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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kontagora, M. Gonzalez-Velez, H. |
| Copyright Year | 2010 |
| Abstract | This work analyses the performance of Hadoop, an implementation of the MapReduce programming model for distributed parallel computing, executing on a virtualisation environment comprised of 1+16 nodes running the VMWare workstation software. A set of experiments using the standard Hadoop benchmarks has been designed in order to determine whether or not significant reductions in the execution time of computations are experienced using Hadoop on this virtualisation platform on a local area network. Our findings indicate that a significant decrease in computing times is observed under these conditions. They also highlight how overheads and virtualisation in a distributed environment hinder the possibility of achieving the maximum (peak) performance. |
| Starting Page | 433 |
| Ending Page | 438 |
| File Size | 545133 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424459179 |
| e-ISBN | 9781424459186 |
| DOI | 10.1109/CISIS.2010.45 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-02-15 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software performance Virtual machining Algorithmic Skeletons Structured Parallelism Server Virtualization Master Worker Distributed computing MapReduce Concurrent computing Parallel programming Operating systems Parallel processing Hardware Workstations Functional programming Task Farm Parallel Programming |
| Content Type | Text |
| Resource Type | Article |
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