Analysis and Study of Load Balancing in Cloud

Abstract

Cloud Computing is a way of delivering service through Internet. It has caused a paradigm shift in the world of computing. Cloud Services not only provides on-demand service but also are dynamically scalable and highly available. Its emergence has impacted the business world and has brought momentous enhancements in IT infrastructure. Although it provides a great opportunity to both service provider and end user, but still there are Security and Privacy issues that hinder the acceptance of Cloud services on a larger scale. The functionalities such as virtualization, multitenant and openness of cloud computing bring prospective security issues to these services such as unreliability, uncertainty and discrepancy. Data confidentiality and trust formation are the major security concerns in cloud. Therefore, there is a firm need to establish an Inherent trust on cloud service provider in order to assure the cloud behavior, data protection and make cloud technology globally acceptable. Data protection deals with protecting the individual or organization’s private data which is shared over the cloud. It is possible only when the security and trustworthiness of both the service provider and user is ensured. Therefore there is a firm need to establish trust between both and hence we need to develop a trust management model. The Trust Model we are proposing here will work for Private, Public and Hybrid Cloud. It will take into the consideration both Direct and Indirect Trust or recommended trust. For the Calculation of Trust Value we will take Memory (RAM), MIPS (Million Instruction per Cycle), Frequency (Frequency of data center) and Fault Rate. We will initially calculate only Direct Trust and as the time will evolve we will also consider the indirect trust