LOAD BALANCING IN CLOUD COMPUTING: A SURVEY

Cloud computing is a computing paradigm in which dynamically scalable virtualized computing resources are provided as a service over the Internet. It can be viewed as a collection of computing and communication resources shared by active users. Scalability is a desirable attribute of a network, system, or process. Scalability refers to the ability to service large number of users. The increase in the demand for computing power increases the need for scalability of the system. This results in the fulfilment of the ever increasing user demands. Poor scalability results in poor performance of the system. An important factor that is central to scalability is load balancing. Load balancing is one of the main challenges in cloud computing. This is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. These techniques should minimize execution speeds and communication delay and maximize resource utilization and throughput. Research in this area has led into the development of algorithms called as load balancing algorithms. In this survey paper we present the performance analysis of various load balancing algorithms based on different parameters like efficient scheduling, in-time job completion. The two commonly used load balancing algorithms static and dynamic are discussed. The analysis indicates that both types of algorithms have their own advantages and disadvantages. Deciding the type of algorithm to be implemented to obtai