DocumentCode
249456
Title
CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface
Author
Wang, Frank Z. ; Dimitrakos, Theo ; Helian, Na ; Sining Wu ; Ling Li ; Yates, Rodric
Author_Institution
Sch. of Comput., Univ. of Kent, Canterbury, UK
fYear
2014
fDate
June 27 2014-July 2 2014
Firstpage
608
Lastpage
615
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.
Keywords
Big Data; application program interfaces; cloud computing; protocols; CloudJet4BigData; IP based networks; POSIX-compatible applications; accelerated socket interface; big data accessing operations; big data resource sharing; big data streamlining; cloud platforms; data communication protocol; dynamic multistream-multipath engine; portable operating system interface; Aggregates; Bandwidth; Big data; Cloud computing; Protocols; Sockets; Throughput; Big Data; Cloud Computing; Cloud Storage; Portable Operating System Interface (POSIX); Protocols for networked storage systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data (BigData Congress), 2014 IEEE International Congress on
Conference_Location
Anchorage, AK
Print_ISBN
978-1-4799-5056-0
Type
conf
DOI
10.1109/BigData.Congress.2014.93
Filename
6906835
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