A COMPARATIVE STUDY OF LOAD BALANCING ALGORITHMS IN CLOUD COMPUTING

Current year, Cloud computing is an emerging concept which efficiently combining many fields of computing. Cloud Computing offers several services on-line to users like: storage, process power, networking, databases, servers, Virtual Servers with minimum cost and energy. Users can easily access these services from anywhere and anytime over wed. Companies providing these computing services referred to as cloud suppliers and usually charge for cloud computing services supported usage, kind of like however you are pay for water and electricity bill. Users can simply store and retrieve data, files by accessing to the database of cloud system. Due to the increased number of applications, the load on the cloud is also incremented. Load Balancing is main concern in environment of cloud networking. LB (load balancing) is a technique that spread load among the nodes in a system. The main purpose of load balancing is to utilize the resources and for the enhancement in the performance. Along with this, it removes the nodes that contain heavy data or load also the nodes that are not working well or perform a little bit of task. Several kinds of load such as PL (processor load), ML (memory load) and NL (network load). Every node in the network perform equal amount of work and it assigned a virtual machines to each of the nodes. The time consumption of each node is same as other nodes. The review provides a scientific study related to LB (load balancing) technique used in the field of cloud networking