Large parallel machines with hundreds of thousands of processors are being built. Ensuring good load balance is critical for scaling certain classes of parallel applications on even thousands of processors. Centralized load balancing algorithms suffer from scalability problems, especially on machines with relatively small amount of memory. Fully distributed load balancing algorithms, on the oth...

While load balancing techniques have been designed and evaluated for efficient resource utilization in cloud computing, achieving energy efficiency as a consequence of load balancing often does not get direct attention. In this paper we describe two load balancing algorithms that focus on balancing workload distribution among physical hosts in the cloud infrastructure. The test results presente...

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...

The application of reconfigurable computing technology to solve high performance computing problems has received increasing attention in recent years. N-body problems such as Molecular Dynamics simulations are common candidates for such studies. The ability to perform dynamic load-balancing offers the potential of improving performance, but the implementation of hardware architectures implement...

Load balancing is a critical factor in achieving optimal performance in parallel applications where tasks are created in a dynamic fashion. In many computations , such as state space search problems, tasks have priorities, and solutions to the computation may be achieved more eeciently if these priorities are adhered to in the parallel execution of the tasks. For such tasks, a load balancing sc...

-This paper deals with dynamic load balancing using PVM. In distributed environment Load Balancing and Heterogeneity are very critical issues and needed to drill down in order to achieve the optimal results and efficiency. Various techniques are being used in order to distribute the load dynamically among different nodes and to deal with heterogeneity. These techniques are using different appro...

Data load balancing is a challenging task in the P2P systems. Distributed hash table (DHT) abstraction, heterogeneous nodes, and non uniform distribution of objects are the reasons to cause load imbalance in structured P2P overlay networks. Previous works solved the load balancing problem by assuming the homogeneous capabilities of nodes, unawareness of the link latency during transferring load...

The authors compare the perJbrmances of five dynamic loadbalancing strategies. The simulator they ’ue developed lets them measure these performances across a range of network topologies, including a 20 mesh, a 4 0 hypercube, a linear array, and a composite Fibonacci cube. multiprocessor network without load balancing processes processor-generated tasks locally with little or no sharing of compu...

In 3G cellular networks, high data-rates can be achieved. However, fundamental capacity limitation still exists. Call requests are frequently blocked in hotspot areas. Load balancing among cells helps to solve this problem and to utilize the radio resources. However, existing load balancing schemes are not designed specifically for 3G networks. Some schemes are not flexible enough or even pract...

In modern days parallel and distributed computing is one of the greatest platform for research and innovation in the field of computer science. Rapid growth of communication network and need to solve large scale problem, complexity and efficiency of the system as a whole is the key issue. Load balancing is one of the most important problem in attaining high performance in parallel and distribut...