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Experiences with MapReduce, an Abstraction for Large-Scale Computation Jeff Dean Google, Inc. 2 Outline • Overview of our computing environment • MapReduce – overview, examples – implementation details – usage stats • Implications for paralle
Experiences with MapReduce, an Abstraction for Large-Scale Computation Jeff Dean Google, Inc. 2 Outline • Overview of our computing environment • MapReduce – overview, examples – implementation details – usage stats • Implications for parallel program development 3 Problem: lots of data • Example: 20+ billion web pages x 20KB = 400+ terabytes • One computer can read 30-35 MB/sec from disk – ~four
JGroups - The JGroups Project
JGroups is a toolkit for reliable messaging. It can be used to create clusters whose nodes can send messages to each other. The main features include Cluster creation and deletion. Cluster nodes can be spread across LANs or WANs Joining and leaving of clusters Membership detection and notification about joined/left/crashed cluster nodes Detection and removal of crashed nodes Sending and receiving
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Implementing Master-Worker with Terracotta
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Dashboard - Oracle Coherence Knowledge Base
Manageability - Open Source Distributed Cache Solutions Written in Java
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