Dynamic load balancing in multicomputers can improve the utilization of processors and the eeciency of parallel computations through migrating workload across processors at runtime. We present a survey and critique of dynamic load balancing strategies that are iterative: workload migration is carried out through transferring processes across nearest neighbor processors. Iterative strategies hav...

Accurate soft tissue balancing during total knee arthroplasty has a direct effect on patellofemoral tracking and knee range of motion. Numerous instruments and methods are available to balance knee prostheses. The eLIBRA Dynamic Knee Balancing System (Synvasive Technology, Inc, Reno, Nevada) is an electronic device that establishes femoral component rotation using ligamentous tone. The eLIBRA i...

| Runtime Incremental Parallel Scheduling (RIPS) is an alternative strategy to the commonly used dynamic scheduling. In this scheduling strategy, the system scheduling activity alternates with the underlying computation work. RIPS utilizes the advanced parallel scheduling technique to produce a low-overhead, high-quality load balancing, as well as adapting to irregular applications. This paper ...

In structured chord & P Grid systems finding the successor nodes, Load balancing and dynamic routing are the challenging issues because nodes are heterogeneous and dynamically nodes may join the network or old node may release from network. We present a general framework, HiGLOB, for global load balancing in structured Chord systems. Current load balancing, finding optimized node and dynamic ro...

The process of load balancing increases the performance of cloud based services. Cloud based service provide hardware, software and platform as service. For the balancing of public cloud used two types of approach one is traditional approach and other is dynamic approach. The traditional approach follows the concept of CPU scheduling technique such as round robin and first come first service. T...

A novel neural-based solution to the problem of dynamic load balancing in homogeneous distributed systems is proposed. The winner-Take-All (WTA) neural network model is used for implementing the selection and location policies of a typical dynamic load balancing algorithm. Unlike most of the previous literature that assumed independent tasks, which is not always true, tasks with interprocess co...

Load balancing is the process of improving the performance of a peer to peer networks through a redistribution of load among the processors. In this paper we present the performance analysis of various load balancing algorithms based on different parameters, considering two typical load balancing approaches static and dynamic. The analysis indicates that static and dynamic both types of algorit...

Is process migration useful for load balancing? We present experimental results indicating that the answer to this question depends largely on the characteristics of the applied workload. Experiments with our Shiva system, which supports remote execution and process migration, show that only those CPU-bound workloads which were generated using an unrealistic exponential distribution for executi...

Evolutionary algorithms provide mechanisms that can achieve efficient exploration for design spaces. This way, they constitute an efficient tool for identifying the best alternatives to implement the solution of a certain problem. In this work we apply the genetic algorithms to the field of distributed load balancing in parallel computers. We have classified and parameterized the different dist...

In cloud computing the major problem area is fault tolerance. When many clients request the server simultaneously, server is overloaded which causes fault. In our approach the load balancing technique is used to avoid fault. There are various fault tolerance techniques in existing cloud computing. They are self healing, job migration, static load balancing and replication. There are some drawba...