Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Frank Zhigang Wang
- Theo Dimitrakos
- Na Helian
- Sining Wu
- Ling Li
- Rodric Yates
| Original language | English |
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| Title of host publication | 2014 IEEE International Congress on Big Data |
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| Publisher | IEEE |
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| Pages | 608-606 |
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| Number of pages | 9 |
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| ISBN (Electronic) | 978-1-4799-5056-0 |
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| ISBN (Print) | 978-1-4799-5056-0 |
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| DOIs | |
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| Publication status | Published - 25 Sep 2014 |
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| Event | 2014 IEEE International Congress on Big Data - Anchorage, United States
Duration: 27 Jun 2014 → 2 Jul 2014 |
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| Conference | 2014 IEEE International Congress on Big Data |
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| Abbreviated title | BigData Congress |
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| Country/Territory | United States |
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| City | Anchorage |
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| Period | 27/06/14 → 2/07/14 |
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Abstract
Big data needs to feed users with fresh processing results and cloud platforms can be used to speed up big data applications. This paper describes a new data communication protocol (CloudJet) for long distance and large volume big data accessing operations to alleviate the large latencies encountered in sharing big data resources in the clouds. It encapsulates a dynamic multi-stream/multi-path engine at the socket level, which conforms to Portable Operating System Interface (POSIX) and thereby can accelerate any POSIX-compatible applications across IP based networks. It was demonstrated that CloudJet accelerates typical big data applications such as very large database (VLDB), data mining, media streaming and office applications by up to tenfold in real-world tests.
ID: 10592096