University of Hertfordshire

By the same authors

CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

  • Frank Zhigang Wang
  • Theo Dimitrakos
  • Na Helian
  • Sining Wu
  • Ling Li
  • Rodric Yates
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Original languageEnglish
Title of host publication2014 IEEE International Congress on Big Data
PublisherIEEE
Pages608-606
Number of pages9
ISBN (Electronic)978-1-4799-5056-0
ISBN (Print)978-1-4799-5056-0
DOIs
Publication statusPublished - 25 Sep 2014
Event2014 IEEE International Congress on Big Data - Anchorage, United States
Duration: 27 Jun 20142 Jul 2014

Conference

Conference2014 IEEE International Congress on Big Data
Abbreviated titleBigData Congress
CountryUnited States
CityAnchorage
Period27/06/142/07/14

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