System Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

An Optimized Algorithm for Task Scheduling Based on Activity Based Costing in Cloud Computing

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
$31 $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

3 Author(s)
Qi Cao ; Int. Sch. of Software, Wuhan Univ., Wuhan, China ; Zhi-Bo Wei ; Wen-Mao Gong

In cloud computing, traditional way for task scheduling cannot measure the cost of cloud resources accurately by reason that each of the tasks on cloud systems is totally different between each other. There may be no relationship between the overhead application base and the way that different tasks cause overhead costs of resources in cloud systems. The traditional way for task scheduling cannot meet the cloud market well enough. This paper introduces an optimized algorithm for task scheduling based on ABC (activity based costing) in cloud computing and its implementation. Compared with the traditional methods of task scheduling, a new method with an optimized algorithm based on ABC algorithm was proposed in this paper.

Published in:

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Date of Conference:

11-13 June 2009