Thursday 28th of March 2024
 

Cloud Load Balancing Techniques: A Step Towards Green Computing


Nidhi Jain Kansal and Inderveer Chana

Cloud computing is emerging as a new paradigm of large-scale distributed computing. It is a framework for enabling convenient, on-demand network access to a shared pool of computing resources. Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. It helps in optimal utilization of resources and hence in enhancing the performance of the system. The goal of load balancing is to minimize the resource consumption which will further reduce energy consumption and carbon emission rate that is the dire need of cloud computing. This determines the need of new metrics, energy consumption and carbon emission for energy-efficient load balancing in cloud computing. This paper discusses the existing load balancing techniques in cloud computing and further compares them based on various parameters like performance, scalability, associated overhead etc. that are considered in different techniques. It further discusses these techniques from energy consumption and carbon emission perspective.

Keywords: Cloud computing, Load balancing, Energy effïciency, Green computing

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ABOUT THE AUTHORS

Nidhi Jain Kansal
Received Bachelor Degree (Electronics) from Kurukshetra University, Haryana, India in 1997, and completed MCA in 2000 from Guru Jambheshwar University, Hisar, Haryana, India. At present, a Ph.D. Candidate in Computer Science & Engineering Department at Thapar University. Research interests lie in Cloud computing, Green Computing, Load balancing and Resource utilization techniques.

Inderveer Chana
Dr. Inderveer Chana completed her B.Tech in Computer Science (1997) and M.E. in Software Engineering from TIET (2002) and Ph.D. in Resource Management in Grid Computing from Thapar University, Patiala (2009) and has over thirteen years of teaching and research experience. She is working as Associate Professor in Computer Science and Engineering Department of Thapar University, Patiala. Her research interests include Grid computing, Cloud Computing and resource management challenges in Grids and Clouds. She has over 30 publications in International Journals and Conferences of repute. More than 20 Masters have been completed so far under her supervision and is currently supervising 9 Doctoral candidates in the area of Grid and Cloud Computing.


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