A Swarm Intelligence Based Model for Mobile Cloud Computing
Автор: Ahmed S. Salama
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 2 Vol. 7, 2015 года.
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Mobile Computing (MC) provides multi services and a lot of advantages for millions of users across the world over the internet. Millions of business customers have leveraged cloud computing services through mobile devices to get what is called Mobile Cloud Computing (MCC). MCC aims at using cloud computing techniques for storage and processing of data on mobile devices, thereby reducing their limitations. This paper proposes architecture for a Swarm Intelligence Based Mobile Cloud Computing Model (SIBMCCM). A model that uses a proposed Parallel Particle Swarm Optimization (PPSO) algorithm to enhance the access time for the mobile cloud computing services which support different E Commerce models and to better secure the communication through the mobile cloud and the mobile commerce transactions.
Mobile Cloud Computing, Swarm Intelligence, Parallel Particle Swarm Optimization (PPSO), E-Commerce
Короткий адрес: https://sciup.org/15012230
IDR: 15012230
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