Abstract
IT service providers, employ server virtualization as a main building block to improve system utilization, improve system manageability, reduce operational costs which includes energy consumption driving economies of scale with shared resources. Virtualization enables co-locating and efficient assignments of virtual servers within the bounds of limited number of heterogeneous physical servers, with Virtual Machines (VM) sharing the limited physical server resources between them. Though virtualization technologies point to the fact that each virtual server has its very own isolated environment, but in reality, perfect isolation is not possible. Primary measure to achieve assignment efficiency is to ensure that system resources are utilized effectively and performance of VM (and application workloads) is consistent within the desired bounds. Interference or contention on the limited shared resources among VMs leads to performance degradation and is referred to as performance interference. This affects (a) application Quality of Service (QOS) and (b) server cluster or data centers’ energy-efficiency. In this work, we analyze the performance degradation using (a) energy efficiency heterogeneity measure and (b) interference aware measure, with the aim to reduce energy consumption in our environment. Experimental results on different scenarios with our energy efficiency and interference aware approach shows a reduction in energy consumption to the tune of 8 to 58% and 10× improvement in per request average response time in contrast to a default energy efficiency and interference oblivious approach.
Highlights
Main goal of a server cluster environment or Data Centers’ (DC) is to satisfy resource needs like processing, storage, memory, network resource capacities from an users’ perspective; and be financially viable from Data Center Owners’ (DCO) perspective
Experimental results on different scenarios with our energy efficiency and interference aware approach shows a reduction in energy consumption to the tune of 8 to 58% and 10× improvement in per request average response time in contrast to a default energy efficiency and interference oblivious approach
Economic benefits from server virtualization come from higher resource utilization, reduced maintenance and operational costs including energy consumption
Summary
Main goal of a server cluster environment or Data Centers’ (DC) is to satisfy resource needs like processing, storage, memory, network resource capacities from an users’ perspective; and be financially viable from Data Center Owners’ (DCO) perspective. DCOs employ server virtualization as one of the building block to increase cost effectiveness. Economic benefits from server virtualization come from higher resource utilization, reduced maintenance and operational costs including energy consumption. The electricity consumption cost of servers in data centers will be more than the hardware cost and has become a major contributor to Total Cost of Ownership (TCO). Power consumption is one of the major concern that a DCO need to reduce. Data center power consumption has increased 400% over the last decade (Qian and Medhi, 2011). From DC owners’ perspective, it is very important to answer the following question: “How to satisfy user needs (performance criteria) and still minimize power consumption
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