EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments

By B. Li, Jianxin Li, J. Huai, Tianyu Wo, Qin Li, Liang Zhong. IEEE International Conference on Cloud Computing, 2009

366 citations recorded by the source corpus.

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DENS: data center energy-efficient network-aware scheduling (2010, background): “Keywords Network-aware scheduling · Energy-efficient · Data center · Cloud computing · Congestion”
A Survey on Mobile Edge Computing: The Communication Perspective (2017, background): “problems were also investigated in [161] and [162] for maximizing the energy savings of cloud servers and in [163] for different cloud scheduling strategies.”
A multi-objective ant colony system algorithm for virtual machine placement in cloud computing (2013, background): “Various heuristics [20–24] have been proposed for this problem.”
Resource Management in Clouds: Survey and Research Challenges (2015, background): “bin packing problem, as for example in [23, 140, 204].”
Cloud computing: state-of-the-art and research challenges (2010, background): “5% of the total energy generated in that year, and the percentage is projected to grow 18% annually [33].”
Energy-Aware Ant Colony Based Workload Placement in Clouds (2011, methodology): “, [4, 19]), (2) adapt simple greedy algorithms (e.”