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Implementation of Google's Pregel Paper, including Single Source Shortest and PageRank

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ECE428 - MP4

This is our implementation of a distributed graph processing engine.

How to Start

  • Clone the repo using git clone
  • cd into the scripts folder
  • You can run the server by typing ./update.sh

Description

This program will create a network of nodes and handle failure detectors. The failure detection will be spread across all nodes in the network quickly and everyone should be updated quickly on the status of the entire network using the gossiping algorithm and membership lists.

This system also implements a distributed file system which can handle up to 2 failures. Replication is done to ensure files are reachable even if nodes fail and we have a group of masters to ensure that coordination can still be done even if master nodes fail.

The system has a distributed graph processing engine which can take in general graphs and process some computation on them. For example, you can run:

  • sssp <filename> <source_vertex>
  • pagerank <filename>

The first example runs single-source shortest path on a graph, and the second command runs the pagerank algorithm.

Authors

  • Rahul Surti
  • Shashank Saxena

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Implementation of Google's Pregel Paper, including Single Source Shortest and PageRank

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