Leveraging Mobile Cloud Computing for Real-Time Data Processing: Novel Approach

Swarn Kaur*, Rama Chawla**
*-** Department of Computer Science and Engineering, State Institute of Engineering and Technology, NiloKheri, Haryana, India.
Periodicity:July - December'2024
DOI : https://doi.org/10.26634/jcc.11.2.21661

Abstract

Cell phones have become an essential part of daily life. Studies indicate that most corporate and telecommunication sectors plan to integrate Mobile Cloud Computing (MCC) to meet their business needs efficiently. MCC combines cloud computing with mobile devices, enhancing computational power and storage capacity. This study provides a comprehensive analysis of real-time data processing in MCC environments, exploring challenges, opportunities, and future directions. It discusses computational offloading, network latency, security concerns, and resource management strategies to optimize performance. Since 2009, the term 'mobile cloud computing' (MCC), which blends cloud computing with mobile computing, has gained popularity and become a hot topic in the IT community. As MCC is still in its infancy, identifying future research directions requires a solid understanding of the technology. To achieve this goal, this study provides an overview of MCC's history, fundamental principles, features, ongoing studies, and potential future directions. After reviewing MCC's evolution from mobile computing to cloud computing, its key features and ongoing research are examined. The infrastructure and characteristics of mobile cloud computing are also analyzed. The remainder of the study explores the challenges associated with mobile cloud computing, provides an overview of various relevant research efforts, and identifies possible avenues for further investigation.

Keywords

Mobile Cloud Computing, Real-Time Data Processing, Optimization, Challenges, Novel Approach.

How to Cite this Article?

Kaur, S., & Chawla, R. (2024). Leveraging Mobile Cloud Computing for Real-Time Data Processing: Novel Approach. i-manager’s Journal on Cloud Computing, 11(2), 1-10. https://doi.org/10.26634/jcc.11.2.21661

References

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