Abstract
Cloud computing affords huge potential for dynamism, flexibility and cost-effective IT operations. Cloud computing requires many tasks to be executed by the provided resources to achieve good performance, shortest response time and high utilization of resources. To achieve these challenges there is a need to develop a new energy aware scheduling algorithm that outperform appropriate allocation map of task to optimize energy consumption. This study accomplished with all the existing techniques mainly focus on reducing energy consumption.
Highlights
With the development of high speed networks, there is an alarming rise in its usage comprised of Web queries a day and thousands of e-commerce transactions
A large scale data centers handle this ever increasing demand by consolidating hundreds and thousands of servers with other infrastructure such as cooling, network systems and storage. The development of this commercialization is named as cloud computing
UttamMandal et al [8] have developed the renewable energy aware cloud service and virtual machine migration to relocate energy demand using resource allocation technique. This technique is used to migrate from one data center to another if more renewable energy is available in destination
Summary
With the development of high speed networks, there is an alarming rise in its usage comprised of Web queries a day and thousands of e-commerce transactions. A large scale data centers handle this ever increasing demand by consolidating hundreds and thousands of servers with other infrastructure such as cooling, network systems and storage. The development of this commercialization is named as cloud computing. A great amount of research on cloud computing to offer low power systems, since serious issue on the sustainability of current technologies and practices. If the energy consumption increases tremendously which directly affect the performance of the cloud in a while increases the cost. In this survey paper, energy harnessing techniques are discussed. The remaining paper is organized as follows: Section 2 presents overview, Section 3 presents the literature review of the existing methods of energy efficient techniques, and Section 4 presents conclusions
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