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Introduction of Apache Hama

Introduction of Apache Hama. Edward J. Yoon, October 11, 2011 <edwardyoon@apache.org>. About Me. Founder of Apache Hama. Committer of Apache Bigtop . Employee for KT. http://twitter.com/ eddieyoon. What Is Hama?. Apache Incubator Project.

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Introduction of Apache Hama

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  1. Introduction ofApache Hama Edward J. Yoon, October 11, 2011 <edwardyoon@apache.org>

  2. About Me • Founder of Apache Hama. • Committer of Apache Bigtop. • Employee for KT. • http://twitter.com/eddieyoon

  3. What Is Hama? • Apache Incubator Project. • BSP (Bulk Synchronous Parallel) for massive scientific computations. • Written In Java. • Currently 2 releases, 3 main committers.

  4. Hama Characteristics • Provides a Pure BSP model . • Job submission and management interface. • Multiple tasks per node. • Checkpoint recovery. • Supports to run in the Clouds using Apache Whirr. • Supports to run with Hadoop nextGen.

  5. Bulk Synchronous Parallel? • Parallel programming model introduced by Valiant. • Consist of a sequence of supersteps. • Conceptually simple and intuitive from a programming standpoint. • Used for a variety of applications e.g., scientific computing, genetic programming, …

  6. Schematic diagram of a superstep ………. Local Computation Idle ………. Communication Idle Barrier Synchronization

  7. Internals • Hadoop RPC is used for BSP tasks to communicate each other. • Collection and bundling of messages as a technique to reduce network overheads and contentions. • Zookeeper is used for Barrier Synchronization.

  8. Pi Calculation • Each task executes locally its portion of the loop a number of times. • One task acts as master and collects the results through the BSP communication interface.

  9. Structural Analysis of Network Traffic Flows • Traffic flows in KT clouds. • traffic engineering, anomaly detection, traffic forecasting and capacity planning • Currently BSP jobs are experimentally running on 512 multi-cores machines.

  10. Random Communication Benchmarks • Benchmarked on 16 1U servers using 10 tasks per server. • X axis is the time (sec.)of BSP job execution (32 supersteps). • Y axis is the number of messages to be sent to random BSP tasks in each superstep.

  11. What’s Next? • Support Input/Output Formatter like MapReduce. • Message Compression for High Performance. • Add some frameworks on top of Hama.

  12. More Information • http://incubator.apache.org/hama • http://wiki.apache.org/hama

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