Skip to main content
Kent Academic Repository

CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface

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)

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)
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: 09 Dec 2022 01:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/49591 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.