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CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface

Wang, Frank Zhigang and Dimitrakos, Theo and Helian, Na and Wu, Sining and Li, Ling and Yates, Rodric (2014) CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface. In: 2014 IEEE International Congress on Big Data. IEEE, pp. 608-615. 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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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: Book section
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: Faculties > Sciences > School of Computing > Computing Education Group
Faculties > Sciences > School of Computing > Data Science
Depositing User: Caroline Li
Date Deposited: 17 Jul 2015 15:52 UTC
Last Modified: 07 Feb 2020 04:07 UTC
Resource URI: (The current URI for this page, for reference purposes)
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