CloudJet4BigData: Streamlining Big Data via an accelerated socket interface

Wang, Frank Z. 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: IEEE Big Data, June 27 - July 2, 2014, Alaska, USA. (doi:https://doi.org/10.1109/BigData.Congress.2014.93) (Full text available)

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)
Uncontrolled keywords: Big Data, Cloud Computing, Cloud Storage, Protocols for networked storage systems, Portable Operating System Interface (POSIX)
Subjects: Q Science
Q Science > QA Mathematics (inc Computing science)
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Frank Wang
Date Deposited: 12 Aug 2014 13:15 UTC
Last Modified: 31 Mar 2017 13:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/42264 (The current URI for this page, for reference purposes)
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