COST-EFFECTIVE RESOURCE PROVISIONING IN CLOUD Dr. V KHANAA, R.MADHIYAZHAGAN, S.CHRISTYMELWYN, Professor, IT Dept., BIST, Bharath Institute of Higher Education and Research. Bharath University ,drvkannan62@yahoo.com PG Student, RRASE college of engineering,madhi1615@gmail.com Professor, RRASE college of engineering,christymelwyn@gmail.com Abstract: Now a day there is a new trend in storing and accessing resources and data in computers due to advanced network technologies. One of such trend is cloud computing where resources are stored and accessed on network. In cloud computing providers provide users with two providing technique first is reservation and second is on-demand. Reservation scheme is much cheaper than on-demand scheme as reservation is done in advance and on-demand is done at the moment of need. Along with this, in a cloud the two main disadvantages are that they do not have provision for managing over- provisioning (more than required resources) and under-provisioning(less than required resource) that occurs during allocating resources to the user. In this paper, we are providing a cost effective Map Reduce and cure service model that manages these two disadvantages and also increases the revenue at the provider’s side. We are making a model that manages the disadvantages in a cloud and also maximizes the revenue at the provider’s side. I. INTRODUCTION 1.1Project Cloud computing has recently gained a lot of popularity into IT industry. While industry has been focusing on Cloud research and development at high pace, academic community has recently joined which is seen through rise in workshops on cloud computing[1-9]. It also emerges as a new computing model which aims to provide reliable, customized and QoS (Quality of Service) for end users environment. It is a large scale distributed computing model where a pool of resources is available to users (also called as cloud consumers) for using it. The main purpose of cloud computing is that the user stores all its data and resources in a data center rather than storing them locally on a machine. Cloud computing also provides hardware and software services along with data storage services which are available to general public as well as to business market. Each such service is respectively called  Infrastructure as a Service (IaaS),  Platform as a Service (PaaS) or  Software as a Service (SaaS) 1.2 Motivation of the Project  A Map Reduce service allows enterprises to analyze their data without dealing with the complexity of building and managing large installations of Map Reduce platforms[10-14].  Using virtual machines (VMs) and storage hosted by the cloud, enterprises can simply create virtual Map Reduce clusters to analyze their data.  Map Reduce mainly works on per-job scheduling where the resource optimization is restricted to single user or single job. International Journal of Pure and Applied Mathematics Volume 118 No. 18 2018, 211-218 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu Special Issue ijpam.eu 211