Poly Hadoop CSC 550 April 26, 2007 Scott Griffin Daniel Jackson Alexander Sideropoulos Anton Snisarenko.

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Presentation transcript:

Poly Hadoop CSC 550 April 26, 2007 Scott Griffin Daniel Jackson Alexander Sideropoulos Anton Snisarenko

Grid Computing High Performance Computing Cluster Network of Resources CPUs, Applications, Data and Storage Common Interface

Map Reduce Google Map Function Reduce Function Examples Word Frequencies Hyperlink Source/Target Tree

Hadoop Open Source Java Framework Map/Reduce Paradigm Cluster Commodity Hardware HDFS

Our Project Setup Hadoop BladeCenter 10 Physical Nodes VMware: Grid of Virtual Nodes 1, 2, 4, 8 Virtual Nodes per Physical Node

Experimental Goals Feasibility Performance Ease of Deployment Limits

Large Dataset Netflix Prize: Movie/User/Rating Database Calculate Average Rating per User Map: For every rating, emit Reduce: Average every rating for a given user, emit

Related Work UCSB Hadoop on XEN University of Washington CSE 490 – Class projects in Hadoop

Timeline Week 5-6 Install/Configure Environment Develop Code Week 7-8 Run Experiments Week 9-10 Analyze Data Write Paper Present results

Questions?