Managing server energy and operational costs in hosting centers
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Infrastructure-Aware Autonomic Manager for Change Management
POLICY '07 Proceedings of the Eighth IEEE International Workshop on Policies for Distributed Systems and Networks
Cloud Computing: Does Nirvana Hide behind the Nebula?
IEEE Software
Power Control by Distribution Tree with Classified Power Capping in Cloud Computing
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Power Aware Meta Scheduler for Adaptive VM Provisioning in IaaS Cloud
International Journal of Cloud Applications and Computing
A Framework for Analysing the Impact of Cloud Computing on Local Government in the UK
International Journal of Cloud Applications and Computing
Cloud Computing in Local Government: From the Perspective of Four London Borough Councils
International Journal of Cloud Applications and Computing
Two levels autonomic resource management in virtualized IaaS
Future Generation Computer Systems
Toward Informed Resource Management in the Cloud
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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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.