A sustainable approach to cloud computing: A comprehensive analysis of load balancing techniques in cognitive environments
description: Cloud computing is one of the rising eras in big-scale computing, where information is processed in big information centers. One of the demanding situations with that is to accomplish load balancing of all the nodes. In addition, it's essential for proper utilization of assets and division of the work. This indicates that effective allocation and usage of the computing resources among clients in sharing mode leads to satisfactory users as well as good utilization of resources. Balancing the load in huge data-centric systems and networks is required to achieve the stated goal. The load balancing problem is considered as an optimization problem, and the rules for a load provide the number of compensations (scalability enabling, bottleneck avoidance) and resource consumption. A number of proposed algorithms exist for the load balancing problem in the cloud environment. Efforts have been made in this chapter to examine and review a few of the weight balancing algorithms in cloud computing. 2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors.
creator: Shanka, Uma; Jain, Rituraj; Radhakrishnan, G.V.; Tiwari, Akhilesh; Mahajan, Shubham; Tharewal, Sumegh
source: Cognitive Cloud Computing: Building Intelligent Systems for Tomorrow;pp.19-45
publisher: Taylor and Francis
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISBN: 978-104054278-1; 978-103294165-3;
language: English
type: Book chapter
coverage: Shanka U., Faculty of Management and Social Sciences, Qaiwan International University, Kurdistan, Sulaymaniyah, Iraq; Jain R., Department of Information Technology, Marwadi University, Rajkot, India; Radhakrishnan G.V., Kalinga School of Management, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Tiwari A., Department of Business and Management, CHRIST University, Delhi NCR, India; Mahajan S., Amity School of Engineering and Technology (ASET), Amity University, Haryana, Panchgaon, India; Tharewal S., School of Advanced Computing, DBS Global University, Uttarakhand, Dehradun, India