A Review on Load Balancing Evolution in Cloud Computing

Authors

  • Saswat Misra Department of Computer Engineering, KIIT AS University, Bhubaneshwar 751024, Odisha, India.

Keywords:

Cloud computing‎, Load balancing‎, Load balancing strategies‎

Abstract

Cloud computing is basically an on-demand service provider that provides services on a large scale. To provide services on a large scale, a large number of servers are interconnected with each other. As technology evolves, providing a smooth and efficient transfer of data and services is necessary. It is where a load balancer comes into play; it distributes the incoming traffic amongst multiple other servers to offer a smooth and efficient transfer of services. But there is a downside to load balancing. Although it provides a smooth transfer of data and resources, it becomes a challenge due to the geographical conditions of widely spread data across the globe. This paper will thoroughly explore the advantages and disadvantages of various load-balancing strategies, providing a comprehensive understanding of how load balancing operates. By the end of this paper, we'll also conclude whether using a load balancer will help us in cloud computing.    

References

‎[1] ‎Pham, X. Q., Nguyen, T. D., Huynh, T., Huh, E.-N., & Kim, D.-S. (2023). Distributed cloud computing: ‎architecture, enabling technologies, and open challenges. IEEE consumer electronics magazine, 12(3), 98–‎‎106. DOI:10.1109/MCE.2022.3192132‎

‎[2] ‎Mohapatra, H. (2021). Socio-technical challenges in the implementation of smart city. 2021 international ‎conference on innovation and intelligence for informatics, computing, and technologies (3ICT) (pp. 57–62). IEEE. ‎DOI: 10.1109/3ICT53449.2021.9581905‎

‎[3] ‎Cui, Z., Cui, P., Hu, Y., Lan, J., Dong, F., Gu, Y., & Hou, S. (2021). Closer: scalable load balancing ‎mechanism for cloud datacenters. China communications, 18(4), 198–212. DOI:10.23919/JCC.2021.04.015‎

‎[4] ‎Mohapatra, H., & Rath, A. K. (2020). Nub less sensor based smart water tap for preventing water loss at ‎public stand posts. 2020 IEEE microwave theory and techniques in wireless communications (MTTW) (Vol. 1, ‎pp. 145–150). IEEE. DOI: 10.1109/MTTW51045.2020.9244926‎

‎[5] ‎Kalafatidis, S., & Mamatas, L. (2022). Microservices-adaptive software-defined load balancing for 5G and ‎beyond ecosystems. IEEE network, 36(6), 46–53. DOI:10.1109/MNET.004.2100333‎

‎[6] ‎Mohapatra, H., & Rath, A. K. (2020). Fault-tolerant mechanism for wireless sensor network. IET wireless ‎sensor systems, 10(1), 23–30. https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/iet-‎wss.2019.0106‎

‎[7] ‎Rehman, M. A. U., ud din, M., Mastorakis, S., & Kim, B.-S. (2023). Foggyedge: an information-centric ‎computation offloading and management framework for edge-based vehicular fog computing. IEEE ‎intelligent transportation systems magazine, 15(5), 78–90. DOI:10.1109/MITS.2023.3268046‎

‎[8] ‎Mohapatra, H., & Rath, A. K. (2019). Fault tolerance in WSN through PE-LEACH protocol. IET wireless ‎sensor systems, 9(6), 358–365. https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/iet-‎wss.2018.5229‎

‎[9] ‎Xie, R., Tang, Q., Qiao, S., Zhu, H., Yu, F. R., & Huang, T. (2021). When Serverless computing meets edge ‎computing: architecture, challenges, and open issues. IEEE wireless communications, 28(5), 126–133. ‎DOI:10.1109/MWC.001.2000466‎

‎[10] ‎Mohapatra, H., & Rath, A. K. (2019). Detection and avoidance of water loss through municipality taps in ‎India by using smart taps and ICT. IET wireless sensor systems, 9(6), 447–457. ‎https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/iet-wss.2019.0081‎

‎[11] ‎Chen, L., DeJana, R., & Nassar, T. (2021). Sharing enterprise cloud securely at IBM. IT professional, 23(1), ‎‎67–71. DOI:10.1109/MITP.2020.2977029‎

‎[12] ‎Mohapatra, H., & Rath, A. K. (2020). Survey on fault tolerance-based clustering evolution in WSN. IET ‎networks, 9(4), 145–155. https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/iet-net.2019.0155‎

Published

2024-07-16

How to Cite

A Review on Load Balancing Evolution in Cloud Computing. (2024). Smart City Insights, 1(1), 43-50. https://sci.reapress.com/journal/article/view/24