Enterprise SOA Meets Grid

By By Art Sedighi, Senior Consulting Engineer, DataSynapse

June 19, 2006

Much of what we hear in the news about new technology tends to have marketing hype all over it. Software architects need to remove hype from the real thing to match expectations of stakeholders with current technologies. This article touches upon the difficulties of “going SOA,” as well as some of the benefits. Most of us have only heard of the benefits of SOA, but none of the challenges. The article will also go into how Grid computing can remedy these difficulties.

What is SOA? The buzzword does not give an adequate explanation. There is no simple answer to the question, but rather a set of criteria that define what comprises a service-oriented architecture. A Web service is registered with UDDI Directory by a service provider and its public interface is exposed via WSDL and accessed by a Service Consumer thru SOAP.

Figure 1

Figure 1:  The Triangle of Web Services

We've known about this concept for a while, but we now have the technology to backup what the “theory” of SOA originally set forth to do. Services can be explained as “self-contained” and “self-managed” components, but these terms are the cause of many headaches and sleepless nights. Benefits such as decoupling of clients from the business logic, run-time binding of supply and demand, scalability, availability and being able to implement an enterprise SOA solution can be easily realized, as well.

These benefits come with challenges, such as securing your enterprise, accessing services, providing quality of service desired by service consumers, controlling services in a uniform, central location and managing the infrastructure that supports your services.

Enterprise SOA Explained

Enterprise SOA can be defined as being able to expose services to the entire enterprise and accessing services exposed by others. The identification process, recognizing which pieces of your enterprise can be service-ized, is the key step for a service-oriented design. Decoupling business logic from the rest of the application can be daunting.  A service must be general enough to answer the call of more than one application, and specific enough to do something useful for that application.

A bottom-up or a top-down approach can be taken toward enterprise SOA. The bottom-up approach starts with one application — a low hanging fruit — and works up through the rest of the enterprise by service-enabling one application after another. This approach is safer, but takes longer and faces bigger challenges after service enabling a few applications — when larger, mission-critical applications have different and more constraining requirements.

The top-down approach starts with top-level managers and a vision, which is propagated throughout the enterprise, with different groups taking on the challenge. This approach has better promise, but can lead to top-level management not realizing the needs of every project in large enterprises, resulting in an implementation that is staggering at best — with lack of interoperability between applications at worst.  

A hybrid of the two approaches is becoming commonplace. Consider management from the enterprise level with architects and managers representing different parts of an enterprise. The 4 Ps — people, pilot, plan and proceed — are one way to go. Select the right people to pilot small applications, ensure feasibility, come up with an enterprise-wide plan and proceed with its execution upon approval.  

Standards and protocols that effect Web services and SOA implementations must be followed closely. Vendors do not tend to implement every standard for obvious reasons. Part of the job of your consortium is to choose standards that your enterprise needs to follow. This is not an easy task because this choice could tie you to a specific vendor. 

SOA and Grid Computing

Some challenges faced by enterprise SOA implementations have already been resolved with Grid computing. It can be argued that Web services and SOA are extensions of what we expect from high-performance and cluster computing. Being able to remotely invoke an executable service, without much knowledge of the executable location or configuration, has been around with batch systems for decades. As remote execution or Remote Procedure Call (RPC) has evolved to Web services, batch systems have evolved to Grid computing — allowing us to think of the two technologies as complementary.  

Thinking of both technologies as one makes decision making much easier. If a Grid computing infrastructure is in place, you should look into utilizing it for your SOA initiatives. Both initiatives should fall under the same umbrella — even if you are not ready to take on both challenges simultaneously. Grid computing has a lot to offer your enterprise's SOA plans, as problems such as security, Quality-of-Service management, deployment of services and central administration have already been solved by Grid software vendors.  

Figure 2

Figure 2:  The Triangle of Grid Computing

As an added benefit, Grid computing virtualizes your services even more by adding another layer of indirection. The scheduler in Figure 2, known as the resource manager, is accessed by clients to forward client requests to the appropriate Service. The Grid service is exposed through the same fashion a regular Web service would (through UDDI and WSDL), but the scheduler can enforce Quality-of-Service, security and load balancing across available resources.  

Enterprise SOA Management

Now that all of your services are developed and ready for use, how are you going to manage them? This is probably one of the most challenging tasks of an SOA infrastructure. Central policy management is required for a sizeable SOA implementation. Access policies go from “nice to have” to “must have” in a moment's notice, obligating additional resources to manage your services. The cycle continues until ROI is vanished due to the vast resources required to keep your infrastructure up. What's worse is going back to the silo implementation that you started with.

Implementing a grid can assist in achieving an enterprise SOA solution. It manages resource deployment, provisions, and alleviates the costs and headaches of administration. As application silos fade, overall management of your enterprise becomes more efficient in the process.

Figure 3

Figure 3:  Using Grid Computing to Achieve Enterprise SOA

Having solved application deployment and provisioning, you need to manage access to the available services. This might be an easy task to start with, having only a couple of services and a limited number of clients to worry about, but it will soon require additional time, resources and money — much more than you are willing to spend. Grid computing software can take care of resource management for your enterprise and virtualize your underlying infrastructure and available resources. It takes control of your resources, schedules services to run as requests come in, prevents denial of service attacks and meets Quality-of-Service requirements set forth by users.  

High-resource utilization and sharing of resources across the enterprise is the added benefit of implementing a Grid infrastructure. Since the resource manager is in charge of knowing what each grid participant is doing, it becomes trivial to schedule requests to be processed by services wherever there is free cycle to be had.    

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Hyperion: AI-driven HPC Industry Continues to Push Growth Projections

November 21, 2019

Three major forces – AI, cloud and exascale – are combining to raise the HPC industry to heights exceeding expectations. According to market study results released this week by Hyperion Research at SC19 in Denver, Read more…

By Doug Black

At SC19: Bespoke Supercomputing for Climate and Weather

November 20, 2019

Weather and climate applications are some of the most important uses of HPC – a good model can save lives, as well as billions of dollars. But many weather and climate models struggle to run efficiently in their HPC en Read more…

By Oliver Peckham

Microsoft, Nvidia Launch Cloud HPC Service

November 20, 2019

Nvidia and Microsoft have joined forces to offer a cloud HPC capability based on the GPU vendor’s V100 Tensor Core chips linked via an InfiniBand network scaling up to 800 graphics processors. The partners announced Read more…

By George Leopold

Hazra Retiring from Intel Data Center Group, Successor Not Known

November 20, 2019

Rajeeb Hazra, corporate VP of Intel’s Data Center Group and GM for the Enterprise and Government Group, is retiring after more than 24 years at the company. At this writing, his successor is unknown. An earlier story on... Read more…

By Doug Black

Jensen Huang’s SC19 – Fast Cars, a Strong Arm, and Aiming for the Cloud(s)

November 20, 2019

We’ve come to expect Nvidia CEO Jensen Huang’s annual SC keynote to contain stunning graphics and lively bravado (with plenty of examples) in support of GPU-accelerated computing. In recent years, AI has joined the s Read more…

By John Russell

AWS Solution Channel

Making High Performance Computing Affordable and Accessible for Small and Medium Businesses with HPC on AWS

High performance computing (HPC) brings a powerful set of tools to a broad range of industries, helping to drive innovation and boost revenue in finance, genomics, oil and gas extraction, and other fields. Read more…

IBM Accelerated Insights

Data Management – The Key to a Successful AI Project

 

Five characteristics of an awesome AI data infrastructure

[Attend the IBM LSF & HPC User Group Meeting at SC19 in Denver on November 19!]

AI is powered by data

While neural networks seem to get all the glory, data is the unsung hero of AI projects – data lies at the heart of everything from model training to tuning to selection to validation. Read more…

SC19 Student Cluster Competition: Know Your Teams

November 19, 2019

I’m typing this live from Denver, the location of the 2019 Student Cluster Competition… and, oh yeah, the annual SC conference too. The attendance this year should be north of 13,000 people, with the majority attende Read more…

By Dan Olds

Hyperion: AI-driven HPC Industry Continues to Push Growth Projections

November 21, 2019

Three major forces – AI, cloud and exascale – are combining to raise the HPC industry to heights exceeding expectations. According to market study results r Read more…

By Doug Black

At SC19: Bespoke Supercomputing for Climate and Weather

November 20, 2019

Weather and climate applications are some of the most important uses of HPC – a good model can save lives, as well as billions of dollars. But many weather an Read more…

By Oliver Peckham

Hazra Retiring from Intel Data Center Group, Successor Not Known

November 20, 2019

Rajeeb Hazra, corporate VP of Intel’s Data Center Group and GM for the Enterprise and Government Group, is retiring after more than 24 years at the company. At this writing, his successor is unknown. An earlier story on... Read more…

By Doug Black

Jensen Huang’s SC19 – Fast Cars, a Strong Arm, and Aiming for the Cloud(s)

November 20, 2019

We’ve come to expect Nvidia CEO Jensen Huang’s annual SC keynote to contain stunning graphics and lively bravado (with plenty of examples) in support of GPU Read more…

By John Russell

Top500: US Maintains Performance Lead; Arm Tops Green500

November 18, 2019

The 54th Top500, revealed today at SC19, is a familiar list: the U.S. Summit (ORNL) and Sierra (LLNL) machines, offering 148.6 and 94.6 petaflops respectively, Read more…

By Tiffany Trader

ScaleMatrix and Nvidia Launch ‘Deploy Anywhere’ DGX HPC and AI in a Controlled Enclosure

November 18, 2019

HPC and AI in a phone booth: ScaleMatrix and Nvidia announced today at the SC19 conference in Denver a joint offering that puts up to 13 petaflops of Nvidia DGX Read more…

By Doug Black

Intel Debuts New GPU – Ponte Vecchio – and Outlines Aspirations for oneAPI

November 17, 2019

Intel today revealed a few more details about its forthcoming Xe line of GPUs – the top SKU is named Ponte Vecchio and will be used in Aurora, the first plann Read more…

By John Russell

SC19: Welcome to Denver

November 17, 2019

A significant swath of the HPC community has come to Denver for SC19, which began today (Sunday) with a rich technical program. As is customary, the ribbon cutt Read more…

By Tiffany Trader

Supercomputer-Powered AI Tackles a Key Fusion Energy Challenge

August 7, 2019

Fusion energy is the Holy Grail of the energy world: low-radioactivity, low-waste, zero-carbon, high-output nuclear power that can run on hydrogen or lithium. T Read more…

By Oliver Peckham

Using AI to Solve One of the Most Prevailing Problems in CFD

October 17, 2019

How can artificial intelligence (AI) and high-performance computing (HPC) solve mesh generation, one of the most commonly referenced problems in computational engineering? A new study has set out to answer this question and create an industry-first AI-mesh application... Read more…

By James Sharpe

Cray Wins NNSA-Livermore ‘El Capitan’ Exascale Contract

August 13, 2019

Cray has won the bid to build the first exascale supercomputer for the National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laborator Read more…

By Tiffany Trader

DARPA Looks to Propel Parallelism

September 4, 2019

As Moore’s law runs out of steam, new programming approaches are being pursued with the goal of greater hardware performance with less coding. The Defense Advanced Projects Research Agency is launching a new programming effort aimed at leveraging the benefits of massive distributed parallelism with less sweat. Read more…

By George Leopold

AMD Launches Epyc Rome, First 7nm CPU

August 8, 2019

From a gala event at the Palace of Fine Arts in San Francisco yesterday (Aug. 7), AMD launched its second-generation Epyc Rome x86 chips, based on its 7nm proce Read more…

By Tiffany Trader

D-Wave’s Path to 5000 Qubits; Google’s Quantum Supremacy Claim

September 24, 2019

On the heels of IBM’s quantum news last week come two more quantum items. D-Wave Systems today announced the name of its forthcoming 5000-qubit system, Advantage (yes the name choice isn’t serendipity), at its user conference being held this week in Newport, RI. Read more…

By John Russell

Ayar Labs to Demo Photonics Chiplet in FPGA Package at Hot Chips

August 19, 2019

Silicon startup Ayar Labs continues to gain momentum with its DARPA-backed optical chiplet technology that puts advanced electronics and optics on the same chip Read more…

By Tiffany Trader

Crystal Ball Gazing: IBM’s Vision for the Future of Computing

October 14, 2019

Dario Gil, IBM’s relatively new director of research, painted a intriguing portrait of the future of computing along with a rough idea of how IBM thinks we’ Read more…

By John Russell

Leading Solution Providers

ISC 2019 Virtual Booth Video Tour

CRAY
CRAY
DDN
DDN
DELL EMC
DELL EMC
GOOGLE
GOOGLE
ONE STOP SYSTEMS
ONE STOP SYSTEMS
PANASAS
PANASAS
VERNE GLOBAL
VERNE GLOBAL

Cray, Fujitsu Both Bringing Fujitsu A64FX-based Supercomputers to Market in 2020

November 12, 2019

The number of top-tier HPC systems makers has shrunk due to a steady march of M&A activity, but there is increased diversity and choice of processing compon Read more…

By Tiffany Trader

Intel Confirms Retreat on Omni-Path

August 1, 2019

Intel Corp.’s plans to make a big splash in the network fabric market for linking HPC and other workloads has apparently belly-flopped. The chipmaker confirmed to us the outlines of an earlier report by the website CRN that it has jettisoned plans for a second-generation version of its Omni-Path interconnect... Read more…

By Staff report

Kubernetes, Containers and HPC

September 19, 2019

Software containers and Kubernetes are important tools for building, deploying, running and managing modern enterprise applications at scale and delivering enterprise software faster and more reliably to the end user — while using resources more efficiently and reducing costs. Read more…

By Daniel Gruber, Burak Yenier and Wolfgang Gentzsch, UberCloud

Dell Ramps Up HPC Testing of AMD Rome Processors

October 21, 2019

Dell Technologies is wading deeper into the AMD-based systems market with a growing evaluation program for the latest Epyc (Rome) microprocessors from AMD. In a Read more…

By John Russell

Rise of NIH’s Biowulf Mirrors the Rise of Computational Biology

July 29, 2019

The story of NIH’s supercomputer Biowulf is fascinating, important, and in many ways representative of the transformation of life sciences and biomedical res Read more…

By John Russell

Xilinx vs. Intel: FPGA Market Leaders Launch Server Accelerator Cards

August 6, 2019

The two FPGA market leaders, Intel and Xilinx, both announced new accelerator cards this week designed to handle specialized, compute-intensive workloads and un Read more…

By Doug Black

Intel Debuts New GPU – Ponte Vecchio – and Outlines Aspirations for oneAPI

November 17, 2019

Intel today revealed a few more details about its forthcoming Xe line of GPUs – the top SKU is named Ponte Vecchio and will be used in Aurora, the first plann Read more…

By John Russell

When Dense Matrix Representations Beat Sparse

September 9, 2019

In our world filled with unintended consequences, it turns out that saving memory space to help deal with GPU limitations, knowing it introduces performance pen Read more…

By James Reinders

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This