Abstract
Cloud data centers have become indispensable infrastructure for computing and data storage that facilitate the development of diversified services offered by the cloud. These data centers consume enormous amounts of electrical energy to process the cloud services resulting in large amount of CO2 emissions, high operational cost, and affecting the lifetime of hardware equipments. This necessitates the development of efficient energy management techniques in cloud data centers for both economic and environmental standpoints. Energy management at data centers can be static or dynamic. Energy consumption can be reduced by employing dynamic energy management techniques both in hardware and software levels at cloud data centers. This paper surveys various issues related to dynamic energy management in cloud data centers.
Highlights
Data Centers have emerged as a back-bone infrastructure, housing large number of IT equipments such as servers, data storage, network devices, power and cooling devices etc. that facilitate the development of wide variety of services offered by the cloud
The excessive energy consumption at data centers leads to high operational cost, large amount of CO2 emission and falling lifetime of hardware equipments
Once the hotspot is detected in source physical machine (PM), the virtual machines (VMs) placement algorithm finds the workload demands of each VM and identifies the target PM based on the resources availability such as CPU, memory, network and disk [13,14,15,16,17]
Summary
Data Centers have emerged as a back-bone infrastructure, housing large number of IT equipments such as servers, data storage, network devices, power and cooling devices etc. that facilitate the development of wide variety of services offered by the cloud [1] Currently, several service providers such as Amazon, Google, Yahoo, Microsoft, IBM and Sun, have their own data centers to provide the scalable services to a large customer base [2,3].With the rapid development of IT industry and increasing demand for cloud services, the number of data centers have increased. That facilitate the development of wide variety of services offered by the cloud [1] Currently, several service providers such as Amazon, Google, Yahoo, Microsoft, IBM and Sun, have their own data centers to provide the scalable services to a large customer base [2,3].With the rapid development of IT industry and increasing demand for cloud services, the number of data centers have increased. Virtualization technology is one such powerful technology to address this energy inefficiency by increasing resource utilization [6].This technology allows multiple virtual machines (VMs) to share the resources on a single physical machine (PM) The features such as VM isolation and VM migration along with dynamic resource provisioning can be used either to consolidate virtual machines on fewer physical servers or to balance the load across physical servers in data centers, thereby ensuring applications’ performance. This paper surveys the various techniques and issues related to dynamic energy management in cloud data centers.
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