Wang, Frank Zhigang, Dimitrakos, Theo, Helian, Na, Wu, Sining, Li, Ling, Yates, Rodric (2014) CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface. In: Big Data (BigData Congress), 2014 IEEE International Congress on. Big Data (BigData Congress), 2014 IEEE International Congress on. . pp. 608-615. IEEE ISBN 978-1-4799-5056-0. E-ISBN 978-1-4799-5057-7. (doi:10.1109/BigData.Congress.2014.93) (KAR id:49591)
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Official URL: http://dx.doi.org/10.1109/BigData.Congress.2014.93 |
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.
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.1109/BigData.Congress.2014.93 |
Uncontrolled keywords: | sockets; bandwidth; cloud computing; big data; protocols; aggregates; throughput |
Subjects: |
Q Science T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Caroline Li |
Date Deposited: | 17 Jul 2015 15:52 UTC |
Last Modified: | 05 Nov 2024 10:34 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/49591 (The current URI for this page, for reference purposes) |
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