@InProceedings{Prodan2019, author = {Radu Prodan and Ennio Torre and Juan J. Durillo and Gagangeet Singh Aujla and Neeraj Kummar and Hamid Mohammadi Fard and Shajulin Benedikt}, booktitle = {2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)}, title = {{Dynamic Multi-objective Virtual Machine Placement in Cloud Data Centers}}, year = {2019}, month = {aug}, pages = {92--99}, publisher = {IEEE}, abstract = {Minimizing the resource wastage reduces the energy cost of operating a data center, but may also lead to a considerably high resource overcommitment affecting the Quality of Service (QoS) of the running applications. Determining the effective tradeoff between resource wastage and overcommitment is a challenging task in virtualized Cloud data centers and depends on how Virtual Machines (VMs) are allocated to physical resources. In this paper, we propose a multi-objective framework for dynamic placement of VMs exploiting live-migration mechanisms which simultaneously optimize the resource wastage, overcommitment ratio and migration cost. The optimization algorithm is based on a novel evolutionary meta-heuristic using an island population model underneath. We implemented and validated our method based on an enhanced version of a well-known simulator. The results demonstrate that our approach outperforms other related approaches by reducing up to 57% migrations energy consumption while achieving different energy and QoS goals.}, doi = {10.1109/seaa.2019.00023}, keywords = {Cloud computing, Energy efficiency, Multi objective optimization, Virtual machine placement}, url = {https://ieeexplore.ieee.org/document/8906523} }