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GSAF: A Grid-based Services Transfer F ramework

GSAF: A Grid-based Services Transfer F ramework. Chunyan Miao, Wang Wei, Zhiqi Shen, Tan Tin Wee. Motivation. Grid provides an integrated computing environment, f acilitating maintenance and control of information and other kinds of resources e.g. services. However,

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GSAF: A Grid-based Services Transfer F ramework

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  1. GSAF: A Grid-based Services Transfer Framework Chunyan Miao, Wang Wei, Zhiqi Shen, Tan Tin Wee

  2. Motivation • Grid provides an integrated computing environment, facilitating maintenance and control of information and other kinds of resources e.g. services. • However, • Existing services are still tied with definite containers. • When new services are deployed,they come to function only after container is restarted.

  3. Objective • Execute services dynamicallyto break the tight coupling between services and computers

  4. Grid Resource Allocation • Grid resource allocation has attracted a lot of attention in recent years: • Globus focuses on providing uniform and scalable mechanisms for namingand locating computational and communication resources on remote systems. • GRASP [1] supports some features for user-friendly resource allocationsuch as resource brokering, scheduling, monitoring, and so forth. • Nassif et al. [2] presented a Multi-Agent System that chooses the best place to run a grid job by making use of negotiation.

  5. GSAF • Existing work mainly focuses on how to find, locate, select and schedule existing static services. • GSAF (A Grid-based ServicesAllocation Framework) is proposed to: • dynamically extend and adjust computing ability ofnodes in grid systems. • balance the total weight by fully utilizing free oridle computing resources. • and provide a form of resource management to improve the flexibility of Systems

  6. GSAF—Resource View • Service components viewed as explicitly manageable resources • GSAF partitions resources into: • Service Components Repository (SCR): logical pool gathering all the available service components • Computing Nodes Repository (CNR): hardware pool gathering available computers • Data Sources Repository (DSR): logical pool gathering all the data related to service components.

  7. GSAF—R-language • R-language: a resource-oriented workflow description language • Three logical elements • Action: a definite resource processing behavior • Scenario: a finite series of actions • Task: scenario which has definite and meaningful purpose according to userrequest.A task is basically a running script

  8. GSAF Architecture • Computers are categorized into two different kinds of nodes: • central nodes: responsible for central management and scheduling such as resource managing and task scheduling • and computing nodes: contribute computingability to run services, i.e. the resources in CNR • Each node is controlled by an agent. The whole system is thus a multi-agent system (MAS).

  9. GSAF Architecture (cont’d) • Architecture of Central Node Agent

  10. GSAF Architecture (cont’d) • Architecture of Computing Node Agent

  11. GSAF Architecture (cont’d)

  12. GSAF Strategies • Use service cacheto deal with the service components swapping: a distinct feature of GSAF. • LRU (Least Recently Used): The least recently used service component in buffer is recorded. If replacement is needed, swat it out. • NRU (Not Recently Used): The service component which hasn't been used in a certain period is recorded. If replacement is needed, swat it out. • FIFO (First-In First-Out): The service components are organized in a queue according to the order of arrival. If replacement is needed, swat out the service at the head of queue.

  13. GSAF—Strategies (cont’d) • Although the best solution is to select the most powerful computer, it may not be practical in real use because of the changings on-the-fly, for example the CPUusage. • A heuristic selection strategy is used in GSAF, namely, weighted ranking.

  14. Prototype • An application of GSAFis implemented in the field of bio data mining system. • Use Globus Toolkit 3.2to provide grid environment. • The modules of central node andcomputing node are implemented as grid services in Java supported byGlobus grid service container.

  15. Conclusion • GSAF is proposed to dynamically allocate services • Swap and execute services dynamicallyto break the tight coupling between services and computers. • All the resources are categorized and managed in corresponding repository. • Dynamic binding among different kinds of resourcesprovides a flexible pattern to execute services • On going and Future work: • Applications ofGSAF to Bio Applications. • Mobile Service Flow on WWW • Trusted Service Grid

  16. Thank You!

  17. References • [1] OGSA(Open Grid Services Architecture) Documents:http://www.globus.org/ogsa • [2] Globus: Research in Resource Management, http://www.globus.org/research/ • [3] L. Nassif, J. M. Nogueira, M. Ahmed, R. Impey, A. Karmouch. Agent-based Negotiation for Resource Allocation in Grid. Workshop on Computational Grids andApplications, 2005 • [4] R. Parra-Hernandez, D. Vanderster and N. J. Dimopoulos. Resource Managementand Knapsack Formulations on the Grid. IEEE/ACM International Workshop onGrid Computing (GRID'04), 2004

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