Dynamic load balancing in cloud a data-centric approach

Cloud Computing is the current trend and will be future era because of its advantages like pay per usage and on demand services. Load Balancing is a key aspect of Cloud Computing. It is the distribution of network or applications traffic across a number of servers. As the volume of data is increasing day by day the organizations will migrate from traditional computer system to the cloud based system. Since the processing of data is increasing on daily basis, balancing of load across the entire server is an important aspect. Some of the most commonly used existing load balancing algorithms are weighted least-connection, weighted round-robin, active clustering, and feedback-driven dynamic load balancing. They are classified as either static or dynamic. The existing methods are server-centric, i.e., while distributing load among servers, only server parameters (number of active connections, response time, geographic location, server capability etc.) are taken into consideration. However, statistics on the different types of content present on the internet, their percentage and usage suggest that it can be improved. We are proposing a dynamic load balancing algorithm which will assign load to the servers depending on the type of content it possesses.