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Data center architecture in cloud computing is a heterogeneous and distributed environment, made up of a cluster of physical machine (PM) networks or servers with different capacities of computing resources within their PM. Demand (demand) and availability (supply) conditions on the fluctuating cloud services make the cloud data center must be elastic. Virtual Machine (VM) is a representation of the availability of dynamic computing resources that can be allocated and relocated according to demand. VMs inside the cloud data center can be moved from one PM to another using live VM migration or offline VM migration. A dynamic and distributed cloud computing environment requires that the decisionmaking strategy in VM consolidation must be made as dynamic as possible or even adaptive by considering the heterogeneity of virtual resources in accordance with the cloud computing services presented. Thus, in this study it is proposed that energy efficiency while maintaining the performance of cloud computing services through workload balancing with VM migration techniques contained in the dynamic VM consolidation procedure. The decision making strategy in the proposed dynamic virtual machine consolidation procedure can improve the performance of cloud computing services while the physical Applied Technology and Computing Science Journal, Vol. 3, No. 1, June 2020 2 E-ISSN: 2621-4474, ISSN:2621-4458. machine workload becomes balanced because the decision of VM selection and VM placement on the physical machine are optimally selected through MADM. Energy consumption from physical machines can also be saved by turning it off because the status is idle.

Strategi Efisiensi Energi dan Penyeimbangan Beban Kerja Layanan Cloud Computing Melalui Konsolidasi Mesin Virtual Dinamis