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Large Scale File Distribution Sequential Branching Distribution

Large Scale File Distribution Sequential Branching Distribution. Final Presentation Grad Operating Systems Presented by Chris Miller & Pramita Mitra Dec 13, 2006. Problem Statement. Research requires distribution of large datasets on distributed networks

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Large Scale File Distribution Sequential Branching Distribution

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  1. Large Scale File DistributionSequential Branching Distribution Final Presentation Grad Operating Systems Presented by Chris Miller & Pramita Mitra Dec 13, 2006

  2. Problem Statement • Research requires distribution of large datasets on distributed networks • Methods such as multicast are too complicated to implement reliably • Tools available for file distribution • Chirp • Parrot • Algorithm needed to efficiently schedule the distribution of files

  3. Solution • Using CCL storage pool as model of distributed network • Using small, measured steps to find what aspects of distribution work best in implementation • Sequential distribution • Parallel distribution Distributor Ineffiecient use of network resources. Total time for distribution O(n). Stage 1 … Stage n Stage 2 Distributor Node 1 Node 2 … Node n Total time for distribution O(n).

  4. Baseline Results

  5. Sequential Branching Distribution Nodeset Distributor Thirdput Thirdput Stage 2 Stage 1 Stage 3 Thirdput Stage 2 Stage 3 Stage 3 Stage 3 Total time for distribution O(log2 n)

  6. Best Neighbor Approximation

  7. Best Neighbor Approximation

  8. Probabilistic Weighted Average

  9. Best Neighbor Approximation

  10. Results

  11. Conclusions • A fast and reliable distribution method is possible with simple file transfer methods • Distribution system is fault tolerant for all nodes except distributor node • Latency measurement • moderate indicator of transfer rate • low overhead • Small file transfer approximation • strong indicator of transfer rate • high overhead • Performance is near O(log2 n)

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