A network approach for managing and processing big cancer data in clouds

Jie, Wei (2015) A network approach for managing and processing big cancer data in clouds. Journal of Cluster Computing, Special Issue on Big Data Computing, 18 (3). pp. 1285-1294. ISSN 1386-7857

[img]
Preview
PDF
clustercomputing-2015.pdf - Accepted Version

Download (726kB) | Preview

Abstract

Translational cancer research requires integrative analysis of multiple levels of big cancer data to identify and treat cancer. In order to address the issues that data is decentralised, growing and continually being updated,
and the content living or archiving on different information sources partially overlaps creating redundancies as well as contradictions and inconsistencies,
we develop a data network model and technology for constructing and managing big omic data. To support our data network approach for data process and analysis, we employ a semantic content network approach and adopt the
CELAR cloud platform. The CELAR middleware functions can facilitate the management and manipulation of big omic data efficiently and cost-effectively by its automated data provisioning mechanism and its dynamical elastic resource allocation mechanism. The prototype implementation shows that the CELAR cloud can satisfy the on-demanding needs of various data resources for management and process of big cancer data.

Item Type: Article
Subjects: Computer science, knowledge and information systems
Depositing User: WEI JIE
Date Deposited: 07 Mar 2016 12:13
Last Modified: 01 Oct 2016 02:45
URI: http://repository.uwl.ac.uk/id/eprint/1730

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item

Menu