Computational grids have the potential computing power for solving large-scale scientific computing applications. To improve the global throughput of these applications, workload has to be evenly distributed among the available computational resources in the grid environment. This paper addresses the problem of scheduling and load balancing in heterogeneous computational grids. We proposed a tw...

In this paper, we evaluate the performance of packet-based load balancing in data center networks (DCNs). Throughput and flow completion time are some of the main the metrics considered to evaluate the performance of the transport of flows over the presence of long flows in a DCN. Load balancing in a DCN may improve those metrics but it may also generate out-of-order packet forwarding. Therefor...

Although intensive work has been done in the area of load balancing, the measure of success of load balancing is the net execution time achieved by applying the load balancing algorithms. This paper deals with the problem of load balancing conditions of parallel and distributed applications. Parallel and distributed computers have multiple-CPU architecture, and in parallel system they have shar...

In ubiquitous networks, a lot of sensors and RFID readers will be connected to the networks as well as PCs and mobile phones are connected, and huge numbers of transactions are expected to be issued by these devices. Since the loads caused by the transactions are getting increased gradually, it is difficult for system manager to estimate the required performance. The scalable load balancing met...

Due to popularity of Cloud computing environment, the cloud computing users are increasing day by day and that has become one of the important challenge for the cloud providers in terms of load balancing. Load balancing distributes the traffic evenly over multiple paths. In this research work, we have proposed the Dynamic Improved PSO Load balancing algorithm and implement it over CloudSim tool...

Parallel Computational Science and Engineering (CSE) applications often exhibit irregular structure and dynamic load patterns. Many such applications have been developed using procedural languages (e.g. Fortran) in message passing parallel programming paradigm (e.g. MPI) for distributed memory machines. Incorporating dynamic load balancing techniques at the application-level involves significan...

The purpose of this paper is to survey the di erent issues regarding runtime load balancing for CFD related application. Di erent execution framework for parallel CFD application is possible. They di er by load balancing algorithm usage. Iterative static graph partition is one solution of this problem. Other solution is to do dynamic load balancing by data migration during runtime as initial ma...

This paper presents the results of an experimental study of load balancing using job initiation and process migration, carried out on Amoeba. The results indicate the need for a load balancing facility in a distributed system to improve system performance, e.g., the average response time of processes. A number of load balancing algorithms, including the bidding and neighbouring algorithms, have...

Deterministic dynamic nonlinear time-delay systems are developed to model load balancing in a cluster of computer nodes used for parallel computations. The model is shown to be self consistent in that the queue lengths cannot go negative and the total number of tasks in all the queues are conserved (i.e., load balancing can neither create nor lose tasks). Further, it is shown that using the pro...

This paper describes the model and implementation of a distributed direct execution simulation study of load balancing algorithms for a workstation-based locally distributed system. A general simulation system for load balancing algorithms is constructed on a local area network of DEC workstations, which directly executes the codes of the load balancing algorithms but simulates the underlying n...