Energy Efficient Resource Scheduling Techniques For Cloud Computing

Abstract

Cloud computing, a form of distributed computing, assures steadfast and convoluted service delivery. The emergence of cloud has revolutionized the style of consumption and delivery of computing and information technology by triggering relocation of computing and data capabilities from personalized computers to big data centers. The setting up of cloud data centers has embellished the delivery of extensive, reliable and intricate technical developments while assuring extremely networked, scalable, and virtualized environment to the users. The data centers facilitating cloud services have undoubtedly ensured swift service delivery but have signi cantly exaggerated the energy demands and caused severe energy crisis. A large amount of energy is wasted in these data centers whilst posing performance abasements due to irregular resource utility and energy consumption levels. The trepidations related to energy crisis have further rooted serious environmental concerns and danger to ecological sustainability by increasing atmospheric Green House Gas and Carbon Dioxide (CO2) emissions. Besides this, the high energy consumption and demand hampers processing capabilities in terms of execution time, Quality of Service (QoS) parameters etc. and elevates energy-related expenditures. Consequently, the realization of energy e ciency and surmountability of high energy demands has become prime concern for the computing sector. The curtailment of the energy demands becomes more important when scarcity, location-dependency and other restrictions are associated with the renewable and non-renewable sources of energy. Thus, the constraints related to such explicit measures and mounting energy demands have called for the implicit management of the energy crisis within the data centers. For this, energy optimization initiatives have been made at both the hardware as well as software levels, out of which, the software-oriented measures have proved more signi cant in terms of accomplishment and cost.