Performance Enhancement of Cloud Computing Environment Using Effective Resource Utilization Techniques

Abstract

Cloud computing is a model that provides on demand services to access several assets newlinelike servers, software s and Network that can be easily given to a client without any effort newlinewith minimum charges. We need not to worry about license purchasing, installation and newlineupgrading of various hardware s and software s. It is a mixture of various technologies that newlinecreates a new path of success for Information Technology development. It allows clients newlineto access their data and information at anytime and anywhere in the world. newlineIn cloud computing environment traffic is uncertain it may me very high at any time. In newlinesuch condition there is possibility of work load balancing issues generated, few servers newlinehaving too much load and few one has less load than the capacity. In such scenarios load newlinebalancer is required to distribute proper work on all servers. This will increase resource newlineutilization and will reduce response time. newlineBased on the working style of load balancing algorithm, it is of three types namely Static newlineLoad balancing algorithms, Dynamic Load balancing Algorithms and Nature Inspired Load newlineBalancing Algorithms. newlineCloud Simulation Tools: There are several Cloud Simulation tools available in the market newlinewhich are used to test the performance of algorithms, procedures and proposed new newlinetechniques. CloudSim, CloudAnalyst, iCanCloud, GreenCloud, CloudReports, CloudExp newlineand several others are the most popular Cloud Simulation Tools. newlineWe will study existing algorithms and based on the analysis we will develop a new load newlinebalancing algorithm. We will also study cloud simulation software s in detail and also newlinefind out their usability. Proposed Algorithm will be tasted on Cloud Simulation software. newlineThe results generated by simulation software will be compared with existing load newlinebalancing algorithms.