An Enhanced Cloud Network Load Balancing Approach Using Hierarchical Search Optimization Technique

Abstract

As one of the driving forces changing the way research and industry uses virtualization, distributed computing, internet, software and web services today, cloud computing stands tall. A cloud is an ecosystem of data centers, distributed servers, and clients all interconnected to each other. The unique selling point of a cloud is its reduced cost of ownership in comparison to traditional models. This primary advantage is complemented by fault tolerance, high availability opportunity, scalable and flexible structure, reduced infrastructure overheads for users, and services that can be accessed as and when required. One of the challenges that face cloud computing is load balancing. Load balancing assures optimum use of available resources, thereby, enabling consistency and performance of the overall system. An imbalance of load causes a single node or nodes to operate beyond its optimum levels. As a result, there could be either a gradual or a rapid loss in overall efficiency of the system leading to increase in emission rates and inefficient use of energy. In this paper, we have focused on resourceful load balancing coupled with a technique which reduces flooding. We have discussed how a combination of these is able to ensure efficient routing with reduced carbon emission.

Advancing Cloud Network Management with Smart Monitoring Technique

“…In their model, the authors introduced a weight-based approach for their algorithm to select optimum node availability based on path cost and channel availability. Their work complements research [7] conducted on load balancing on cloud networks using hierarchical search optimization. The work as presented in that paper is unique for two reasons.…”