Grid Computing

Ali YILDIRIMEmre UZUNCAKARA

Agenda What is Grid Computing Goals of Grid Computing Pros and Cons Examples Of Grid Systems Grid Softwares Application Suitability Example Researches Conclusion

What Is Grid Computing?

What is Grid Computing

Emerging computing model; that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution accross a parallel infra-structure.

What is Grid Computing

Heterogeneous and Distributed enviroment

It is NOT a cluster architecture!

Parts of Grid Computing

Infrastructure Grid: Hardware resources such as

processors, storage and network Applications Grid: Packaged or custom applications used

for business logic and process flow within application software

Goals of Grid Computing

Goals Of Grid Computing

Pervasive, uniform, and reliable access to data, storage capacity and computation power

Resource utilization Delivery of computer power as a

utility. (City Water, electricity systems)

Simple Grid Example

Sun Grid As Utility

Sun Grid as Utility

Pros and Cons of Grid Computing

Pros And Cons

PROS CONS

Time Saving Resource Management(Who is Prior?)

Resource Saving Security problem(Data is remote)

Space Saving Schedule Problem(Who , when?)

Money Saving

Examples of Grid Computing

Examples Of Grid Systems

Seti@Home is the most popular(1st). Climateprediction, Einstein@Home

etc. All uses BOINC software Over 18 projects working using BOINC

Seti@Home

Examples (Continued...)

Enterprise grids

Oracle grid Blade Servers Sun

Oracle uses grid Structure

Blade Servers

For power, heat and space savings Includes processors, memory,

network cards and storage

Grid Softwares

Grid Softwares

Globus Management Software

Java Technology : Custom programming

Globus Grid Management Software

Globus Grid Management Software

Product for managing grids Supported by many large vendors

GRAM Grid Resource Allocation Manager “gatekeeper” process that controls execution of

job managers MDS Monitoring and Directory Service

GRIS (Grid Resource Information Service) collects local info

GIIS (Grid Index Information Service) collects GRIS info

GASS (Global Access to Secondary Storage)

Java Technology

Java Technology RMI, Web Services and JNDI RMI : Remote Method Invocation Web Services : Software As Services,

Soap Packages over HTTP Orchestration of Services E-commerce, Online Community

Servers J2EE Application Servers > Load

Balancing, Fail Over mechanisms

Application Suitability

Application Suitability

For a grid system to perform applications must have some criteria.

Best Suitable > Large Batch jobs that requires minimum inter process communication and synchronization

Academic Researches

Academic Researches In 2004, Genaud : Algorithm for load

balancing. Allock Et. Al. : Data transfer problem

in high performance grid environments. (Replica management Service that uses an FTP-like protocol to make replicas of data elements accross the grid to improve performance)

Conclusion

Conclusion In summary, Grid computing is;

cooperation of different computers, for a specific task, so that the user acquires better performance for that specific task.

“The Load” is on remote machines rather than clients.

Like: Transfer of CPU power as electricity power.

References en.wikipedia.org/wiki/Grid_computing www.oracle.com/technologies/grid/index.html Web Services and Service Oriented Architectures: A

Savvy Manager’s Guide, Douglas K Barry, Elsevier Science, 2003.

Loosely Coupled: The Missing Pieces of Web Services, Doug Kaye, RDS Press, 2003.

Intel White Paper, Changing the IT Paradigm: Blade Server Computing, 2003

Allock B. Et al. Data management and transfer in high performance computational grid environments. Parallel Computing 28, 2002, pp 749-771

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