• Bavishi Dezal Dipakkumar
• Prof. Dhara Jani

The main objective is to design efficient and optimum network for cloud computing by using virtual machine migrations. Several algorithms have been studied and proposed in the literature to solve issues regarding size complexity, time complexity and speed when migrating data from virtual machine to server. In most of the cases, decisions on VM migrations are taken without factoring in time complexity, size complexity and speed. Being computing element in the cloud datacenter, virtual machine should be able to migrate from one location to another location in order to meet necessities of user therefore it is discussed that which VM must be migrated so as to minimize the network overhead among traditional cloud and mobile cloud systems is investigated in this paper. Proposed an algorithm based on fuzzy clustering to solve the aforementioned problem in an optimal way. Experimental evaluation shows that by using proposed algorithm, size complexity and time complexity are reduced, thus performance is improved.

Virtual machine migration, Fuzzy clustering, Network optimized

"Advance Selection Approach for Efficient Design Network for Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.429-433, June-2019, Available :http://www.jetir.org/papers/JETIR1906207.pdf

"Advance Selection Approach for Efficient Design Network for Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp429-433, June-2019, Available at : http://www.jetir.org/papers/JETIR1906207.pdf