Grid Computing
Ali YILDIRIM
Emre UZUNCAKARA
Agenda
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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?)
Security problem
(Data is remote)
Schedule Problem
(Who , when?)
Resource Saving
Space Saving
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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Thanks !!!
Danke Schön !!!
Bienvenue !!!
Teşekkürler !!!
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