Meta-Heuristic Algorithms for Advanced Distributed Systems

22Advances in Resource Management Through the Integration of Distributed Computing Approaches

K. Jayalakshmamma¹ Veena P. Vemuri², Elena Y. Zegarra³, Jitendra Gowrabhathini⁴, Fred Torres-Cruz⁵, Julio C.L. Huanca⁶, and José L.A. Gonzáles⁷

¹Government RC College of Commerce and Management, Bengaluru, Karnataka, India

²NKES College of Arts, Commerce, and Science, Mumbai, India

³Academic Department of Accounting Sciences, Universidad Nacional del Altiplano de Puno, Puno, Peru

⁴K L Business School, Koneru Lakshmaiah Education Foundation, K L University, Vijayawada, Andhra Pradesh, India

⁵Academic Department of Statistics and Computer Engineering, Universidad Nacional del Altiplano de Puno, Puno, Peru

⁶Academic Department of Basic Sciences, Universidad Nacional de Juliaca, Puno, Peru

⁷Department of Business, Pontifical Catholic University of Peru, Lima, Peru

22.1 Introduction

Resource management is a critical function for organizations that rely on computing resources to support their operations. In today’s complex and dynamic computing environments, traditional approaches to resource management are no longer sufficient. Distributed computing approaches, such as grid computing, cloud computing, and EC, are increasingly being used to manage computing resources across different locations, networks, and systems. These approaches offer significant benefits, including improved scalability, flexibility, and efficiency. However, integrating these approaches for resource management can also ...