Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge
Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge
复制标题
可持续、可靠云计算的整体资源管理:应对全球挑战的创新解决方案
DOI:
10.1016/j.jss.2019.05.025
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发表时间:
2019
影响因子:
3.5
通讯作者:
Gill S
中科院分区:
文献类型:
--
作者:
Gill S
Minimizing the energy consumption of servers within cloud computing systems is of upmost importance to cloud providers toward reducing operational costs and enhancing service sustainability by consolidating services onto fewer active servers. Moreover, providers must also provision high levels of availability and reliability, hence cloud services are frequently replicated across servers that subsequently increases server energy consumption and resource overhead. These two objectives can present a potential conflict within cloud resource management decision making that must balance between service consolidation and replication to minimize energy consumption whilst maximizing server availability and reliability, respectively. In this paper, we propose a cuckoo optimization-based energy-reliability aware resource scheduling technique (CRUZE) for holistic management of cloud computing resources including servers, networks, storage, and cooling systems. CRUZE clusters and executes heterogeneous workloads on provisioned cloud resources and enhances the energy-efficiency and reduces the carbon footprint in datacenters without adversely affecting cloud service reliability. We evaluate the effectiveness of CRUZE against existing state-of-the-art solutions using the CloudSim toolkit. Results indicate that our proposed technique is capable of reducing energy consumption by 20.1% whilst improving reliability and CPU utilization by 17.1% and 15.7% respectively without affecting other Quality of Service parameters.
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影响因子:
2
作者:
Sukhpal Singh;Inderveer Chana
通讯作者:
Inderveer Chana
DOI:
10.1016/j.future.2017.07.044
发表时间:
2018
期刊:
Future Gener. Comput. Syst.
影响因子:
--
作者:
Xiang Li;Xiaohong Jiang;Peter Garraghan;Zhaohui Wu
通讯作者:
Xiang Li;Xiaohong Jiang;Peter Garraghan;Zhaohui Wu
DOI:
10.1109/tpds.2017.2688445
发表时间:
2018-06
影响因子:
5.3
作者:
Xiang Li;Peter Garraghan;Xiaohong Jiang;Zhaohui Wu;Jie Xu
通讯作者:
Xiang Li;Peter Garraghan;Xiaohong Jiang;Zhaohui Wu;Jie Xu
影响因子:
5.9
作者:
Peter Garraghan;Ismael Solís Moreno;P. Townend;Jie Xu
通讯作者:
Peter Garraghan;Ismael Solís Moreno;P. Townend;Jie Xu
DOI:
--
发表时间:
2016
期刊:
IEEE International Conference on Software Quality, Reliability and Security Companion
影响因子:
--
作者:
Liang Luo;Hongwei Li;Xiwei Qiu;Yangyang Tang
通讯作者:
Yangyang Tang