An incremental load balancing approach for heterogeneous distributed processing systems

Distributed computing is a high performance computing that solves complicated tasks and provides powerful computing abilities . The main purpose of distributed computing is to share the computational power, storage memory, and network resources to solve a large problem. Efficient resource management and job scheduling algorithms are two key issues in distributed computing environment. Design of an efficient strategy to achieve high performance in distributed computing environment is a challenging task. In this paper, we propose a new load balancing algorithm (NLBA) for heterogeneous distributed processing systems to balance and process the load among di fferent resources in a distributed environment. This algorithm follows a strategy to reduce the overall processing time of jobs and also improves the throughput of processes.