Survey of Optimized CSP Migration

Abstract

Cloud computing allow the different business to emerge upon a large scale, it provide a large computing environment, space, application along with the storage space to the business. Thus allow scaling up the business and slowing down their resource to maintain and stored. More over the cloud environment works on the base of the gain in virtualization of the resources over a network so generally it is compared by grid computing. But it also raises the scale of the server to concern, to manage and to use the application to exabyte, when the service is to be migrated on to the different CSP. The system allows the user to select different CSP or datacenters to manage and store the data but, when migration is done the system needs to retrieve the whole data stored onto their system, which also can allow more faults and process failures to the system. This may lead the system to crash or go in data-lock in condition. To avoid this problem here a survey is done of the system's that are designed to allows user to select their CSP according to their needs on demand, as well as it allow user to select the CSP to migrate on. The transfer of data in the system allows user to transfer whole data to CSP that they had demanded with the provision of fault-tolerance and reliability of data transferred on the new CSP. Even blanks can be filled, as in this survey we also provide TPA relations that acts a middle tier to the user and the CSP that rates the CSP accordingly to the logs. Thus the survey enlightens the performance and experiments of the system.