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Co-allocated workloads in a virtualized computing environment often have to compete for resources, thereby suffering from performance interference. While this phenomenon has a direct impact on the Quality of Service provided to customers, it also changes the patterns of resource utilization and reduces the amount of work per Watt consumed. Unfortunately, there has been only limited research into how...
This paper introduces a dynamic resource provisioning mechanism for over allocating the capacity of Cloud data centers based on customer resource utilization patterns. The proposed mechanism reduces the impact on Real-Time constraints while improvements on the overall energy-efficiency are sought. The main idea is to exploit the resource utilization patterns of each customer for smartly under allocating...
Energy efficiency is becoming a very important concern for Cloud Computing environments. These are normally composed of large and power consuming data centers to provide the required elasticity and scalability to their customers. In this context, many efforts have been developed to balance the loads at host level. However, determining how to maximize the resources utilization at Virtual Machine (VM)...
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