An Ensemble Behavioural Approach for Optimised Content Load Balancing in Heterogeneous Web Servers

Abstract

In this advanced era, usage of PCs increases tremendously due to the ability to host websites so that it becomes powerful and high utilization of features using distributed models. Due to the continuous operation of servers, load balancing becomes one of the prominent issues in distributed systems. Load balancing among servers has acquired big acceptance and high popularity among high traffic in streamline networks. Managing balanced load among multiple servers ensures its availability, as it offers proxy servers, switching capabilities even in a low capability Pcs, with the provision of accessing resources through distributed systems through the internet, cloud computing, and clustered webservers. Webserver clusters are used to develop scalable services of the internet, using dispatcher a transparent connection among relay servers and cluster servers. There is a problem of evenly distributing tasks among web server clusters. It is essential to develop a consistent approach that handles load balancing in an optimized way in clustered web servers. This thesis aims to overwhelm issues in the distribution of loads by developing two different novel approaches in a distributed environment. newline