Load balancing plays an effective role on performance in cloud computing environment. Efficient load balancing makes cloud computing more efficient and improves performance of the entire system. In our existing system achieves load balancing with the help of load rebalancing algorithm using DHT protocol.But the existing solutions are not efficient for load balancing so that the various methods ...

Live migration of virtual hard disks between storage arrays has long been possible. However, there is a dearth of online tools to perform automated virtual disk placement and IO load balancing across multiple storage arrays. This problem is quite challenging because the performance of IO workloads depends heavily on their own characteristics and that of the underlying storage device. Moreover, ...

We give a general method for converting online algorithms to localcomputation algorithms, by selecting a random permutation of the input, andsimulating running the online algorithm. We bound the number of steps of thealgorithm using a query tree, which models the dependencies between queries.We improve previous analyses of query trees on graphs of bounded degree, andextend t...

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...

Optimal channel assignment (CA) in Multi-Radio Wireless Mesh Networks is an NP-Hard problem for which solutions usually leave several links interfering. Most of these solutions usually consider the overall throughput as the main optimization objective. However, other objectives have to be considered in order to provide better quality wireless connections to non stationary users. In this paper, ...

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...