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
fDate :
June 27 2014-July 2 2014
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;
Conference_Titel :
Big Data (BigData Congress), 2014 IEEE International Congress on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5056-0
DOI :
10.1109/BigData.Congress.2014.93