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An Architectural Approach to Managing Data in Transit

An Architectural Approach to Managing Data in Transit. Micah Beck Director & Associate Professor Logistical Computing and Internetworking Lab Computer Science Department University of Tennessee DOE Data Management Workshop 3/17/2004. “Data in Transit”.

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An Architectural Approach to Managing Data in Transit

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  1. An Architectural Approach to Managing Data in Transit Micah Beck Director & Associate Professor Logistical Computing and Internetworking Lab Computer Science Department University of Tennessee DOE Data Management Workshop 3/17/2004

  2. “Data in Transit” • After being generated by an instrument or supercomputer • Not stored in a permanent archive • Serving the diverse purposes of a community of users and applications • Being transferred, processed and stored to meet changing and unanticipated needs • Visualization • Data Mining • Collaboration • Distributed Computing

  3. Interoperability via a Common Interface • Span heterogeneous physical resources, operating systems, local management schemes • Serve changing and unexpected application requirements; enable application autonomy • We measure success in terms of infrastructuredeployment scalability • In networks and distributed systems, this means number, distribution, global reach, spanning administrative domains… • The Internet is the gold standard of infrastructure deployment scalability

  4. Layering as An Architectural Approach • Abstractions at each layer can hide differences at lower layers • Exposed approaches avoid creating overly complex mechanisms at lower layers • The E2E Principle: Attributes of lower layers implemented on shared infrastructure enable deployment scalability • Generality: Serve diverse application needs, model diverse lower layer resources • Weak semantics: Don’t give too much away at one time!

  5. The IP Network Stack Application Transport … common interface (IP) Network Link Physical

  6. IP’s Failure of Scalability • Today, IP is failing as a common interface • The design of IP is out of date • Application communities are more diverse • Link layer technologies violate IP assumptions • Application communities are defining their own common interfaces for general resource sharing, deploying their own infrastructure (e.g. the Grid) • Some networking communities have abandoned interoperability at the network layer between widely divergent link layer technologies (e.g. optical switching & IP)

  7. The Transit Layer: A New Location for Interoperability • Expand the link layer to a local layer to model transfer, storage and processing resources • Insert a new transit layer between the local and network layers to implement a common interface to diverse technologies at the local layer • Adopt a highly general common interface at the transit layer, providing a uniform view of all of the resources of the network node • Build diverse network services on top of this common interface to model diverse application requirements • “Locating Interoperability in the Network Stack”, Micah Beck & Terry Moore, UT-CS-04-520, Univ. of TN CS Dept Tech Rpt

  8. The Transit Network Stack Application Transport … Network common interface Transit Local Physical transfer storage processing

  9. Transit Networking: A Unified View “… memory locations … are just wires turned sideways in time” Dan Hillis, 1982,Why Computer Science is No Good

  10. Logistical Networking: An Overlay Implementation of the Transit Layer • Logistical Networking is an overlay implementation of transit layer functionality built on top of the IP network • The Internet Backplane Protocol is the common transit layer interface for Logistical Networking • Network nodes are IBP “depots” that run as user level processes, communicate using TCP/IP as well as other link and network layer protocols • Depots also serve storage and processing resources to Logistical Networking clients

  11. LN Tools and Deployment • The Logistical Runtime System (LoRS) is a set of tools based on IBP that enable users to take advantage of the resources of IBP depots • Logistical Distribution Network (LoDN) is a data directory, monitoring and management system • The Logistical Backbone is a Resources Discovery service and global experimental IBP testbed • Over 35 TB of storage available • Over 300 depots in 21 countries • Leverages the resources of PlanetLab • Additional depots deployed at ORNL & NERSC

  12. L-Bone: August 2003 (20TB)

  13. Example LN Applications • Astrophysics: Terascale Supernova Initiative (A. Mezzacappa, ORNL; J. Blondin, NCSU) • Management of massive datasets • Fusion Energy Research (S. Klasky, PPPL) • Streaming of simulation data during generation • Viewset-Based Visualization • Prestaging & caching of distant data • Content Distribution • Heroic data distribution problems (Linux ISOs) • Multimedia Networking • Creation, mgt & delivery of high value content

  14. LN Futures and Directions • Storage • Implementation of file system services • Moving data through firewalls at line speed • QoS in highly controlled environments • Networking • Interoperability at ultrascale • Advanced services (e.g. multicast) • Computation • Offloading visualization to IBP depots • Developing sets of operations to support application communities

  15. Thank you! mbeck@cs.utk.edu http://loci.cs.utk.edu

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