logistical networking for energy sciences

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

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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. - PowerPoint PPT Presentation

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Page 1: Logistical Networking for Energy Sciences

Presented by

Logistical Networking for Energy Sciences

Scott KlaskyOak Ridge National Laboratory

Terry MooreThe University of Tennessee

Page 2: Logistical Networking for Energy Sciences

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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.

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Page 3: Logistical Networking for Energy Sciences

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Internet Backplane Protocol

Na

Allocate!

Capability

Depot

Nw

Store!DepotData

Nr

Load!Depot

Page 4: Logistical Networking for Energy Sciences

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Na

Copy!Capability

Depot

Depot

Nr

Compute!Depot

Internet Backplane Protocol

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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

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One infrastructure serves all

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!

VideoSatellite

Bioinformatics

Experimentaldevices

Medicalimaging

Simulation

~PByte/sec

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Fusion: Content distribution

Ewokcluster

Depots

NYU

PPPL

UCI

MIT

Portals

DirectoryserverJaguar

Cray XT4

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Fusion: Location independent I/O

NYU

PPPL

UCI

MIT

end user

Retrievemetadata

Retrieve data from best-performing depots

Directoryserver

2.

1.

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Page 9: Logistical Networking for Energy Sciences

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SRM interoperability

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Contacts

Micah BeckLogistical Computing and Internetworking (LoCI) Lab Computer Science Department University of Tennessee(865) [email protected]

Scott A. KlaskyScientific ComputingNational Center for Computational Sciences(865) [email protected]

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