Cloud computing helps to share data and provide many resources to users. Users pay only for those resources as much they used. Cloud computing stores the data and distributed resources in the open environment. The amount of data storage increases quickly in open environment. So, load balancing is a main challenge in cloud environment. Load balancing is helped to distribute the dynamic workload ...

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...

Load balancing is a key technique for improving Internet performance. Effective use of load balancing requires good traffic distribution schemes. We study the performance of several hashing schemes for distributing traffic over multiple links while preserving the order of packets within a flow. Although hashing-based load balancing schemes have been proposed in the past, this is the first compr...

This paper addresses a dynamic load balancing method of domain decomposition for 3-dimensional Molecular Dynamics on parallel computers. In order to reduce interprocessor communication overhead, we are introducing a concept of permanent cells to the dynamic load balancing method. Molecular Dynamics simulations on a parallel computer T3E prove that the proposed method using load balancing much i...

This position paper presents the main goals of the Ellie project which have been to design and implement a general, powerful, fine-grained, object-oriented, programming language intended for machine independent programming of distributed memory parallel computers. The implementation includes operating system facilities for message routing and load balancing. The main subject of this paper is lo...

Load balancing allows to increase system throughput and to reduce application response time. However, when the computing system increases in scale, load balancing becomes very complex to manage and is time consuming. Moreover, actual load balancing mechanisms are not able to manage heterogeneity both in system architectures and application behaviors. To deal with such systems we propose to spli...

This paper deals with the problem of load balancing of parallel applications. Based on the study of recent work in the area, we propose a general taxonomy for describing and classifying the growing number of different load balancing techniques. This gives a thorough overview of different algorithms, helping designers to compare and choose the most suitable strategy for a given application. To i...

This paper deals with the load-balancing of machines in a real-world job-shop scheduling problem, with identical machines. The load-balancing algorithm allocates jobs, split into lots, on identical machines, with objectives to reduce job total throughput time and to improve machine utilization. A genetic algorithm is developed, whose fitness function evaluates the load-balancing in the generate...

The purpose of this paper is to present protocols for efficient load balancing across replicated multimedia servers in a Metropolitan Area Network. Current multimedia infrastructures, even when they use mirrored servers, do not have standardized load balancing schemes. Existing schemes frequently require participation from the clients in balancing the load across the servers efficiently. We pro...

This work describes SAMBA, a framework for the development of parallel SPMD applications with load balancing. SAMBA contains the structure common to different SPMD applications and a library of loadbalancing algorithms. This structure allows the developer to concentrate on the specific problem at hand. The load-balancing library makes easier the identification of the most appropriate strategy f...