Cloud computing with its efficient and reliable service is now considered as a good choice over traditional approach of serving multimedia requests. The key issue to handle while serving these requests is to provide the required resources in shortest possible time without violating SLA (Service Level Agreement). In this paper, propose an improved and efficient load balancing technique for multimedia system called ILBTM to serve the purpose. It considers current server load, bandwidth availability and present network conditions while choosing efficient datacenter for request processing. Its main advantage is consideration of heterogeneous environment and parameter calculation on the fly which makes it more analogous to real time scenario.
We are living in two worlds one where we physically present and one where we virtually present and that virtual world is nothing but an internet world. We spent lot of time on internet and our maximum work is on internet such as banking, business, and government work. Cloud Computing is the future of this world. Cloud computing is internet based computing technology. Virtual machine is the core element of this computing technology. In the data center many virtual machines present which satisfy the user request and their requirements. To efficiently satisfying the user need and uninterrupted services some time virtual machine needs to be migrated from one data center to another data center or from one host to another host within the data center. There are many algorithms for virtual machine migration which are based on different parameters and conditions. This paper comprises all such algorithms with their merits and demerits and also a comparative study of these algorithms.
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