Study of Mobile data management and Optimization Techniques

Authors

  • Ms Jyoti Assistant Professor Computer Science Pt. NRS Govt College Rohtak
  • Ms. Yogita Assistant Professor Computer Science Pt. NRS Govt College Rohtak

Keywords:

Mobile data management, Data synchronization, Prefetching

Abstract

Mobile data management is a complex field that ensures data efficiency on mobile devices and networks. Data synchronisation between devices and servers ensures platform consistency. Caching and prefetching improve mobile device performance by storing frequently used data. In low-connectivity areas, data compression improves bandwidth use and lowers data transmission costs. Context-aware data management considers location, time, and user behaviour to give relevant info. Encryption and access control safeguard user data. Offline data access lets mobile applications work offline and sync with servers when connected. Mobile data analytics uses massive amounts of user data to improve user experience and inform choices. Data backup and recovery guarantee data recovery after loss or device failure. Data de-duplication optimises storage and retrieval. Data governance enforces legislation and industry standards for data access, use, and retention. Mobile data management ensures efficient, safe, and reliable data services on mobile platforms while optimising resource consumption and user experience. It underpins current mobile apps and services.

References

Kim, Y., Choi, K. (2016). Mobile cloud computing architecture, applications, and methods. 40, 14-30.

Zhang, Wen, Li, B., and He, Y. (2015). Mobile cloud computing survey. 15(12), 1717-1735.

Alqahtani, S., Alhowaish, M., Aldossary, M., Almohri, Y., & Alshahrani (2018). Mobile edge computing architectures, applications, and research issues. IEEE Access, 6(79529)–79554.

Rani, S., Choudhary, A., Mishra, N. (2019). Mobile data management methods and issues. International Conference on Intelligent Computing and Control Systems (ICCS) 2019. (pp. 197-202). IEEE.

Malipatil, M.M., & Ghatol, A.A. (2018). Mobile big data management study. 100, 1-18.

Chen, L.; Wang, J.; Zheng, K. (2017). Mobile big data architecture, administration, and security. 22(1), 6-18.

C. Miao, Y. Qian, Z. Ma, H. Wang, & J. Cao (2018). Mobile data gathering in wireless sensor networks: Problems, solutions, and prospects. 20(4), 2875–2902.

Singh and Kaur, M. (2019). Mobile data offloading: A detailed study. 128, 1-21.

Wu, Z., Yang, C., Wang, J., & Lui, J.C. (2020). Mobile edge caching difficulties, challenges, and potential. IEEE Communications Surveys & Tutorials, 22(1), 556-592.

Wu, D., Zhang, X., and Liu, W. (2019). Mobile data pricing: cellular networks to large data. IEEE Communications Surveys & Tutorials 21(1):507-534.

& Borcea, C. (2019). Mobile cloud computing architecture, applications, and methods. 52(5), 1-37.

Saberali, R., Jahanshahi, M.R., & Atani, R.E. (2017). IoT mobile data management survey. IJIM 37(3), 183-194.

Downloads

Published

2023-03-30

How to Cite

Ms Jyoti, & Ms. Yogita. (2023). Study of Mobile data management and Optimization Techniques. Innovative Research Thoughts, 9(1), 313–320. Retrieved from https://irt.shodhsagar.com/index.php/j/article/view/614