The implementation and testing of the mapping tool box has been successfully achieved during the last period. The work on mapping consists now mainly in integrating the mapping tool box with the rest of the Sepp environment. The undergoing integration is described in the last HPCTI report. In the framework of the Sepp project, partners of the task concentrated mainly on dynamic load balancing t...

In this paper we analyze the scalability of a number of load balancing algorithms which can be applied to problems that have the following characteristics : the work done by a processor can be partitioned into independent work pieces; the work pieces are of highly variable sizes; and it is not possible (or very diicult) to estimate the size of total work at a given processor. Such problems requ...

This paper introduces a new load balancing algorithms, called LDMA (Load balancing using Decentralized decision-making Mobile Agents) and WLDMA (WAN Load balancing using Decentralized decision making Mobile Agents) which distributes load among local and geographically distributed web servers connected in a mesh topology, by a communications network. The performance of LDMA is compared with MALD...

This work concerns the study of load balancing in the openMosix distributed operating system. The openMosix kernel was augmented with the means to gather performance data related to the operation of its load balancing policies. A performance baseline was established via a number of tests. The load balancing information exchange algorithm was modified in various ways. This study focuses on attem...

This paper presents the results of a load balancing study carried out on the distributed operating system Amoeba. The study is intended to investigate the e ectiveness of di erent load balancing methodologies on a workstation-based system, specifying job initiation vs. process migration. The results indicate that both methods can improve system performance, such as response time. The results al...

Load balancing involves assigning to each processor work proportional to its performance, thereby minimizing the execution time of a program. Although static load balancing can solve many problems (e.g., those caused by processor heterogeneity and nonuniform loops) for most regular applications, the transient external load due to multiple users on a network of workstations necessitates a dynami...

Cloud Computing shares data between cloud users over the internet and provides it to different resources. There are many challenges faced in cloud computing. The main one is Load balancing .Many researchers have been working on load balancing but still a lot of work has to be done to provide efficient & optimal load balancing method. In this dissertation we are proposing a new hybrid algorithm,...

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...

This study developed a load balancing early handoff scheme that enables transfer part of heavy load in a base station to the others using the overlap between base stations in wireless cellular networks. The proposed scheme reduces the new call blocking probability (CBP) and handoff call connection dropping probability (CDP) as well as to increase the resource utilization of wireless networks. S...

The workload on a cluster system can be highly variable, increasing the difficulty of balancing the load across its nodes. The general rule is that high variability leads to wrong load balancing decisions taken with out-of-date information and difficult to correct in real-time during applications execution. In this work the workload variability is studied from the perspective of the load balanc...