International Journal of Electrical, Electronics ISSN No. (Online): 2277-2626 and Computer Engineering 5(1): 54-60(2016) Profit Based Data Center Service Broker Policy for Cloud Resource Provisioning Anand Motwani*, Rakhi Chaturvedi** and Anurag Shrivastava*** *Assistant Professor and Head, Department of Computer Science & Engineering, NRI Institute of Research & Technology, Bhopal, (Madhya Pradesh), INDIA **M. Tech. Scholar, NRI Institute of Research & Technology, Bhopal, (Madhya Pradesh), INDIA ***Assistant Professor, Department of Computer Science & Engineering, NRI Institute of Research & Technology, Bhopal, (Madhya Pradesh), INDIA (Corresponding author: Rakhi Chaturvedi) (Received 14 March, 2016 Accepted 25 April, 2016) (Published by Research Trend, Website: www.researchtrend.net) ABSTRACT: Hiring of Cloud resources establishes a business association between Provider and Consumer. In cloud, consumer wants to cut down costs and provider wants to earn more profit even on that cost. Here a symmetric arbitration plan by broker realizes the relationship between buyer and provider. In federated cloud computing environment resources are traded as a commodity and cloud users can migrate between providers without a glitch. This will opens up prospects for brokers to penetrate in the market, acting as mediator between users and providers. Cloud Provider and consumer agree on mutually agreed prices. Still, broker is constantly negotiating providers for optimal or fair costs and provisions the provider’s resources to consumer to earn more profits. Alike financial market brokers, it matches consumer demand with provider’s supply. First this work briefly describes the Cloud Data Center Service brokering and it’s Architecture. Then it surveys Data Center Service Broker policies. The main aim of this work is to suggest and propose a Cloud Brokering Framework that supports all the brokering steps along with proposed ‘profit optimization’ consideration. The framework worked fine as the evaluation shows successful execution of simulation test and the results are promising for the same. The framework reduces the overall cost of running the resources over cloud while complying with Quality of Service (QoS) parameters. This is efficiently done through effective provisioning of DC resources to consumer by broker on the basis of dynamic pricing obtained after negotiating. The framework benefits all parties. The work is simulated using CloudSim based tool. The simulation scenario is carefully generated to show the effectiveness of algorithm. The results are significant in terms of Cost (profit) and Cloudlet execution. I. INTRODUCTION The Cloud Computing (CC) [1, 4] is a new computing model which comes from grid computing, distributed and parallel computing, virtualization technology, utility computing and other related technologies. Technically, this computing model is a technological way of managing large numbers of highly virtualized resources in such a way that they resemble a single large resource from management perspective. The access to these resources or delivery is dynamic, convenient and on-demand. CC allows customers to dynamically scale their applications, software platforms, and hardware infrastructures according to negotiated Service Level Agreements (SLAs) [2]. Cloud computing gave rise to many public and private Cloud infrastructures to provide different services that can be classified as: Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) [3, 4]. Now the challenge for the Cloud Providers is to deal with necessary requirement of power-performance trade-off by satisfying high Quality of Service (QoS) and Service Level Agreements (SLA) requirements while maximizing their profits. The current public cloud computing architectures and infrastructures differs from one another in obtainable QoS, cost, and access interfaces, which raises the challenge of provisioning services through multiple Clouds [2] (also known as multi-Cloud). So to obtain high availability and cost reductions, users are moving towards multiple Clouds for deploying their services and resources. With growing market the number of IaaS providers and users increasing. Now the users and providers have to deal with many market complexities including different pricing schemes, interoperability and other issues. So, here the Cloud Service Broker comes into the picture. I J E E C E