Matrix based proactive resource provisioning in mobile cloud environment |
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Affiliation: | 1. Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH, United States;2. Department of Computer Science, Gulf University for Science and Technology, Kuwait;3. 204, route de la Nerulaz, 74570 Groisy, France;1. Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, India;2. Space Applications Centre, ISRO, Ahmedabad 380 015, India;1. Department of Computer Science and Engineering, Dr.Sivanthi Aditanar College of Engineering, Tiruchendur, India;2. Department of Electronics and Communication Engineering, National Engineering College, Kovilpatti, India |
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Abstract: | Mobile cloud computing is a dynamic, virtually scalable and network based computing environment where mobile device acts as a thin client and applications run on remote cloud servers. Mobile cloud computing resources required by different users depend on their respective personalized applications. Therefore, efficient resource provisioning in mobile clouds is an important aspect that needs special attention in order to make the mobile cloud computing a highly optimized entity. This paper proposes an adaptive model for efficient resource provisioning in mobile clouds by predicting and storing resource usages in a two dimensional matrix termed as resource provisioning matrix. These resource provisioning matrices are further used by an independent authority to predict future required resources using artificial neural network. Independent authority also checks and verifies resource usage bill computed by cloud service provider using resource provisioning matrices. It provides cost computation reliability for mobile customers in mobile cloud environment. Proposed model is implemented on Hadoop using three different applications. Results indicate that proposed model provides better mobile cloud resources utilization as well as maintains quality of service for mobile customer. Proposed model increases battery life of mobile device and decreases data usage cost for mobile customer. |
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Keywords: | Cloud computing Mobile cloud Resource provisioning Resource provisioning matrix Back propagation neural networks Resource bill calculation |
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