Meta-Heuristic Algorithms for Advanced Distributed Systems
by Rohit Anand, Abhinav Juneja, Digvijay Pandey, Sapna Juneja, Nidhi Sindhwani
20Innovations in Distributed Computing for Enhanced Risk Management in Finance
Venkateswararao Podile1, Syed M. Faisal2, Gangu N. Mandala3, Shaik Altaf4, Nayana Harshitha4, Cheedella A.S. Lakshmi4, and Chunduru R. Chandan4
1K. L. Business School, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
2Department of Management, Jazan University, Kabul, Saudi Arabia
3Department of Business Administration, Central Tribal University of Andhra Pradesh, Konda Karakam, Andhra Pradesh, India
4Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
20.1 Introduction
Risk management is a critical function in the financial industry, with the potential to minimize or eliminate losses arising from market volatility, credit, operational, or liquidity risks. As financial institutions process large amounts of data, the application of advanced technologies, such as distributed computing, has become essential to enable timely and accurate risk assessment. Analyze and manage large data volumes while simultaneously reducing the time and cost associated with risk management processes. The chapter highlights the theoretical frameworks that underpin distributed computing, the types of distributed computing technologies and applications, the challenges and limitations, as well as best practices for its implementation. The chapter concludes by identifying emerging trends and recommendations for future research on this topic. The ultimate goal is to provide insights ...
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