Mobioff: The Efficiency and Secured Dynamic Execution Offloading in Mobile Cloud Computing
N Kandavel1, A Kumaravel2
1N Kandavel*, Research Scholar, Department of Computer Science and Engineering, BIHER – Bharath Institute of Higher Education and Research, Chennai, India.
2A Kumaravel, Professor, Department of Information Technology, BIHER – Bharath Institute of Higher Education and Research, Chennai, India
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP:7197-7201 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2065109119/2019©BEIESP| DOI: 10.35940/ijeat.A2065.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Smart Mobile Phone devices are widely used for current daily usages. However it has the limited Capacity in terms of the parameters as Memory, CPU, Power Consumption and network connectivity. So the main issue is to address the problem of complex and huge applications which run on mobile phones, to decide offloading schedule dynamically. so that to optimize the battery lifetime, memory usage and CPU utilization. In this paper first to extract and estimate the run time parameters in mobile devices with given specification for applications like sorting and image processing techniques. With simulation of task manager and operating system interfaces. Secondly to find out the the optimal values using with the programming parameters in case the remote cloud execution by offloading. In the later case hence we combine these two experiments to identify the suitable configuration and types of applications and complexity of the same. In additionally once decided the offloading decision, using Cloudme tool to authenticate and encrypted the application data before it send to cloud.
Keywords: Mobile Computing, Mobile Cloud Computing, Computation Offloading, Security, Mat Lab and Cloud me.