A Swarm Intelligence Based Model for Mobile Cloud Computing | Zendy

Ahmed S. Salama | Zendy

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A Swarm Intelligence Based Model for Mobile Cloud Computing

Author(s) -

Ahmed S. Salama

Publication year - 2015

Publication title -

international journal of information technology and computer science

Language(s) - English

Resource type - Journals

eISSN - 2074-9015

pISSN - 2074-9007

DOI - 10.5815/ijitcs.2015.02.04

Subject(s) - computer science , cloud computing , mobile cloud computing , distributed computing , swarm intelligence , mobile computing , particle swarm optimization , utility computing , mobile device , the internet , cloud testing , cloud computing security , computer network , world wide web , operating system , algorithm

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.

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