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Enabling Cost-Efficient Software Service Distribution in Infrastructure Clouds at Run Time

Key:LMH+11
Author:Ulrich Lampe, Thorsten Mayer, Johannes Hiemer, Dieter Schuller, Ralf Steinmetz
Date:December 2011
Kind:In proceedings - use for conference & workshop papers
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Organization:Institute of Electrical and Electronics Engineers (IEEE)
Address:Red Hook, NY, USA
Book title:Proceedings of the 2011 IEEE International Conference on Service Oriented Computing & Applications (SOCA 2011)
Editor:Kwei Jay-Lin and Christian Huemer and M. Brian Blake and Boualem Benatallah
Pages:1-8
ISBN:978-1-4673-0318-7
Language:english
Keywords:cloud computing, infrastructure as a service, service distribution
Number of characters:36835
Research Area(s):IT Architectures
Abstract:Because Infrastructure as a Service in the form of virtual machines only provides a limited supply of resources per discrete instance, approaches are required to compute cost-efficient distribution strategies for Software as a Service instances. Due to its computational complexity, this Software Service Distribution Problem is difficult to address at run time where time constraints apply. In the work at hand, we propose a Knapsack-based heuristic approach; an extensive evaluation, based on data from actual cloud systems and software services, shows that the heuristic is able to solve the problem with more than 99.7% reduction in computation time and only marginal degradation in solution quality compared to a locally optimal approach. Thus, through the minimization of infrastructure leasing costs, our proposed approach enables Software as a Service providers to achieve higher profit margins or more competitive pricing of their services in the market.
URL:ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6166205
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