University of Hertfordshire

By the same authors

Data Interface All-iN-A-Place (DIANA) for Big Data

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

Documents

  • Frank Zhigang Wang
  • Theo Dimitrakos
  • Na Helian
  • Sining Wu
  • Yuhui Deng
  • Ling Li
  • Rodric Yates
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Original languageEnglish
Title of host publicationTrust, Security and Privacy in Computing and Communications (TrustCom), 2014 IEEE 13th International Conference on
PublisherIEEE
Pages665-672
Number of pages7
ISBN (Electronic)978-1-4799-6513-7
ISBN (Print)978-1-4799-6513-7
DOIs
Publication statusPublished - Sep 2014
Event2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications - Beijing, China
Duration: 24 Sep 201426 Sep 2014

Conference

Conference2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications
Abbreviated titleTrustCom
CountryChina
CityBeijing
Period24/09/1426/09/14

Abstract

Variety in Big Data means we have a wide range of data types and sources: e.g. File systems and database systems co-exist for decades as two popular data-accessing interfaces. This work is to unify these two interfaces by presenting a Data Interface All-iN-A-place (DIANA). The first challenge lies in distinguishing structured and un-structured data and diverting them to different underlying platforms. It is demonstrated that a speedup of 5000 in indexing has been achieved at the expense of a slowdown of 100 in extracting attributes. A DIANA-based cloud storage system is constructed for versatile, long distance and large volume big data accessing operations to address "Volume" and "Velocity" in Big Data. It encapsulates a dynamic multi-stream/multi-path engine at the socket level, which conforms to Portable Operating System Interface (POSIX).

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