Perspective study on resource level load balancing in grid computing environments

Load Balancing and Resource Management are the challenging tasks in the Computing infrastructure. These two tasks are interdependent. Well defined computing infrastructure may reach through a Blue Print is called GRID. Even advance Resource Management algorithms may suffer due to improper load distribution among the available resources in the Grid environment. Load balancing algorithm plays important role in the resource management and also gives much impact in the performance point of view. Load balance is a mechanism which equally spreads the load. It minimizes the response time and improves the resource utilization rate. Resource utilization is a common basement to achieve the overall efficiency in the Grid environment. Rejection Rate is one of the important factors in identifying the performance of resource in the Grid environment. Static and dynamic load balancing also discussed in this paper. Both balancing methods are having pros and cons. For the discussion, two important factors have been considered here, Utilization and Rejection Rate. This paper gives survey on existing and emerging load balance techniques in the structured grid computing and also a comparison table is provided. Also discussions about existing solutions and making efforts in load balancing to address the new challenges in grid computing environments are made.