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SPHINX: A Scheduling Middleware

SPHINX: A Scheduling Middleware. University of Florida Jang-uk In. SPHINX Features (Cont.). Grid information utilization Execution time estimation Various performance on heterogeneous resources Resource description Characterize resources with specific property information Usage policies

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SPHINX: A Scheduling Middleware

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  1. SPHINX: A Scheduling Middleware University of Florida Jang-uk In

  2. SPHINX Features (Cont.) • Grid information utilization • Execution time estimation • Various performance on heterogeneous resources • Resource description • Characterize resources with specific property information • Usage policies • Resource usage constraints in job execution

  3. SPHINX Features (Cont.) • Grid information utilization • Grid weather • Monitoring dynamically changed load and availability • Replica management • Discovering available replica for job planning • Global job descriptions • Balancing between local optimization and overall efficiency

  4. SPHINX Features (Cont.) • System information utilization • Distributed, fault-tolerant scheduling • Avoid a single point of failure • Customizability • Flexible system for particular scheduling requirements of VO’s • Extensibility • Hierarchical architecture of a grid for scheduling

  5. SPHINX Features (Cont.) • System information utilization • Interoperability with other systems • Interaction with other modules in a scheduling package • Interaction with other planning systems (Editors) • Quality of service • Allowing privileged usage of resources • Classified usage of Grid resources

  6. SPHINX Scheduling Client • Interact with request submitter • Abstract DAG produced by a workflow planner • Chimera virtual data system • Message passing using Clarens • To replace the current XML-RPC protocol

  7. SPHINX Scheduling Client (Cont.) • Job submission • Submitting jobs to grid resources using Condor-G etc. • Job tracking • Monitoring job execution status • Flexibility to relocate/replace modules • Job tracking can be located in the server • Independent modulated development

  8. SPHINX Scheduling Server • Control process • Management of scheduling components for processing stateful entities (jobs and DAG’s) • Message interface • Abstraction layer • Maintenance of currently connected clients

  9. SPHINX Scheduling Server (Cont.) • DAG reducer • DAG pruning by checking the existence of intermediate and/or final output data • Prediction engine • Estimated resource usage requirement • Estimated execution time

  10. SPHINX Scheduling Server (Cont.) • Execution planner • Resource allocation to jobs • Execution location and time assignment • Scheduling strategies • Policy based scheduling • Data availability, etc. • Data replication • Hot spot management

  11. SPHINX Scheduling Server (Cont.) • Grid monitoring interface • Interface to external monitoring services (MDS, GEMS, MonALISA) • Scheduling databases • Communication interface of scheduling modules • External • Transformation catalog • Replica catalog • Internal sphinx database

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