www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 721 Copyright © 2011-15. Vandana Publications. All Rights Reserved. Volume-5, Issue-3, June-2015 International Journal of Engineering and Management Research Page Number: 721-725 Review of Task Scheduling in Cloud Computing Environment Mandeep Singh 1 , Sikander Singh 2 1 UCOE, Punjabi University, Patiala, INDIA 2 Assistant Professor, UCOE, Punjabi University, Patiala, INDIA ABSTRACT Cloud Computing is an evolving area of efficient utilization of computing resources. Data centers accommodating Cloud applications ingest massive quantities of energy, contributing to high functioning expenditures and carbon footprints to the atmosphere. Hence, Green Cloud computing resolutions are required not only to save energy for the environment but also to decrease operating charges. In this paper we will investigate all possible areas in a typical cloud infrastructure that are responsible for substantial amount of energy consumption and we will address the methodologies by which resource utilization can be decreased without compromising Quality of Services and overall performance with scheduling algorithms. Cloud is developing day by day and faces many challenges, one of them is scheduling. Scheduling is a technique which is used to improve the overall execution time of the job. Scheduling in cloud is responsible for selection of best suitable resources for task execution, by taking some parameters into consideration. In this paper scheduling algorithms are reviewed We also discuss the implication of these solutions for future research directions to enable green Cloud computing. Keywords— Green Cloud, resource, scheduling algorithms. I. INTRODUCTION Recently, the emerging cloud computing offers new computing models wherever resources i.e. online applications, computing control, storage and network infrastructure can be shared as services through the internet. The popular utility computing model adopted by most cloud computing providers (e.g., Amazon EC2, Rack space) is moving features for those customers whose demand on fundamental resources be different by means of occasion. Energy utilization is the input concern in content division system and most of the distributed systems. They demand the gathering of computing resources network from one or several providers on data centers which are extending over the world. So this consumption is critical design parameter in modern data center and cloud computing systems. The power and energy which is used by the computer equipment and the linked cooling system is a major element of these energy price and higher carbon emission. The main purpose of this work is to present a new energy usage models which gives detailed explanation on energy usage in virtualized data centers so that cloud computing can be more ecofriendly and sustainable technology to force technical, profitable and engineering advancement for the future . II. NEED OF GREEN CLOUD COMPUTING Green Cloud computing is envisioned to attain not only competent processing and consumption of computing communications, but also reducing energy consumption. This is essential for ensuring that the future expansion of Cloud computing is sustainable. Otherwise, Cloud computing with increasingly more enveloping front- end client devices interacting with back-end data Centre’s will cause an enormous escalation of energy usage. To tackle this problem, data Centre assets need to be managed in an energy-efficient manner to drive Green Cloud computing. In particular, Cloud assets need to be billed not only to satisfy QoS requirements particular by users via Service Level Agreements, but also to reduce energy usage. These are below benefits: Multi-tenancy: Using multi contract approach, Cloud computing communications reduces overall energy usage and associated carbon emission. The SAAS provider dish up several companies on same communications and