Abstract
The continuously increasing cost of managing IT systems has led many companies to outsource their commercial services to external hosting centers. Cloud computing has emerged as one of the enabling technologies that allow such external hosting efficiently. Like any IT environment, a Cloud Computing environment requires high level of maintenance to be able to provide services to its customers. Replacing defective items (hardware/software), applying security patches, or upgrading firmware are just a few examples of the typical maintenance procedures needed in such environments. While taking resources down for maintenance, applying efficient change management techniques is a key factor to the success of the cloud. As energy has become a precious resource, research has been conducted towards devising protocols that minimize energy consumption in IT systems. In this paper, we propose a pro-active energy efficient technique for change management in cloud computing environments. We formulate the management problem into an optimization problem that aims at minimizing the total energy consumption of the cloud. Our proposed approach is pro-active in the sense that it takes prior SLA (Service Level Agreement) requests into account while determining time slots in which changes should take place.
Chapter PDF
Similar content being viewed by others
References
AbdelSalam, H., Maly, K., Mukkamala, R., Zubair, M.: Infrastructure-aware autonomic manager for change management. In: POLICY 2007: Proceedings of the Eighth IEEE International Workshop on Policies for Distributed Systems and Networks, Washington, DC, USA, pp. 66–69. IEEE Computer Society, Los Alamitos (2007)
AbdelSalam, H., Maly, K., Mukkamala, R., Zubair, M., Kaminsky, D.: Scheduling-capable autonomic manager for policy based it change management system. In: EDOC 2008: Proceedings of the 12th IEEE International Enterprise Computing Conference, München, Germany (September 2008)
Boss, G., Malladi, P., Quan, D., Legregni, L., Hall, H.: Cloud computing. In: High Performance On Demand Solutions (HiPODS) (October 2007)
Chen, Y., Das, A., Qin, W., Sivasubramaniam, A., Wang, Q., Gautam, N.: Managing server energy and operational costs in hosting centers. In: SIGMETRICS 2005: Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, pp. 303–314. ACM, New York (2005)
Erdogmus, H.: Cloud computing. IEEE Software 26(2), 4–6 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 IFIP International Federation for Information Processing
About this paper
Cite this paper
AbdelSalam, H., Maly, K., Mukkamala, R., Zubair, M., Kaminsky, D. (2009). Towards Energy Efficient Change Management in a Cloud Computing Environment. In: Sadre, R., Pras, A. (eds) Scalability of Networks and Services. AIMS 2009. Lecture Notes in Computer Science, vol 5637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02627-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-02627-0_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02626-3
Online ISBN: 978-3-642-02627-0
eBook Packages: Computer ScienceComputer Science (R0)