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Conductor

Conductor. A Framework for Distributed, Type-checked Computing Matthew Kehrt. Distributed Computing. Today, people are dealing with larger and larger computational problems. Distributed Computing. Today, people are dealing with larger and larger computational problems

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Conductor

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  1. Conductor A Framework for Distributed, Type-checked Computing Matthew Kehrt

  2. Distributed Computing • Today, people are dealing with larger and larger computational problems

  3. Distributed Computing • Today, people are dealing with larger and larger computational problems • Scientific computations often analyze enormous amounts of data • Radio telescope data

  4. Distributed Computing • Today, people are dealing with larger and larger computational problems • Scientific computations often analyze enormous amounts of data • Radio telescope data • Some problems have large search spaces • Factoring • Password cracking

  5. Distributed Computation • A solution – split large computations across multiple computers

  6. Distributed Computation • A solution – split large computations across multiple computers • Some projects already do this • SETI@home • folding@home (protein folding) • evolution@home (genetics)

  7. Distributed Computation • A solution – split large computations across multiple computers • Some projects already do this • SETI@home • folding@home (protein folding) • evolution@home (genetics) • However, these examples are all for very specific problems

  8. Grid Computing • We want something more generic

  9. Grid Computing • We want something more generic • A general framework for distributing computation • A way of submitting work to a collection of machines

  10. Grid Computing • We want something more generic • A general framework for distributing computation • A way of submitting work to a collection of machines • We want a peer-to-peer network to distribute code

  11. Safety? • We want to run code on remote hosts

  12. Safety? • We want to run code on remote hosts • How do we guarantee code is benign? • Running code in a safe VM is expensive

  13. Safety? • We want to run code on remote hosts • How do we guarantee code is benign? • Running code in a safe VM is expensive • Native code is faster

  14. Safety? • We want to run code on remote hosts • How do we guarantee our code is benign? • Running code in a safe VM is expensive • Native code is faster • Can we do static checks for safety on code to run?

  15. TAL • Type systems can make static guarantees about program behavior

  16. TAL • Type systems can make static guarantees about program behavior • However, we want to send object code over the network

  17. TAL • Type systems can make static guarantees about program behavior • However, we want to send object code over the network • Reduces work that needs to be done at runtime • How about a typed assembly language which need be only linked?

  18. TAL • A good type system allows us to distribute guaranteed safe code

  19. TAL • A good type system allows us to distribute guaranteed safe code • Assembly language means little work needs to be done to prepare distributed code for running.

  20. The Conductor • Each machine on the grid runs a Conductor • The Conductor • Maintains a queue of work to be done • Locates peers through a gossip protocol • Queries known peers for others on the network • Downloads, checks and runs work • Returns results

  21. The Conductor • Allows for multiple safety policies (different type systems) selected by the user • Publishes code and results in a distributed hashtable • Caches results for quick recomputation • Is tolerant to machines joining and leaving the network

  22. Summer Goals • A network running on machines at CMU

  23. Summer Goals • A network running on machines at CMU • A larger network running on machines owned by the Pittsburgh public school system

  24. Summer Goals • A network running on machines at CMU • A larger network running on machines owned by the Pittsburgh public school system • Adding a new type system to the conductor (TAL Two, or TALT)

  25. Summer Goals • A network running on machines at CMU • A larger network running on machines owned by the Pittsburgh public school system • Adding a new type system to the conductor (TAL Two, or TALT) • Ability to merge two grids

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