Cloud computing is deployed in the data centre where physical machine are virtualized. Cloud computing being the new technology has both advantages and disadvantages, one of the issues which cloud computing faces is load balancing. More than one virtual machine runs above the Virtualization. Load balancing in cloud computing is emerging topic which needs to be researched and study. The data cen...

Cloud Computing shares data between cloud users over the internet and provides it to different resources. There are many challenges faced in cloud computing. The main one is Load balancing .Many researchers have been working on load balancing but still a lot of work has to be done to provide efficient & optimal load balancing method. In this dissertation we are proposing a new hybrid algorithm,...

Since Paxson’s study over ten years ago, the Internet has changed considerably. In particular, routers often perform load balancing. Disambiguating routing changes from load balancing using traceroute-like probing requires a large number of probes. Our first contribution is FastMapping, a probing method that exploits load balancing characteristics to reduce the number of probes needed to measur...

While load balancing techniques have been designed and evaluated for efficient resource utilization in cloud computing, achieving energy efficiency as a consequence of load balancing often does not get direct attention. In this paper we describe two load balancing algorithms that focus on balancing workload distribution among physical hosts in the cloud infrastructure. The test results presente...

In this paper we present a game theoretic framework for obtaining a user-optimal load balancing scheme in heterogeneous distributed systems. We formulate the static load balancing problem in heterogeneous distributed systems as a noncooperative game among users. For the proposed noncooperative load balancing game, we present the structure of the Nash equilibrium. Based on this structure we deri...