Load balancing is one of the main challenges in cloud computing. It is a technique which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overloaded. Load balancing techniques help in optimal utilization of resources and hence in enhancing the...
In literature, sufficient works are being carried out to address load balancing problem in the cloud using traditional swarm intelligence techniques like ant colony optimization, particle swarm optimization, cuckoo search, bat optimization, and so on. But the traditional swarm intelligence techniques have...
Cloud computing has multiple benefits as well as it is also accompanied with certain serious technical loopholes. The proposed paper has focused on one such issue of load balancing. Load balancing is one of the main challenges in cloud computing. It is required to distribute the dynamic local ...
We explore and review various proposed methodologies and algorithms to solve various cloud computing problems like task scheduling and load balancing. We compare and contrast these paradigms to give an outline of the recent techniques in the domain....
Mukundha, C., Venkatesh, N., Akshay, K.: A comprehensive study report on load balancing techniques in cloud computing. Int. J. Eng. Res. Dev. 13(9), 35–42 (2017) 9. Kashyap, D., Viradiya, J.: A survey of various load balancing algorithms in cloud computing. Int. J. Sci. ...
Load unbalancing problem is a multi-variant, multi-constraint problem that degrades performance and efficiency of computing resources. Load balancing techniques cater the solution for load unbalancing situation for two undesirable facets- overloading and
Load balancing distributes traffic across multiple servers in order to reduce latency and improve server availability and reliability. When implemented successfully, the workload is shared among the servers to optimize performance and prevent server failure. Different load balancing techniques may be used...
Cloud load balancing algorithms are essential components of cloud computing environments because they assure optimal resource use. These algorithms are often divided into two categories: static and dynamic. Static algorithms In cloud computing, static load balancing techniques distribute traffic without consid...
Load balancing distributes traffic across multiple servers in order to reduce latency and improve server availability and reliability. When implemented successfully, the workload is shared among the servers to optimize performance and prevent server failure. Different load balancing techniques may be used...
K. (2015). An in-depth analysis and study of load balancing techniques in the cloud computing environment. Procedia Comput Sci, 50, 427–432. Article Google Scholar Kokilavani, T., & Amalarethinam, D. I. G. (2011). Load balanced min-min algorithm for static meta-task scheduling in...