Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches

By Zhi-hui Zhan, Xiao Fang Liu, Yue-jiao Gong, Jun Zhang, Henry Shu-Hung Chung, Yun Li. ACM Computing Surveys, 2015

468 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/31ed78c75b8cf081b2b3dd5e80848df32425951c

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In Computer Networks and Communications

In Information Systems

Citations in the corpus

An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing (2018, methodology): “In particular, evolutionary computation (EC) algorithms [28] such as genetic algorithm (GA) [29] have been used to improve resource utilization and reduce energy consumption.”
Optimized IoT service placement in the fog (2017, background): “Apart from fog-specific resource provisioning solutions, resource provisioning and service placement are major research challenges in the general field of cloud computing [7,23,40].”
Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal (2017, background): “…2016) and one Questionnaire Survey (Schmidt, Möhring, et al. 2015), most of them (Shrouf, Ordieres, and Miragliotta 2014; Thoben et al. 2014; Zhan et al. 2015; Li et al. 2015; Janak and Hadas 2015; Leitao et al. 2015; Schmidt, Luder, et al. 2015; Shafiq et al. 2015; Sommer 2015; Wahl 2015;…”
Big Data and cloud computing: innovation opportunities and challenges (2017, background): “Zhan et al. (2015) proposed several research directions for cloud resource scheduling, including real-time, adaptive dynamic, large-scale, multi-objective, and distributed and parallel scheduling.”
A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “0 [24], [25], [28], [115], [117], [118], [120], a set of new paradigms has stemmed out, such as Control-aaS [25], [112], Industrial AutomationaaS [117], PLC-aaS [25], [112], and Machinery-aaS [112].”
Blockchain Meets Cloud Computing: A Survey (2020, methodology): “One of the methods of categorizing cloud resource allocation problems is on the basis of the “distance” from scheduling tasks to users [135].”
Predicting Cloud Resource Utilization (2016, background): “Resource provisioning and resource management are vivid fields of research in Cloud computing, resulting in a large number of according solutions [32].”
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 (2020, background): “is currently an open issue, requiring its own part of future research [166].”