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Tapestry on PlanetLab

Tapestry on PlanetLab. Deployment Experiences and Applications Ben Zhao, Ling Huang, Anthony Joseph, John Kubiatowicz. Our Experience. Tapestry on PlanetLab Deployed Java implementation on 67 nodes Large scale routing and location measurements 6-7 node instances per physical node

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Tapestry on PlanetLab

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  1. Tapestry on PlanetLab Deployment Experiences and Applications Ben Zhao, Ling Huang, Anthony Joseph, John Kubiatowicz

  2. Our Experience • Tapestry on PlanetLab • Deployed Java implementation on 67 nodes • Large scale routing and location measurements • 6-7 node instances per physical node • A wish list • Uniformity in network configuration • Isolation (bounded scheduling latencies) • Dynamically updated pair-wise distance map • Transparent file synchronization ravenben@eecs.berkeley.edu

  3. Our Goals • A persistent Tapestry on PlanetLab • Application platform with extensible P2P routing • Persistent on selection of distributed PlanetLab nodes • Global backbone for larger Tapestry • Dynamic integration via introduction service • Incremental upgrades via ordered node restarts • Practical utility services available to PL users • Application / service control via IM (Shuttle) • Quick and dirty file sharing (Interweave) • Distributed file system (OceanStore) ravenben@eecs.berkeley.edu

  4. Snapshot Measurements • Real Tapestry network of 400+ nodes • Measured routing and location RDP under load • Scheduling / contention artificially increases RDP • Routing RDP median: 2.5  1 • Location RDP median: 5  1 ravenben@eecs.berkeley.edu

  5. Infrastructure Services • Simple but useful utility applications • Shuttle: decentralized chat service • Persistent state replicated across network • Decentralized message routing via Tapestry • Graphical UI, w/ AIM-like functionality • command mode can be used as a wall / zephyr – like tool • Interweave: deterministic file sharing • Simple file sharing via object location • Metadata replicas distributed across network • Search (match) on primary fields, pruning via secondary fields • Locates nearby object replicas ravenben@eecs.berkeley.edu

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