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Logistical Networking for Energy Sciences

Logistical Networking for Energy Sciences. Scott Klasky Oak Ridge National Laboratory Terry Moore The University of Tennessee. The Internet Backplane Protocol. A common service for state management in a shared network. A basis for asynchronous communication.

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Logistical Networking for Energy Sciences

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  1. Logistical Networking for Energy Sciences Scott Klasky Oak Ridge National Laboratory Terry Moore The University of Tennessee

  2. The Internet Backplane Protocol • A common service for state management in a shared network. • A basis for asynchronous communication. • Scalability comes from weak assumptions: • Maximum size and duration of allocation. • A highly generic, “best effort” service. • “A weak network version of malloc.” • Robust services are built on top in an end-to-end manner ! • The goal is scalability analogous to the Internet. 2 Beck_LNES_SC07

  3. Internet Backplane Protocol Allocate! Na Depot Capability Store! Nw Depot Data Load! Nr Depot

  4. Internet Backplane Protocol Capability Copy! Na Depot Depot Compute! Nr Depot

  5. Three kinds of files • Files stored locally (1) • Attached disk (direct, LAN or storage network) • Files represented as exNodes • exNodes stored locally (2) • exNodes stored in LoDN directory (3) LoDN/L-Store AppHost

  6. Logistical networking provides a “bits are bits” infrastructure • Standardize on what we have an adequate common model for • Storage/buffer management • Coarse-grained data transfer • Leave everything else to higher layers • End-to-end services: checksums, encryption, error encoding, etc. • Enable autonomy in wide area service creation: security, resource allocation, QoS guarantees… • Gain the benefits of interoperability today! Satellite Video Simulation Bioinformatics ~PByte/sec Experimental devices Medical imaging One infrastructure serves all

  7. Fusion: Content distribution Directoryserver Jaguar Cray XT4 NYU PPPL Ewok cluster MIT Portals UCI Depots

  8. Fusion: Location independent I/O Directoryserver 1. Retrievemetadata NYU PPPL end user MIT 2. Retrieve data from best-performing depots UCI 8 Beck_LNES_SC07

  9. SRM interoperability

  10. Contacts • Micah Beck Logistical Computing and Internetworking (LoCI) Lab Computer Science Department University of Tennessee • (865) 241-2650 • mbeck@ornl.gov • Scott A. Klasky • Scientific ComputingNational Center for Computational Sciences • (865) 241-9980 • klasky@ornl.gov 11 Beck_LNES_SC07

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