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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weikuan Yu Yandong Wang Xinyu Que |
| Copyright Year | 1990 |
| Abstract | Hadoop is a popular open source implementation of the MapReduce programming model for cloud computing. However, it faces a number of issues to achieve the best performance from the underlying systems. These include a serialization barrier that delays the reduce phase, repetitive merges, and disk accesses, and the lack of portability to different interconnects. To keep up with the increasing volume of data sets, Hadoop also requires efficient I/O capability from the underlying computer systems to process and analyze data. We describe Hadoop-A, an acceleration framework that optimizes Hadoop with plug-in components for fast data movement, overcoming the existing limitations. A novel network-levitated merge algorithm is introduced to merge data without repetition and disk access. In addition, a full pipeline is designed to overlap the shuffle, merge, and reduce phases. Our experimental results show that Hadoop-A significantly speeds up data movement in MapReduce and doubles the throughput of Hadoop. In addition, Hadoop-A significantly reduces disk accesses caused by intermediate data. |
| Sponsorship | IEEE Computer Society |
| Starting Page | 602 |
| Ending Page | 611 |
| Page Count | 10 |
| File Size | 1822288 |
| File Format | |
| ISSN | 10459219 |
| Volume Number | 25 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pipelines Protocols IP networks Servers Acceleration Data processing Algorithm design and analysis cloud computing Hadoop MapReduce network-levitated merge Hadoop acceleration |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computational Theory and Mathematics Hardware and Architecture |
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