By Topic

An Adaptive Load Balancing Algorithm in Object-Based Storage Systems

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)
Ling-jun Qin ; Key Laboratory of Data Storage Systems, Ministry of Education of China. E-MAIL: ; Dan Feng

Load balancing is a key issue in large-scale object-based storage systems. Many data replication and migration algorithms have been proposed for load balancing in distributed systems. However, the two operations, data replication and migration, are studied separately. An adaptive load balancing algorithm is presented in this paper, which combines replication and migration in a uniform model. Furthermore, this algorithm uses a hybrid load metric which reflects short-term and long-term load status. To solve the online problem with a changing workload, the algorithm employs an adaptive mechanism to keep track of the characteristics of workloads. The simulation results show that the algorithm with object replication and migration can markedly reduce the overall response time

Published in:

2006 International Conference on Machine Learning and Cybernetics

Date of Conference:

13-16 Aug. 2006