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GRID COMPUTING
DEFINITION
• Grid Computing is a type of distributed computing that
combines the resources of interconnected groups of
several independent computers that communicate
through the use of a network in a way that makes them
look and act like a single computing entity. Each
computing task is broken down into smaller pieces and
distributed throughout the available computing
resources for execution.
BENEFITS OF GRID COMPUTING
 Making use of underutilized Resources
 Resource Balancing
 Parallel CPU Capacity
 Management
 Access to additional resources
Reliability
VIRTUAL ORGANISATIONS
 Group of individuals or institutions
defined by sharing rules to share
the resources of “Grid” for a
common goal.e.g. Applications on
service providers, storage service
providers management team.
GRID ARCHITECTURE
FABRIC LAYER :-
• Fabric : Interfaces to local control
• Provides resources.
• Fabric components implement resource specific
operations
• Resources should implement Enquiry, resource
management mechanisms…
CONNECTIVITY LAYER :-
• Connectivity: Communicating Easily and Securely.
• Defines core communication and authentication protocols.
• Communication requirements: transport, routing, naming
• Authentication solutions :
• Single sign on, delegation, integration with various local
security solutions, user-based trust relationships.
RESOURCE LAYER :-
• Resource: Sharing Single Resources
• Defines protocols for secure negotiation, initiation,
monitoring, control, accounting, payment of sharing
operations on individual resources.
• Two primary classes of Resource layer protocols are
• Information protocols, Management protocols.
• Management protocol – “ policy application point”.
COLLECTIVE LAYER :-
• Collective: Coordinating Multiple Resources
• Defines protocols that capture interactions across collections of resources.
• Directory services – GRRP, GRIP
• Co-allocation, scheduling, brokering services – Condor-G, Nimrod-G, DRM broker.
• Monitoring and diagnostic
• Data Replication
• Grid enabled programming
• Workload management and collaboration frameworks
• Software discovery - NetSolve, Ninf
• Community authorization
• Community accounting and payment
• Collaboratory services – Access Grid.
APPLICATION LAYER :-
• Application: implement business logic over fabric,
connectivity, resources and collective layers
RELATIONSHIP WITH OTHERS
TECHNOLOGIES
DCE (Open Group) - inflexible
• DCE supports secure resource sharing across sites,
but inflexible.
•
WWW and Internet :-
• World Wide Web and Internet – support client
server interactions. Also Web browsers do not
support single sign_, delegation.
•
P2P Weak Security,
• P2P- Weak security, strong anonymity ( there is no
trace back if any intrusion detected)

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Grid computing 2 (1)

  • 2. DEFINITION • Grid Computing is a type of distributed computing that combines the resources of interconnected groups of several independent computers that communicate through the use of a network in a way that makes them look and act like a single computing entity. Each computing task is broken down into smaller pieces and distributed throughout the available computing resources for execution.
  • 3.
  • 4.
  • 5. BENEFITS OF GRID COMPUTING  Making use of underutilized Resources  Resource Balancing  Parallel CPU Capacity  Management  Access to additional resources Reliability
  • 7.  Group of individuals or institutions defined by sharing rules to share the resources of “Grid” for a common goal.e.g. Applications on service providers, storage service providers management team.
  • 8.
  • 10.
  • 11. FABRIC LAYER :- • Fabric : Interfaces to local control • Provides resources. • Fabric components implement resource specific operations • Resources should implement Enquiry, resource management mechanisms…
  • 12. CONNECTIVITY LAYER :- • Connectivity: Communicating Easily and Securely. • Defines core communication and authentication protocols. • Communication requirements: transport, routing, naming • Authentication solutions : • Single sign on, delegation, integration with various local security solutions, user-based trust relationships.
  • 13. RESOURCE LAYER :- • Resource: Sharing Single Resources • Defines protocols for secure negotiation, initiation, monitoring, control, accounting, payment of sharing operations on individual resources. • Two primary classes of Resource layer protocols are • Information protocols, Management protocols. • Management protocol – “ policy application point”.
  • 14. COLLECTIVE LAYER :- • Collective: Coordinating Multiple Resources • Defines protocols that capture interactions across collections of resources. • Directory services – GRRP, GRIP • Co-allocation, scheduling, brokering services – Condor-G, Nimrod-G, DRM broker. • Monitoring and diagnostic • Data Replication • Grid enabled programming • Workload management and collaboration frameworks • Software discovery - NetSolve, Ninf • Community authorization • Community accounting and payment • Collaboratory services – Access Grid.
  • 15. APPLICATION LAYER :- • Application: implement business logic over fabric, connectivity, resources and collective layers
  • 16.
  • 18. DCE (Open Group) - inflexible • DCE supports secure resource sharing across sites, but inflexible. •
  • 19. WWW and Internet :- • World Wide Web and Internet – support client server interactions. Also Web browsers do not support single sign_, delegation. •
  • 20. P2P Weak Security, • P2P- Weak security, strong anonymity ( there is no trace back if any intrusion detected)