By Topic

Towards Bio-inspired Cost Minimisation for Data-Intensive Service Provision

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Lijuan Wang ; Fac. of Inf., Univ. of Wollongong, Wollongong, NSW, Australia ; Jun Shen

The world is filled with an unimaginably vast amount of digital information which is getting even vaster and even growing more rapidly. The enormous new data is impacting every area of our society. The real strategic value of the data can determine what will happen and what can be discovered in the future. To better use the so called "Big Data", automatic business process or workflow is needed to process large quantity of data. Biological systems present fascinating features, such as autonomy, scalability, adaptability, and robustness. The bio-inspired concepts and mechanisms have been successfully applied to service oriented systems. In this study, by reviewing a number of studies which applied biological concepts and principles to solve problems of service provision, we proposed a bio-inspired cost minimisation mechanism for data-intensive service provision. It utilizes bio-inspired mechanisms to search and find the optimal data service solution considering cost of data management and service maintenance. The newly composed data-intensive service will be a timely contribution to "Big Data" research.

Published in:

Services Economics (SE), 2012 IEEE First International Conference on

Date of Conference:

24-29 June 2012