Heterogeneity aware dominant resource assistant heuristics for virtual machine consolidation

@article{Zhang2013HeterogeneityAD,
  title={Heterogeneity aware dominant resource assistant heuristics for virtual machine consolidation},
  author={Yan Zhang and Nirwan Ansari},
  journal={2013 IEEE Global Communications Conference (GLOBECOM)},
  year={2013},
  pages={1297-1302}
}
Power consumption is a critically important issue for data centers. Virtual machine (VM) consolidation is fundamentally employed to improve resource utilization and power optimization in modern data centers. In general, VM consolidation is formulated as a vector bin packing problem, which is a well-known NP-hard problem. Hence, heuristic algorithms, such as single dimensional heuristics (e.g., first fit decreasing (FFD)) and dimension-aware heuristics (e.g., DotProduct), are usually deployed in… CONTINUE READING