Abstract
Cloud computing provides access to shared resources through Internet. It provides facilities such as broad access, scalability and cost savings for users. However, cloud data centers consume a significant amount of energy because of inefficient resources allocation. In this paper, a novel virtual machine consolidation technique is presented based on energy and temperature in order to improve QoS (Quality of Service). In this paper, two heuristic and meta-heuristic algorithms are provided called HET-VC (Heuristic Energy and Temperature aware based VM consolidation) and FET-VC (FireFly Energy and Temperature aware based VM Consolidation). Six parameters are investigated for the proposed algorithms: energy efficiency, number of migrations, SLA (Service Level Agreement) violation, ESV, time and space complexities. Using the CloudSim simulator, it is found that energy consumption can be alleviated 42% and 54% in HET-VC and FET-VC, respectively using our proposed methods. The number of VM migrations is reduced by 44% and 52% under HET-VC and FET-VC, respectively. The HET-VC and FET-VC can improve SLA violation by 62% and 64%, respectively. The Energy and SLA Violations (ESV) are improved by 61% under HET-VC and by 76% under FET-VC.
Highlights
Today cloud computing is an important extensible computing method in information technology
The temperature of a server may be higher than Thresholdtemperature in some optimal utilizations (“https://www.spec.org/ power_ssj2008/results/,”), where the CPU and memory utilization could be low. This situation leads to additional Virtual Machine (VM) migrations causing an increase in CPU overhead and energy consumption
By migrating all the VMs running on the server and switching it to the sleep mode, energy consumption can be reduced
Summary
Today cloud computing is an important extensible computing method in information technology. In cloud computing, virtualized resources are often provided as processing services through communication networks. The basis of giving services to a customer is to provide on-demand resources based on pay-as-you-go without requiring any especial equipment by the customer or being aware of the location of these processors [1, 2]. The main purpose of cloud computing is to attain a huge amount of virtualization computing resources. Cloud computing has significant benefits, especially for IT industry, mainly reducing cost, providing scalability tailored to the needs of customers’ service requirements, Data centers waste energy due to the inefficiency of hardware resources such as shortage and inadequacy of cooling system [8], network equipment [9], servers [10].
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