Research Paper | Computer Science & Engineering | India | Volume 5 Issue 10, October 2016
Performance and Turning Load Balance in Cloud Computing By Using Modified Particle Swarm Optimization (MPSO)
Rajasekhar Bandapalle Mulinti | G. A. Ramachandra 
Abstract: Cloud computing is on demand access to virtualize Information Technology (IT) resources that are hosted in a data center, shared by others, simple to use, paid for via subscription, and accessed over the mobile cloud computing. In recent developments, complexity data intensive applications are increasing most of the users are accessing mobile devices through different range radio communication technologies to make them as cloudlets. So every mobile devices works either services provider or client provider with the corresponding services models. In this research paper we proposed modified particle swarm optimization (MPSO) for optimization of load balance in computing and categories into remote cloud service mode, direct cloud service mode and improves the performances of virtualization and reduce load balances in the cloud hosted services.
Keywords: Modified Particle Swarm Optimization, offloading, load balance, remote cloud service mode, direct cloud service mode, virtualization
Edition: Volume 5 Issue 10, October 2016,
Pages: 1605 - 1609
How to Cite this Article?
Rajasekhar Bandapalle Mulinti, G. A. Ramachandra, "Performance and Turning Load Balance in Cloud Computing By Using Modified Particle Swarm Optimization (MPSO)", International Journal of Science and Research (IJSR), Volume 5 Issue 10, October 2016, pp. 1605-1609, https://www.ijsr.net/get_abstract.php?paper_id=22101602
How to Share this Article?
Similar Articles with Keyword 'offloading'
STOC: Energy Cost Models of Smartphones for Task Offloading to the Cloud
Rahitha K | Gireesh T K
Enhanced PACK Approach for Traffic Redundancy Elimination
Eldho Skaria | George T Vadakkumcheril