks4. DAE Controllers5. DAEs6. Infiniband Switches7. Storage Controllers8. SSDs9. records coverage Groups10. Consistency Groups11. Initiator Groups12. Initiators13. goal Groups14. Targets15. LUN Maps16. Volumes17. Schedulers18. Snapshots
Our XtremIO efficiency administration agent also comprises facts concerning space-mark downs and capability reminiscent of:
1. Compression Factor2. facts discount Ratio3. Dedup Ratio4. Dedup house in Use5. skinny Ratio6. thin rate reductions
With the free up of the XtremIO agent, Galileo helps the total suite of Dell EMC storage options including team spirit, VMAX and VNX with Isilon scheduled to unlock later in 2018. get rid of the want for dissimilar point products and prolong Galileo's potential for a quicker and smarter efficiency administration gadget. With Galileo, users can cut back universal IT time spend, increase troubleshooting and pressure stronger performance via storage workloads and across the complete IT stack. Galileo’s uniquely resourceful dashboards can even be customized in line with the specific atmosphere details clients need. besides the Dell EMC storage environments, Galileo performance Explorer offers deep analytics for servers, storage, database, SAN and cloud structures for all of the essential business vendors comparable to IBM, VMware, Infinidat, NetApp, Pure Storage, Oracle and greater.
To find out extra about Galileo performance Explorer and how to which you could benefit from operational intelligence into your Dell EMC atmosphere, contact us for a free 30-day trial today.
SEE YOU AT DELL technologies WORLD!
Headed to Dell applied sciences World 2018 in Las Vegas? The group from Galileo might be there too! driven by way of customer demand and their pressing should digitally seriously change, Dell applied sciences is elevating the experience formerly called Dell EMC World to now turn into Dell applied sciences World. The annual customer and partner adventure encompasses the full array of Dell applied sciences’ enjoyable family of companies and portfolio of offerings. Dell applied sciences World could be held April thirtieth to may additionally third on the Venetian.
We seem to be ahead to seeing you in Las Vegas!
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LAS VEGAS -- Dell EMC all-flash storage upgrades highlighted the product rollouts at Dell technologies World nowadays, with the seller making its first huge inroads toward supporting nonvolatile flash memory specific in arrays.
Dell EMC rechristened its excessive-end VMAX commercial enterprise arrays as PowerMax, which aspects an end-to-end nonvolatile memory specific (NVMe) design and an AI engine. The supplier additionally introduced synchronous replication to its XtremIO X2 all-flash platform, plus a brand new model with entry-degree pricing for the small and midrange market.
The 14th technology of Dell EMC PowerEdge servers was launched at the conference, built with NVMe drives. the new PowerEdge hardware offers the compute substances within the newest Dell EMC VxRail and VxRack SDDC hyper-converged home equipment.
PowerMax refresh consolidates analytics and commercial enterprise workloads
PowerMax is the Dell EMC all-flash flagship for SAN environments to consolidate block, file, open and mainframe storage. PowerMax continues VMAX's multicontroller lively-active architecture, however it's designed with dual-ported NVMe flash bricks instead of SAS-based mostly SSDs.
Dell EMC mentioned a PowerMax configuration designed for storage-type reminiscence will be obtainable in 2018. aid for NVME over fabric is on the seller's roadmap.
This isn't Dell EMC's first NVMe-based storage product. prior to merging with Dell, EMC in 2014 bought all-flash chip startup DSSD and transformed its NVMe-over-PCI categorical expertise into a rack-scale appliance, known as DSSD D5. built with a proprietary customized flash mesh, the product become scrapped in 2017 following bad revenue generally as a result of the system's excessive fee.
PowerMax NVMe flash arrays are designed on trade-usual add-ons. The structure unlocks about 25% greater efficiency than present VMAX methods, mentioned Sam Grocott, senior vp of advertising for Dell's infrastructure solutions neighborhood.
One Dell EMC all-flash PowerMax system is rated to carry throughput of as lots as 150 GBps and 10 million IOPS.
"The hallmark of VMAX has been [the ability] to support massive-scale commercial enterprise databases, and that is the reason going to continue. What's new with PowerMax is you could now consolidate your next-era apps for analytics, IoT and cellular, as neatly -- all on a single, scale-out storage platform," Grocott noted.
Two PowerMax fashions could be available beginning may additionally 7. customers can birth with a 10U PowerMax 2000 and stand up to 13 TB of helpful skill in a single NVMe brick. a bigger array, the PowerMax 8000, can accommodate eight bricks and scale to 4 PB of usable storage.
Dell EMC PowerMax uses NVMe flash conclusion to conclusion.
not like VMAX arrays, the PowerMax OS comprises inline deduplication. valued clientele can set statistics dedupe and compression aspects per application and run it and not using a performance have an impact on on existing data functions, Grocott observed.
together with the NVMe makeover, the Dell EMC all-flash PowerMax integrates desktop discovering to research billions of facts sets and recognize patterns.
"The laptop researching ensures that we place the right statistics on the right storage media, according to a big quantity of clever suggestions that we now have gathered," Grocott talked about.
"What I locate pleasing is that or not it's nonetheless form of early for a number one storage dealer to thoroughly NVMe-ize their flagship storage platform, along with the entire business-class facts services bells and whistles," talked about Eric Burgener, a research vice chairman with IT analyst firm IDC. "Pure Storage did this in might also 2017 [with FlashArray//X], but Dell EMC is a number one supplier -- with the aid of revenue and market share -- in a means that Pure is never."
Greg Schulz, chief advisory analyst at IT consultancy Server Storage IO in Stillwater, Minn., talked about there is extra to PowerMax than just NVMe.
"PowerMax is a subsequent-technology gadget," he observed. "this is more than without problems bolting on new [flash] contraptions. The price proposition is AI and laptop discovering are enabling an influence. The brains are Dell EMC application that permits you to benefit deep perception [based on] examining statistics over a protracted length of time."
Grocott spoke of Dell EMC will proceed to promote the existing VMAX 950F and 250F fashions which are all-flash, but use SCSI SSDs. He additionally stated the seller can have migration tools to aid flow statistics from VMAX to PowerMax.
"It become very wise for Dell EMC to no longer discontinue the SCSI-primarily based VMAX arrays," Burgener talked about. "They can be slightly cheaper to buy and fewer performant, however they still deliver loads of efficiency to endure. this may provide Dell EMC's shoppers the freedom to select the platform that best fits their requirements -- all NVMe or SCSI-based NAND flash."
Dell EMC all-flash XtremIO replicates deltas
probably the most chief client requests from XtremIO valued clientele has been native replication between hosts and pursuits. The asynchronous characteristic is part of a application upgrade available on Thursday, may 3.
Dell EMC refers to XtremIO X2 replication as "metadata-conscious," meaning simplest picture adjustments inside the statistics set are transmitted to a backup target.
Dell EMC supplied few particulars on its new entry-degree XtremIO X2 array, claiming handiest that entry pricing become about fifty five% lessen than its existing XtremIO structures.
For groups in search of to install server-aspect flash, Dell brought two new four-socket PowerEdge servers: the R840 and the R940xa.
The 2U PowerEdge R840 is aimed at statistics middle analytics. users can set up as many as 24 NVMe direct-connected SSDs to accelerate information and scale efficiency by means of adding two GPUs or field-programmable gate arrays (FGPAs).
PowerEdge R940xa -- xa stands for intense acceleration -- elements a 1-to-1 ratio of GPUs to CPUs, concentrated ordinarily on average and in-memory databases. The R940xa helps as many as 4 GPUs or eight FPGAs. purchasers can scale storage by using mixing up to 32 drives within the box.
Dell additionally previewed PowerEdge MX, a modular structure designed for software-defined storage and composable infrastructure. That product is anticipated to hit the market later this yr.
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XtremIO Solutions and Design Specialist Exam for Technology Architects
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The exam DES-1D11: Technology Architect — Midrange Storage Solutions is a DELL EMC certification that is intended to certify your skills and knowledge to architect the technology track as a specialist. If you are going to appear in this exam then you need some insight and overview of the exam first. Which is provided in this article to guide you?
The DES-1D11 exam is designed and intended to validate and measure your knowledge and understanding that you require to the architect as well as size the solutions for EMC unity and SC Series. With this certification your basic and advanced knowledge about the key products of this storage. Systems are also validated. The key products, of which knowledge and understanding are validated and measured are the ‘All Flash Array, Hybrid, and VSA’. So you need to have a better understanding of these products as well as the storage systems.
This DES-1D11 exam is offered by Dell EMC and conducted by Pearson VUE. In this exam, there are around 60 questions of which the format is not specified by dell. The exam is about 120 minutes long and the benchmark to pass this exam is 60 marks.
Exam Topic Structure:
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About 42% of the exam content and questions are tested from the topic based on your knowledge and understanding of Dell EMC Midrange Product Solutions in which you are required to identify some key features of the operating system. In addition to this topic, 33% of the exam is about testing your knowledge and understanding of Dell EMC Midrange Best Practices, Sizing, and Design. The rest of the exam portion i-e about 25% focuses on validating your skills and understanding of Dell EMC Midrange Architectures.
Dell EMC offers the appropriate training courses and preparation materials such as sample practice tests which covers the topics and objectives of the exam content and is quite helpful for you to prepare for the exam DES-1D11.
For More Details: http://www.certswarrior.com/exam/des-1d11/
Simulation and analysis (S&A) are not known for its simplicity. It has traditionally been the domain of experts. The problems they encounter are theoretically complex, and the software used reflects this complexity.
Nevertheless, S&A has become a key area of product development. This raises questions like: How can it be made easier? How can we spread the use of these tools to a wider part of the product design community? And, can simulation process and data management (SPDM) help to democratize S&A?
A broader user base. Commercial SPDM solutions are only in use by less than five percent of simulation specialist engineers in mainstream companies. But with easy-to-use apps that contain, among other things, embedded simulation expertise, there is promise of a possible broadening of the user base.
Let us look at simulation with a focus on SPDM. The adoption of SPDM within mainstream product development has, according to CIMdata, “been extremely disappointing from a business impact perspective.”
According to the analyst, fewer than five percent of all simulation specialists worldwide use some form of commercial simulation data management technology to manage and archive their simulation models and to collaborate with other simulation specialists and design disciplines within their organizations. With this in mind, a broader use of simulation tools and results can become powerful support for important advances in the utilization of modern product development technology
Although there are exceptions, simulation software is generally not easy to use, share, or, for that matter, even understand for some members of product development teams. At the same time, the capabilities of the software and the results are necessary to understand the physical behavior of designs and to validate their functionality, strength, motion in a flow, etc., as well as satisfy regulatory requirements. This does not mean that they’re not useful for less complex simulations. But in general, their overall effect has been bottlenecks in the product design process, making for a longer time to market, and a longer wait before revenues start rolling in.
Can the tools and processes become more useful not only for the analysts, but also in the broader "designer collective" in this development chain's increasingly important link?
Process Templates Are Not the Answer
Gartner Group's PLM analyst and vice president, Marc Halpern, was one of the first employees of the now market-leading CAE software developer ANSYS.
Gartner's PLM analyst and vice president, Marc Halpern, has a solid background in simulation and analysis. He was one of the earliest employees in ANSYS, the leading simulation software vendor. There is of course more than one solution to the democratization of simulation software, he notes, but an interesting aspect that is sometimes heard in the discussions is: "Democratize CAE with SPDM (simulationprocess and data management)." But can SPDM really democratize CAE? Both yes and no, says Halpern:
“I have always understood SPDM as a way to manage models and results. A single CAD model can be used to create many different models to perform many different simulations. Although simulation models and data are managed perfectly, this in and of itself does not mean that CAE becomes more democratic. Not even the ‘process templates’ can solve the basic problem,” Halpern claims, pointing to things like general confidence in the results.
“Does the model used match reality so that the results become useful? Another important point is about the interpretation of the results, which can be a problem.”
On the other hand, Halpern says that there are promising examples of embedded expert knowledge and methods in SPDM solutions, pointing at (Aras-owned) Comet’s SimApps. “I believe this is what differentiates what Aras is selling from what I typically see from SPDM technology,” he said.
Though the concept of simulation with good SPDM has been recognized as having a lot of potential, the adoption of SPDM solutions has been an “extreme disappointment", as CIMdata formulates it.
The emergence of simulation as a key technology can be seen in reduced use of physical prototypes. Simulation and analysis tools can replace a physical prototype with its digital version. Products that only exist virtually must be tested and validated before they are produced. Not only that, in the era of mass individualization, a large number of variations can produce families of products or parts, and they all have to work.
With a connected product (IoT), the operation of a product will also generate usage data and information about the part’s environment and operating conditions.
ERP is Immediate ROI, SPDM is Long-Term
As a result of these trends and new technologies, the number of simulations has increased dramatically in the last decade, reflected in the growth of investments in simulation and analysis tools.
According to CIMdata, this growth has made simulation the “star” of the PLM industry, with annual growth rates of around 10 percent over each of the past five years. They have thus also achieved an average growth substantially higher than other PLM investments (CAx, ALM, cPDm etc.) during the same period.
In 2017, investments into simulation software and service investments were worth $5.5 billion, making up 13 percent of the total of the PLM investments.
So, how has this fertile climate affected the growth of SPDM? While CIMdata states "the end-user's interest in SPDM has increased significantly over the past decade," increased interest has not caused increased implementation. CIMdata voices "an extreme disappointment" over the slow industrial uptake of SPDM, at least outside the major automotive and aerospace industry’s OEM companies.
But Halpern is not surprised. “There are good reasons for this [slow uptake]. In stark contrast to ERP investments—which provide immediate cost-saving effects that are directly reflected in the form of profits and rising share prices—SPDM investments are more likely to provide long-term positive effects, which are more difficult to detect immediately. SPDM can make engineers more productive in a way that, from management's point of view, does not have the short-term, immediate benefits that ERP provides,” explains the Gartner analyst. Since so few senior executives understand SPDM, they can’t really support it. SPDM is not like product design, sourcing and manufacturing operations, where what can go wrong can be quite obvious, cause delays in the delivery of the product, and affect the company’s bottom line.
They know that construction and technology are important, Halpern adds, but the "pain points" and the consequences of design engineering are often "too far over the horizon” for executives.
“Therefore, most of the support for SPDM ventures generally comes from engineering teams, and the simulation teams in particular. It doesn’t help that SPDM is difficult to implement—as difficult, if not more, than PDM. All in all, this is the reason I can see behind the slow growth in SPDM.”
Again, the situation is not encouraging.
"The real adoption rate within mainstream product development activities has been extremely disappointing from a business impact perspective... Unfortunately, the most common form of SPDM in practice today is still the use of personal hard disk storage on the simulation engineer’s desktop or perhaps a shared drive used in common with other members of their immediate organization. Naming and versioning of simulation models and results is haphazard at best and totally inconsistent in the worst cases. This makes the traceability and pedigree of simulation models and results extremely difficult, if not impossible, to accomplish and can lead to a lack of confidence in the accuracy of the simulation results versus physical test data," CIMdata writes in the 2018 release of its Simulation & Analysis Market Analysis Report.
Nevertheless, thereare some positive signs which point to a possibly larger utilization.
“The real value of SPDM from a democratization perspective is that, after all, there are tools that enable experts to package the knowledge that can be linked to a design model in a way that makes it possible for many designers without advanced simulation knowledge to take part of, and even do, simulations,” says Halpern.
Turning Months into Days
One company that has SPDM platforms to its advantage is Boeing. By tying together simulation and process data, Boeing manages to shorten some development processes substantially.
This goes well in line with other cases where development processes have been shortened from months to days. In extreme cases—when the correct knowledge, interpretation and the correct simulation results are all embedded in the design model—the development process can be shortened to hours.
This proves SPDM solutions can be a key to success when the use of simulation tools is constantly growing—with the caveat that they are not only used in “normal" design processes, but also in later phases: during the product realization process, as well as when products are in use.
More and more PLM vendors are also starting to look at packaging and developing solutions that make simulation more accessible to multiple stakeholders in product development teams. It’s common knowledge that there is a gap and that the demand for bridging the gap is on the rise. Sweden-based multiphysics software vendor, COMSOL (with the Application Builder), was early to offer solutions for this, but also the simulation giant ANSYS, MSC and the three PLM majors (Siemens PLM, Dassault and PTC) are now working on broadening their respective platforms’ functionalities related to SPDM. The PLM rocket, Aras, closed the gap between simulation and developmentwhen it acquired Comet Solutions at the end of September 2018.
“Much remains to be gained if we can close the gap between simulation and mainstream design by giving simulation analysts the opportunity to repeat and reuse simulations while connecting the analysis to product configuration and multidisciplinary design through quality of life,” says Marc Lind, senior vice president of Strategy at Aras.
SPDM challenges. The adoption of SPDM solutions is far from a question of technology only. People, processes and company culture, as well as governance play significant roles.
SPDM to Understand Product Realization Process
As for the commercial SPDM solutions, CIMdata points at a problem in this context: they have been developed specifically for 3D modeling and simulation (such as finite element analysis and computational fluid dynamics). This means that they often lack effective support for models and information created in 0D/1D systems modeling, which is critical when implementing an MBSE (Model-Based Systems Engineering) approach.
However, the major solution providers are now recognizing this need and the analyst expects to see significant progress in this area over the next several years.
But the low mainstream adoption rate is far from a question of technology alone. People, processes and company culture, as well as governance, play significant roles:
People because they are probably the most challenging parts of putting SPDM to effective work in the broader team environment. Organization, education, training, competence, and methodology are critical aspects here
Processes because they, among other things, have to address areas like PLM integration, S&A best practices, roadmap navigation models, and synchronization between virtual and physical verification and validation
Company culture and governance because you have to formulate and carry out a vision, a strategy, and a detailed plan on the path to implementing the SPDM system.
However, software vendors are still in the early days in developing SPDM solutions that are both robust and easy to use.
Most analysts alsoagreethat the exponential growth of CAE and the explosion of simulation-related data appearing from increasing digitization, new technologies and disruptive product realization methods requires more competent management systems.
“Without good SPDM tools, it will be difficult to effectively understand this part of the product realization process,” says Marc Halpern.
Simulation is an indispensable element throughout this process. Why?
Distributed product development and manufacturing is growing stronger
Realizing business benefits of model-based system technology (MBSE) is becoming increasingly important as systems of systems become more common
Operation of digital twins
The creation and utilization of IoT, IIoT and Industry 4.0 concepts has taken off worldwide
The increase in the number of additively manufactured parts and components (3D printing) requires new design methodology and new insights
Hybrid additive technology (adding material) and subtractive (removing material, i.e. CAM/NC) technologies
An increased use of generative design (where the software proposes an optimized design based on the basic model).
“SPDM platforms will be crucial to realizing the true potential of PLM, digital threads and digital twins, and enable collaborations with other corporate platforms, such as ERP, MES and MRO to realize Industry 4.0 concepts in the next step,” Halpern adds.
CIMdata agrees in its 2018 report: "Companies need to be better at managing simulation models, results and related design information, improving collaboration and reusing and better integrating simulation activities into the PLM environment. Doing this supports a larger audience of product development engineers, engineering managers, product managers and others in the extended organization and supply chain who can benefit from access to simulation information to make more informed decisions."
Halpern concurs, adding, “But there are also elements in the data management, which I observed in my research on digital twins, which applies to SPDM. I see a strong connection between the digital twin concept and SPDM.”Embedded Knowledge, Disrupting Institutional Silos
CAE is traditionally one of the more well-preserved siloes in product development. But in recent years, we have seen increased communication between the analysis, simulation and the rest of the members of the product development team. Also, it is clear that new disruptive technology can be a catalyst and is able to break up isolated data structures.
But there’s more. Can a software developer create solutions that can meet the new requirements to extend collaboration opportunities, Halpern wonders.
Without uncertainty. Is it possible to parameterize the thermal analysis of a microprocessor on a circuit board, so that it can be applied to similar configurations and variations without uncertainties about the mesh?
During a NAFEM presentation, the Gartner analyst said that this is an example of a capability that one can embed in a model.
“Some call it encapsulation,” Halpern continued. "But whatever you call it, this kind of encapsulated information can free up engineers from having to be full-time analysts. The specialized terminology, conventions, and features of the simulations can stay under the hood and the interface made considerably easier to use. A complex problem can be solved with a handful of parameters. This would provide simulation to not only engineers, but also to others involved in the product and its design.”
Aras Takes a Step with Comet Acquisition
Allowing more engineers to perform simulation is exactly what the PLM developer Aras was aiming for when it purchased Comet. The acquisition is an important step on a roadmap for developing platform-based SPDM to support increased use of simulation for complex scenarios.
Aras aims to improve Innovator’s ability to handle simulation data. With Comet's technologies, manufacturers and product developers can reuse complex simulations to scale up or down the application and widen the use of simulation results. One result: it is now possible to connect simulations and gain access to experts in the field by offering traceability, access and reuse during the product life cycle.
Comet's products are largely based on a series of customer-developed and web-implementable "SimApps," with built-in expert knowledge and methods. “These SimApps,” says Aras Marc Lind, “create a simulation-driven design that fits all users, from CAE experts to design engineers. "
We ask Halpern if this is what he meant by encapsulated knowledge.
“Exactly!” says the Gartner analyst. “This distinguishes what Aras sells from what I usually see in terms of SPDM technology.”
He added that Comet's real value in democratizing simulation is its ability to integrate functionality and knowledge into CAD models so that the person making the simulation or evaluation need not worry about complex problems and intricate trade-offs to make the simulations.
“Encapsulated knowledge takes care of it."
Web-based Simulation a la Aras. Comet’s SimApps (now part of Aras) are web-based simulation programs that are easy to use, even for salespeople. Product engineers can perform complex simulations safely. These SimApps can answer specific questions about the design of a product in a product family, for example. Comet experts, partners and customers have built, tested, and deployed a comprehensive library of SimApps that capture and execute best practices for simulation, automate repetitive and tedious tasks and secure the power of sophisticated CAE analysis in the hands of both experts and non-expert users.
Links Between Users and Non-Experts
An important point to get SPDM to work is to apply a "vendor-agnostic" implementation by connecting a wide range of CAD, FEA, meshing, 0D/1D simulation tools and proprietary applications. It is a requirement for supporting the often heterogeneous software environments found in organizations.
Aras's chief architect, Rob McAveney, argues that wider use of simulation has generally deteriorated as the simulation process and data management tools (SPDM) lack effective links between simulation users and the extended enterprise.
“Expanding the digital thread to include simulation tools and processes has emerged as an important factor for future business models,” he says. “Simulation can add significant value to product development, manufacturing and field operations, but has not yet reached its potential due to limited connection to the rest of the company. Through Comet we can capture what is needed to realize the potential: Repeatability, reusability and traceability for simulation across the entire product life cycle”
McAveney sees a market growing exponentially, while progressing as the utilization of physical testing decreases. He also points out that the complexity that comes with smartly connected product design and MBSE are important trends that will support the need for this type of platform.
“We see simulation in its context, with overall system technology processes together with configuration and change, variants, requirements, validation testing and more. The fact that simulation management is often completely disconnected from mainstream processes is a problem as there is no traceability throughout the product life-cycle loop,” says McAveney.
McAveny points to the importance of developing the "digital thread" and solutions with digital twins for predictive maintenance.
"With Comet technology we close the gap between simulation and mainstream design by giving simulation analysts methods to repeat and reuse simulation, link the analysis to product configuration and design during the product life cycle,” he summarizes.
He also points to Comet's ability to handle mixed models, different data types and representations of the same product. The same applies to assembly, which also needs to be simulated. All in all, this offers "an important aspect of managing system simulations across several technical disciplines."
The ability to extract intelligence from simulation models and results, rather than just managing data at file level, is also a big advantage over other SPDM systems on the market.
What the general setupof ANSYS’s SPDM solution EKM looks like.
Others Get into the Act
Aras is not alone. PLM market leaders Siemens and Dassault Systèmes have invested heavily to beef up their simulation solutions in recent years. ANSYS, PTC, MSC, and others, are working on their own SPDM solutions.
One of the main reasons for this is the demand from customers in industrial segments that are convinced of the power of simulation and SPDM, such as automotive and aerospace."Among those who are early on to pick up SPDM (like BMW), design decisions --or simulations that led to a design decision - must be traceable," says Marc Halpern. “The test data management functions that Aras is developing with BMW will be interesting to follow. The combination of SPDM with next generation test data management can lead to exciting insights into system development that are designed or evaluated.”
Will an SPDM solution help them in their efforts? Given the above arguments, it is not unreasonable to expect some kind of difference. But, selling this type platform of is not an easy task.
In addition, one should bear in mind the built-in structural resistance in corporate organizations, where the simulation has always been its own department and the argument for a well-functioning SPDM encounters is countered with the significant costs of its implementation, especially true at large automotive and aerospace companies.
But for the bottom line, the return on investment of SPDM looks convincing enough. Even “compelling”, asserts CIMdata in its 2018 report.
Finally, Aras this week announced a partnership with Visual Collaboration Technologies (VCollab) for simulation visualization, post processing, and reporting. Aras will use the VCollab technology in SPDM processes across the lifecycle. Worth noting is the fact that VCollab can handle formats from all of the big simulation developers (ANSYS, MSC, etc.), which makes it easier to spread and understand simulation results in broader product realization teams. This is one of the greatest values with SPDM.
15 Oct, 2009 By: Angus W. Stocking
New technology allows humans to harness computational powers for practical ends and to generate building design options that couldn't otherwise exist. How did it develop, and where will it lead us?
Editor's note: Earlier this week at its Be Inspired awards event in Charlotte, North Carolina, Bentley Systems recognized outstanding applications of its infrastructure design technologies in 17 categories. Many finalists incorporated GenerativeComponents, a relatively new technology that facilitates quick exploration of what-if design alternatives that can result in free-form buildings incorporating innovative materials and assemblies. The winner in the Innovation in Generative Design category was Feilden Clegg Bradley Studios (Worcester, United Kingdom) for the Worcester Library and History Centre, notable for its roofscape that reflects the undulations of the nearby Malvern HIlls. Following is a look into the development of GC technology and how it is changing the approach to building design for many architects. Watch Cadalyst.com for future coverage of other Be Inspired award winners.
Author Jim Paul remarked in Catapult: Harry and I Build a Siege Weapon that only with the invention of the catapult did engineers begin to attain pre-eminence in world affairs, for it was the use of the catapult that viscerally demonstrated — for the first time — humans controlling mechanical forces many times more powerful than the human body.
It feels as if a similar shift is now happening in architecture, as a new class of software tools — collectively termed generative design — allows humans to control intellectual forces many times more powerful than human minds to design and construct buildings that could not otherwise exist. It is not the first time, of course, that humans have harnessed vast computational powers for practical ends, but something about walking around inside the results brings home the magnitude of what is happening.
Humans are fond of impressive buildings. The 2008 Olympics, for example, probably will be remembered as much for two spectacular buildings — the Beijing National Stadium and the Beijing National Aquatics Centre — as for the many world records that were set in them. Better known as the Bird's Nest and the Water Cube, respectively, the buildings’ design, engineering, and construction depended heavily on generative design. By seizing the world stage so dramatically, the two buildings raised the profile of generative design (also called computational design or parametric design) and, to some extent, architecture may never go back.
A night-time view of the illuminated Beijing National Aquatics Centre, or Water Cube (left), and the Beijing National Stadium, or Bird's Nest (right).
Securing the design contract for the National Aquatics Centre for the Beijing 2008 Olympics was a task worthy of gold-medal distinction in itself. Arup (a multinational engineering, design, project management, and consulting firm), PTW (an architectural firm based in Sydney, Australia), and the China State Construction Engineering Corp. (CSCEC, Beijing and Shenzhen) beat out 10 qualifiers for this prestigious, world-class project. Arup used MicroStation, MicroStation TriForma, Bentley Structural, and Bentley's generative design technology for its unique design based on a natural pattern of organic cells and the formation of soap bubbles.
"Generative design is not about designing a building," explained Lars Hesselgren, "It's about designing the system that designs a building." Hesselgren is director of research at Kohn Pedersen Fox Associates (KPF), an international design studio, and a cofounder of the SmartGeometry Group, a nonprofit collective that is taking the lead in bringing generative design concepts to real-world architectural projects, mainly through a series of groundbreaking conferences. (To learn more about the SmartGeometry Group, see the sidebar at the end of this article.)
By bringing together working architects, academics, and industry members, SmartGeometry has raised the bar for generative design in actual practice, influenced some of the best minds now entering architecture, and fostered an unusually close collaboration with industry to produce Bentley's GenerativeComponents software.
Built into MicroStation V8i, GenerativeComponents is associative and parametric modeling software that can be used by architects and engineers to automate design processes and accelerate design iterations. It gives designers and engineers new ways to explore alternative building forms without manually building a detailed design model for each scenario. It also increases efficiency in managing conventional design and documentation.
Architecture Gets an UpgradeGenerative design proponents agree that it isn't that architects are now using computers to do things that couldn't be done previously. Rather, computers are enabling architects to take on design tasks that would otherwise be inconceivably tedious. "It's like fractals," said Hesselgren. "Ada Lovelace knew something of them in the early 1800s, but to work them out by hand and obtain significant results would have taken her several lifetimes." Similarly, computational techniques exist today to work out, for example, the interwoven facade of the Beijing National Stadium, but to resolve a particular iteration using conventional CAD techniques would take so much time that, at best, just one or two versions would have been considered.
J Parrish, director of ArupSport, the division of Arup at the leading edge of large-venue design, and also a cofounder of SmartGeometry, added, "Using parametrics, I was able to investigate far more alternatives. We built version 34 because it was better. But version 1 would have worked fine. Generative design allowed us to get better results in a fraction of the time."
ArupSport provided engineering and design services for both of Beijing's major Olympic venues. Parrish helped pioneer the rapid prototyping face of generative design and began working with Microsoft's Visual Basic and Excel — "a useful interface" — and MicroStation in the 1970s to design stadiums quickly. By tweaking any of 3,000–4,000 parameters, Parrish was able to quickly compare, for example, various 50,000-seat positioning schemes and optimize them for views, distance from the field, and other factors.
"I could do in a morning what used to take me a month," Parrish said. Combined with other new technologies such as real-time rendering and 3D printing, parametrically enabled rapid prototyping amounts to a new way of performing architectural design — arriving at optimum solutions using side-by-side comparisons of multiple, slightly different versions, rather than depending on the "flashlight in the dark" of one designer's genius.
A complementary approach also is possible. Rather than using multiple versions to decide what is best based on comparison, architects can instead use computing power to find structural solutions that are self-organizing; that is, not decided on by an individual but arrived at by genetic algorithms that iteratively apply relatively simple rules. The Water Cube's soap bubble-like structure is an example of this approach.
The ceiling over this pool showcases the Water Cube's "soap bubble-like" structure, which was designed with parametric software specially written for the purpose.
According to the book Space Craft: Developments in Architectural Computing (RIBA Publishing, 2008), "Irish physicists Denis Weare and Robert Phelan were able to calculate that the most efficient way to divide a space into cells of equal volume while minimizing the surface area between them was to use a stacked arrangement composed of 75% 14-sided shapes and 25% 12-sided shapes." So far so good, but since the resulting structure would have 22,000 steel members connected at 12,000 nodes, generating an actual model based on the idea exceeded the reach of conventional design.
Instead, according to the book, to manipulate this complex geometric system dynamically, Arup wrote parametric software that automated the drawing and analysis process. Based on specified design constraints and less than 190 loading scenarios, the algorithm iteratively checked the distribution of forces through the entire structure based on specific member sizes, allowing the team to test different design configurations and receive feedback within 25 minutes. The result was a spectacular building with a sophisticated structure that is optimized in terms of material weight-to-strength ratio, and it was achieved with relative ease. In addition to the structural advantages, Arup estimated that it saved $10 million on design costs alone compared with traditional design methods.
The optimal design for the Water Cube was determined by analyzing multiple configurations of the thousands of steel members and connecting nodes.
Where It All Began for SmartGeometry
In an article written for the online magazine Core.Form-ula, Lars Hesselgren, director of research at Kohn Pedersen Fox Associates (KPF), discussed the origins of the SmartGeometry Group that he cofounded. "I got together with some friends who all had an interest in complex geometry in architecture, and we together created the SmartGeometry Group. Hugh Whitehead is the head of Foster+Partners specialist geometry group, and he had just finished organizing the London Gherkin geometry. J Parrish, head of ArupSport, had developed a vast spreadsheet that allowed him to design a 100,000-seat stadium in a morning. Robert Aish, a computer scientist, was working at Bentley researching object-oriented programming at the time. I myself at KPF was just starting to contribute to the Pinnacle tower in London. So each of us had tools, techniques, and a gut feeling that programming architecture was going to be a powerful source of new inspiration for architects."
This was in 2001, and the group's first conference was held in Cambridge, United Kingdom, in 2003 and every year since except 2005. The 2009 conference was in San Francisco, California. "We just picked the right time," said Parrish. "It's actually difficult to start this kind of organization at the wrong time. But with the passion of the founders and the mutually beneficial relationship with Bentley, the rest is history."
The object-oriented programming that Aish was developing eventually became Bentley's commercial software GenerativeComponents. At the time, it was the equivalent of a concept car — powerful, fast, and flashy, but also unstable and changing daily. At the SmartGeometry conferences, Bentley provided computers, software, tutors, and other resources such as a room full of 3D printers for prototyping. The SmartGeometry directors used their contacts in academia and architecture to provide smart people pursuing interesting projects.
Parrish noted that the maturation of software is changing SmartGeometry and the practice of generative design. "We have gone from not having the tools to a stage in which a capable design system has parametric capabilities that more people can use. The conferences have to reflect that. In the first years, they were places for like-minded people to get over hurdles and make things work. Now we can focus more on the actual problems and attract the best designers, not just the people who are best at working with software. So in 2010, we can focus more on the end product and not judge on the simple fact of getting something to work."
Just as the bright people at conferences forced the software tools to evolve quickly, the maturing tools and new wealth of knowledge are forcing SmartGeometry and the larger community to evolve, and all of this is happening in real time. Changes are occurring so fast that even those who think they know the field are continually amazed.
Building on RelationshipsJenny Sabin, codirector of Sabin+Jones LabStudio, a lecturer at University of Pennsylvania, and a long-time tutor at SmartGeometry conferences, offered her take on generative design: "Architecture is inherently about relationships. I'm interested in the way small, local relationships and simple parameters give rise to complex scenarios — bottom-up design as opposed to top-down. Generative design gives rise to emergent behaviors and forms." By bottom-up and emergent, Sabin is alluding to the natural processes that create complex structures such as termite mounds. Without benefit of a designer, simple, rule-applying units such as termites interact with basic materials — in this case, soil — to create complexly ordered structures.
Sabin uses generative design in fields only tangentially related to architecture, but they ultimately affect the way that she negotiates complexity in architectural contexts. For example, Sabin+Jones LabStudio is investigating the way surrounding cellular structure affects breast cancer growth and finding that modeling cell growth patterns with computational techniques yields insight into cancer formation. "Generative design allows us to navigate and generate complexity in a way that technology hasn't achieved before," she explained. "Algorithmic design is not necessarily new, but the tools we now have for approaching bottom-up design are far more sophisticated. It's almost as if the software itself has become a new material to work with."
SmartGeometry's Hesselgren offered an interesting differentiation about the use of computers in architecture. "There is a big difference between designing architecture as opposed to recording it properly. Concepts like building information modeling are important, but they're concerned with recording design decisions. They don't talk to you. Computers haven't done much but record until recently, and the ability to record is not the most important thing we do."
ArupSport's Parrish said, "What we're doing is not really new. In the '70s, I saw people doing parametric design with spreadsheets — they could work out lifts, 2D plans, etc. But with SmartGeometry and commercial software like GenerativeComponents, the work doesn't die when the people creating it move on. Other people can build on it, and the returns are substantial."
This iterative, emergent process — people designing better tools to take on interesting projects and then conceiving more interesting projects to take advantage of the better tools — is at once new and quintessentially human. By building and using better design tools and creating a culture that gets the most out of these tools, the generative design movement is becoming a potent tool for evolving our built environment.