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ISSN 1004-9037
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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
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      05 July-September 2023, Volume 38 Issue 4
    Article

    ENHANCING MOBILE CLOUD COMPUTING PERFORMANCE THROUGH CLOUDLET-BASED NOVEL FRAMEWORKS
    1Dr. Harsh Lohiya, 2Pradeep Kumar Shriwas
    Journal of Data Acquisition and Processing, 2023, 38 (4): 659-667 . 

    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.


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ISSN 1004-9037

         

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