Computational Fluid Dynamics (CFD) applications are “highly parallelizable” and can be distributed across a cluster of computers. However, because computation time can vary with the distributed part (mesh), the system loads are unpredictable and processors can have widely different computation speeds. Load balancing (and thus computational efficiency) across a heterogeneous cluster of processor...

ÐLoad-balancing problems arise in many applications, but, most importantly, they play a special role in the operation of parallel and distributed computing systems. Load-balancing deals with partitioning a program into smaller tasks that can be executed concurrently and mapping each of these tasks to a computational resource such a processor (e.g., in a multiprocessor system) or a computer (e.g...

Software-Defined Networking (SDN), showcases a paradigm shift from traditional network towards a new era of Internet. Distributed controllers addresses hindrances like availability and scalability which fails to provide a dynamic mechanism for load balancing. Implementation of Dynamic load balancing safe guard the network from sudden traffic congestion which could be created by data spikes or l...

Grid computing or computational grid has become a vast research field in academics. It is a promising platform that provides resource sharing through multi-institutional virtual organizations for dynamic problem solving. Such platforms are much more cost-effective than traditional high performance computing systems. Due to the provision of scalability of resources, these days grid computing has...