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.

中文翻译：

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云计算中的温度和能量感知整合算法

云计算可通过Internet访问共享资源。它为用户提供了诸如广泛访问，可伸缩性和成本节省等功能。但是，由于资源分配效率低下，云数据中心消耗大量能源。本文提出了一种基于能量和温度的新型虚拟机整合技术，以提高QoS（服务质量）。在本文中，提供了两种启发式算法和元启发式算法，分别称为HET-VC（基于启发式能量和温度的VM合并）和FET-VC（基于FireFly能量和温度的VM合并）。研究了所提出算法的六个参数：能效，迁移次数，违反SLA（服务水平协议），ESV，时间和空间复杂性。使用CloudSim模拟器，结果发现，使用我们提出的方法，HET-VC和FET-VC的能耗可以分别降低42％和54％。在HET-VC和FET-VC下，VM迁移数量分别减少了44％和52％。HET-VC和FET-VC可以分别将违反SLA的情况提高62％和64％。在HET-VC下，能源和SLA违规（ESV）改善了61％，在FET-VC下，改善了76％。