Smart Resource Optimization and Load Distribution in Cloud Computing

E. Sai Koteswarao, G. Poorna Chandu, N. Kathirvel

2025

Abstract

Cloud computing is a concept that incorporates virtualization, distributed computing, networking, software, and web services. A cloud infrastructure consists of various components such as clients, data centers, and distributed servers. Key advantages include fault tolerance, high availability, scalability, flexibility, reduced user overhead, and cost-efficiency, along with on-demand services. At the core of these benefits is the design of an efficient load balancing algorithm. The load could refer to CPU usage, memory, delay, or network load. Load balancing is the process of distributing computational tasks among multiple nodes in a distributed system to maximize resource utilization and minimize response times. It prevents some nodes from being overloaded while others remain idle, ensuring an even workload distribution. The objective is to allow all processors or nodes to handle approximately the same amount of work at any given time. Load balancing techniques are broadly classified into three categories: sender-initiated, receiver-initiated, and hybrid methods that combine both approaches. The goal is to develop an efficient load balancing algorithm that optimizes performance factors such as latency and throughput, adapting to different cloud environments and application requirements.

Paper Citation

in Harvard Style

Koteswarao E., Chandu G. and Kathirvel N. (2025). Smart Resource Optimization and Load Distribution in Cloud Computing. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 143-148. DOI: 10.5220/0013893400004919

in Bibtex Style

@conference{icrdicct`2525,
author={E. Koteswarao and G. Chandu and N. Kathirvel},
title={Smart Resource Optimization and Load Distribution in Cloud Computing},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={143-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013893400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Smart Resource Optimization and Load Distribution in Cloud Computing
SN - 978-989-758-777-1
AU - Koteswarao E.
AU - Chandu G.
AU - Kathirvel N.
PY - 2025
SP - 143
EP - 148
DO - 10.5220/0013893400004919
PB - SciTePress