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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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05 July-September 2023, Volume 38 Issue 4
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Abstract
Mobile Cloud Computing (MCC) has emerged as a powerful paradigm that combines mobile devices' capabilities with the computational resources of cloud servers. However, MCC performance is often hindered by latency and bandwidth constraints. This research paper proposes a novel framework that leverages cloudlets to enhance MCC performance significantly. The framework optimizes task offloading, resource allocation, and data management, resulting in improved application response times and overall user satisfaction. In this study, we present the framework's methodology, implementation, and evaluate its performance through extensive experiments. The results demonstrate the substantial improvements achieved by our approach, highlighting its potential to transform the MCC landscape.
Keyword
Mobile Cloud Computing, Cloudlets, Performance Enhancement, Task Offloading, Resource Allocation, Data Management.
PDF Download (click here)
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