By Topic

Model of load balancing and scheduling 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
$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

5 Author(s)
Gytis Vilutis ; Dept. of Comput. Network, Kaunas Univ. of Technol., Kaunas, Lithuania ; Linas Daugirdas ; Rimantas Kavaliūnas ; Kristina Šutienė
more authors

While implementing Cloud based platforms it is complicated to determine the adequate quantity of resources in order to satisfy variable workload with peaks. Some projects are lost because of under provisioning of Cloud resources, as well as costly resources are wasted during nonpeak periods. It is known that not all projects must be processed on time, i.e. some of them may be postponed for a certain time. Within this context, it is presumed that postponement's opportunity can reduce the probability of projects not to be executed, at the same time to determine the lower quantity of own resources by taking into account minimal costs. Such strategy of workload balancing and projects scheduling is validated by the experiment.

Published in:

Information Technology Interfaces (ITI), Proceedings of the ITI 2012 34th International Conference on

Date of Conference:

25-28 June 2012