Mobile Cloud Computing Architecture Model for Multi-Tasks Offloading

Faiza Riaz


In modern era the cell phones has born through the significant technological advancements. But this resides a low multi tasks entity. Many people use mobile devices instead of PC’s. Cell phones has limited number of resources like limited storage, battery time and processing. The cloud computing offloading deals with these limitations. Cloud computing become more attractive as it reduce the cost and also time efficient. Business of all sizes can’t afford to purchase hardware and softwares but cloud computing provide these resources and executes multiple tasks and allows the user to access their data and provide other control in each level of cloud computing.  All of these techniques save smart phones properties or capabilities but it also becomes the reasons of communication cost between cloud and smart phone devices. The main advantage of cloud computing is to provide multiple properties at different prices. These applications has goal to attain versatile performance objective. In this research work, an architecture model for multi tasks offloading designed to overcome this problem. For this purpose CloudSim simulator use with the NetBeans and implement the MCOP algorithm. This algorithm solves the execution timing issue and enhances the mobile system performance. In this tasks are partitioning into two parts and then implemented on cloud site or locally. It reduces the time response and communication cost or tasks execution cost.

Keywords: Mobile Cloud Computing, Mobile Computing Offloading, Smart Mobile Devices, Optimal Partitioning Algorithm.

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ISSN (Paper)2224-5782 ISSN (Online)2225-0506
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