Energy and carbon efficient VM placement and migration technique for green cloud datacenters

Green Cloud Computing: A Literature Survey

“…For cloud users, replacing high-powered computers with low-powered devices will improve energy efficiency. Methods for reducing energy consumption might be simple techniques such as ensuring energy management for servers in the cloud, such as turning them on and off or putting them to sleep [68,79], or more complex techniques such as auto-scaling infrastructure to create greener computing environments [81] or the use of virtualization techniques for better resource management [29,40,43,45,61,78]. Green cloud computing development is influenced by green data center development.…”

“…Garg et al [52] proposed an architecture to reduce the carbon footprint across the entire cloud infrastructure in a unified manner, based on three parameters: CO 2 emission rate, the power efficiency of the data center (the fraction of total power dissipated that is used for information technology resources), and VM efficiency (the amount of power dissipated by a fully active VM running at maximum utilization level). In order to reduce carbon emissions, Wadhwa and Verma [68] proposed a technique for VM allocation and migration in two steps: first, the placement of the VM with a host having the minimum CO 2 emissions from the distribution of data centers and, second, optimization of VM allocation within each data center. Their technique is dedicated to a geographically distributed cloud.…”

Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: A review

“…They have shown that power consumption and CO 2 emission are relevance. More techniques and methodologies have been proposed based on virtualization [82] or assigning the resources according to queuing model [55] to reduce CO 2 emission and cutting down the power consumption. Combine some power management techniques such as changing the number of VMs or cores, and DVFS enabled Cloud providers to minimize power consumption as well as addressing the high operating costs and carbon footprint [77].…”

Energy-efficient Virtual Machine Allocation Technique Using Flower Pollination Algorithm in Cloud Datacenter: A Panacea to Green Computing

“…However, over the years, the high energy consumption of these cloud datacenters have become a major concern as a result of increasing demands of resources and services by enterprise and scientific applications. Due to the large number of equipment contained in datacenters, enamors amount of energy is consumed leading to huge carbon emission [5]. Therefore, the high energy consumption has become a great concern to researchers.…”