Adoption of Edge Computing in Pharmaceutical Data Processing for Real-Time Decision Making

DOI: https://doi.org/10.63345/ijrmp.org.v10.i1.4

Rinku Debbarma

Independent Researcher

Agartala, Tripura, India

Abstract

The exponential growth of pharmaceutical data in recent years has necessitated innovative computing paradigms to support real-time decision making. Edge computing, which processes data at or near the source rather than relying solely on centralized cloud servers, has emerged as a promising solution for reducing latency and improving data security in pharmaceutical applications. This manuscript explores the adoption of edge computing in the pharmaceutical sector, emphasizing its impact on data processing, quality control, and rapid decision-making. A comprehensive review of literature up to 2020 is presented, followed by a discussion of a case study that includes statistical analysis through a representative table. The methodology, results, and conclusions illustrate how edge computing can enhance the operational efficiency and reliability of pharmaceutical data management while ensuring compliance with industry regulations.

Keywords

Edge Computing; Pharmaceutical Data; Real-Time Decision Making; Data Processing; Quality Control

References

• https://www.google.com/url?sa=i&url=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FEdge_computing&psig=AOvVaw33B4ql8LQsf5boWw4pVW4Z&ust=1741433580796000&source=images&cd=vfe&opi=89978449&ved=0CBQQjRxqFwoTCMDbgezv94sDFQAAAAAdAAAAABAQ
• https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.cogentinfo.com%2Fresources%2Freal-world-applications-of-edge-computing-industry-case-studies&psig=AOvVaw0xVIMd33JclCj74huGysWg&ust=1741433837937000&source=images&cd=vfe&opi=89978449&ved=0CBQQjRxqFwoTCNib0vDw94sDFQAAAAAdAAAAABAK
• Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637–646.
• Satyanarayanan, M. (2017). The emergence of edge computing. IEEE Computer, 50(1), 30–39.
• Li, S., Xu, L. D., & Zhao, S. (2018). The Internet of Things: A survey on enabling technologies, protocols, and applications. Information Systems Frontiers, 20(2), 243–259.
• Zhang, Y., Qian, W., & Zhou, X. (2019). Enhancing pharmaceutical data processing with IoT and edge computing. Journal of Pharmaceutical Innovation, 14(2), 123–134.
• Kumar, N., & Mallick, P. K. (2018). The Internet of Things: Insights into the building blocks, component interactions, and architecture layers. Procedia Computer Science, 132, 109–117.
• Zhang, Q., Yang, L., Chen, Y., & Zhang, L. (2019). A survey on edge computing: Concepts, applications, and research challenges. IEEE Access, 7, 60063–60079.
• Gupta, H., & Prasad, R. (2020). Real-time data processing in the pharmaceutical industry: A case for edge computing. International Journal of Pharmaceutical Research, 12(1), 45–59.
• Kim, Y., & Lee, S. (2018). Security challenges in IoT-based pharmaceutical applications. Journal of Network and Computer Applications, 115, 23–31.
• Chen, M., Mao, S., & Liu, Y. (2017). Big data: A survey. Mobile Networks and Applications, 22(3), 171–209.
• Huang, G., & Luo, X. (2019). Cloud and edge computing in pharmaceutical data processing: An integrative review. IEEE Cloud Computing, 6(2), 45–52.
• Patel, P., & Mistry, D. (2017). An overview of edge computing in healthcare: Opportunities and challenges. Journal of Medical Systems, 41(3), 45–52.
• Nguyen, T. M., & Tran, T. D. (2020). Integrating edge computing with IoT for enhanced pharmaceutical data analysis. Journal of Computer Networks and Communications, 2020, 1–10.
• Li, L., & Zhao, X. (2018). Efficient data processing in the pharmaceutical industry using edge computing. IEEE Transactions on Industrial Informatics, 14(7), 3042–3050.
• Sharma, R., & Dhiman, G. (2019). Quality control in pharmaceutical manufacturing using real-time data analysis. International Journal of Production Research, 57(4), 987–998.
• Wang, L., Chen, Y., & Zhang, Z. (2019). Distributed data processing for pharmaceutical applications: Challenges and opportunities. IEEE Transactions on Information Forensics and Security, 14(9), 2329–2340.
• O’Neil, S., & McCarthy, J. (2017). IoT and edge computing in the pharmaceutical supply chain. Supply Chain Management Review, 21(3), 34–40.
• Johnson, M., & White, R. (2018). Advancements in edge computing for healthcare applications. Journal of Emerging Technologies in Healthcare, 12(4), 245–255.
• Patel, S., & Desai, A. (2020). Edge computing: Bridging the gap between cloud and local data processing. Journal of Computing and Information Technology, 28(1), 57–68.
• Fernando, N., & Loke, S. (2018). Mobile cloud computing: A survey on research and future directions. Future Generation Computer Systems, 29(1), 84–106.
• Lee, J., & Kim, H. (2019). Enhancing security in edge computing for pharmaceutical applications. IEEE Security & Privacy, 17(2), 44–52.