Efficient Policies of Data Management in Cloud to Reduce Energy Consumption of Data Center
Djouhra Dad, Ghalem Belalem
Progress in Machines and Systems, Vol. 9, No. 1, 2020.
DOI: https://doi.org/10.6025/pms/2020/9/1/18-28
Link: http://www.dline.info/pms/fulltext/v9n1/pmsv9n1_4.pdf
Abstract:
Cloud computing has become over the last years an important paradigm in the computing landscape. Its principle is to provide decentralized services and allows client to consume resources on a pay-as you-go model. The growing demand for this type of service brings providers service clouds to increase the size of their infrastructure to the point that the energy consumption and associated costs become very important. This cloud infrastructure comprise several compoments such
as servers, cooling systems, etc. In the server of data center , CPU and RAM are the compoments which consumes an important quantity of energy. In this paper, we present three policies (FDT, DDT based on CPU utilization thresholds and DRT based on CPU utilization and RAM capacity) each one with two phases. The selection phase which is based on physical resources thresholds (one or two physical resources) and the allocation phase to place the migrated VM on hosts. We simulate the
proposed approaches on CloudSim simulator and compare them with existed approaches. Our proposal allows reducing energy consumption, number of migrations, the number of SLA violations and thus minimizing the CO2 emission.