Theoretical Analysis of Bio-Inspired Load Balancing Approach in Cloud Computing Environment

Cloud computing is one of the emerging technology in the field of IT industries. It enables to access IT related resources with the help of the high-speed network. It's become so popular in the IT industries because of their attractive features. Due to the popularity, demand for the cloud resources increases exponentially in the past few decades. To fulfill this demands numbers of datacenter is deployed which consume huge amount of energy. One of the main challenging issue for the provider is to utilize their hardware and software resources effectively with minimum response time. The performance of the system mainly depends on the server load. As the load on the server increases, performance of the cloud system leads to decreases. Hence, provider needs to balance the tradeoff between server load and performance. In order to deal with load balancing several loads balancing approach have been proposed in the past few decades. Bio-inspired approaches are also used to deal with the load imbalancing, resource allocation, performance optimization etc., because they provide the optimized solutions. In spite of the fact that it is not used in cloud computing to a more noteworthy degree, it is mainly used in data mining, networking, grid computing, pattern recognition etc. The paper gives a broad study of bio-inspired algorithms which are used to resolve various issues like load balancing, energy consumption, performance improvement etc.