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Temperature and energy-aware consolidation algorithms in cloud computing
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DOI：10.1186/s13677-019-0136-9.png)
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摘要
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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.
Keyword:
Cloud computing
Consolidate virtual machines
Energy consumption
Meta-heuristic method
FireFly algorithm
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期刊
J
IF:
4.3
论文数:
756
被引数:
2.2K
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Enhancing Energy-Efficient and QoS Dynamic Virtual Machine Consolidation Method in Cloud Environment.png)
IEEE ACCESS
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IEEE ACCESSIF3.6
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