Research Area: Cloud Computing
The overall performance of the development of computing systems has been engrossed on enhancing demand from the client and enterprise domains. but, the intake of ever-increasing energy for computing systems has commenced to bound in increasing overall performance due to heavy electric payments and carbon dioxide emission. The growth in server’s power consumption is increased continuously; and many researchers proposed, if this pattern repeats continuously, then the power consumption cost of a server over its lifespan would be higher than its hardware prices. The power consumption troubles more for clusters, grids, and clouds, which encompass numerous thousand heterogeneous servers. Continuous efforts have been done to reduce the electricity consumption of these massive-scale infrastructures. To identify the challenges and required future enhancements in the field of efficient energy consumption in Cloud Computing, it is necessary to synthesize and categorize the research and development done so far. In this paper, the authors prepare a taxonomy of huge energy consumption problems and its related solutions. The authors cover all aspects of energy consumption by Cloud Datacenters and analyze many more research papers to find out the better solution for an efficient energy consumption.
Keywords:
Energy-efficiency
Virtualization
DVFS
VM-Consolidation
VM-Migration
Cloud Datacentres
VM-Allocation.
Author(s) Name: Syed Arshad Ali; Mohammad Affan; Mansaf Alam
Journal name:
Conferrence name: 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
Publisher name: IEEE
DOI: 10.1109/CONFLUENCE.2019.8776977
Volume Information:
