Article ID Journal Published Year Pages File Type
424628 Future Generation Computer Systems 2013 15 Pages PDF
Abstract

The monitoring of QoS parameters in Services Computing as well as in Clouds has been a functionality provided by all contemporary systems. As the optimization of energy consumption becomes a major concern for system designers and administrators, it can be considered as another QoS metric to be monitored. In this paper, we present a service framework that allows us to monitor the energy consumption of a Cloud infrastructure, calculate its energy efficiency, and evaluate the gathered data in order to put in place an effective virtual machine (VM) management. In that context, a simulation scenario of an eco-driven VM placement policy resulted in a 14% improvement of the infrastructure’s energy efficiency. In total, the proposed approaches and implementations have been validated against a testbed, producing very promising results regarding the prospect of energy efficiency as an important quality factor in Clouds.

► Implementation of a multi-source monitoring mechanism for Cloud environments. ► Focus on the collection of energy related metrics from the physical infrastructure. ► Analysis of the energy efficiency at the level of node, infrastructure and service. ► Energy-aware Management of IaaS by applying a management policy for VM placement. ► The evaluation resulted in a sufficient forecast of energy efficiency.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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