Abstract |
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With an increasing amount of businesses shifting their point of operations from in-house applications to cloud solutions, the burden on cloud infrastructure is ever increasing. In this paper, I will discuss about ways to accentuate the efficiency of IaaS infrastructure resources like storage, network, computing (CPU cycles and GPU), time, applications, services, et cetera in terms of the energy consumption they utilize. By leveraging power with performance, an analysis of cloud applications will be done per the energy consumption while maximizing QoS constraints and minimize energy. We will discuss about a VM Scheduling algorithm which leverages resource utilization, availability and energy consumption. With the major goal of achieving energy efficiency which will not only lead to minimizing greenhouse gases but also achieving cost-efficient resource utilization, I will detail current industry
practices and highlight possible solutions and their repercussions if they were brought in to cloud computing environment. |