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 The general rule is that high variability leads to wrong load balancing decisions taken with out-of-date information and difficult to correct in real-time during applications execution.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...

CD4+ T cells are subdivided into Th1 and Th2 cells. Their relative presence or activation is thought to have a regulatory effect on immune behaviour. Until recently, the relative suppression of Th1 cells by the relative increase of Th2 activities, was thought to be a main mechanism of keeping or restoring the balance in a diseased immune system. Nowadays, however, a specialised subset of regula...

Hadoop is a software framework that supports data intensive distributed application. Hadoop creates clusters of machine and coordinates the work among them. It include two major component, HDFS (Hadoop Distributed File System) and MapReduce. HDFS is designed to store large amount of data reliably and provide high availability of data to user application running at client. It creates multiple da...

P2P Grids could solve large-scale scientific problems by using geographically distributed heterogeneous resources. However, a number of major technical obstacles must be overcome before this potential can be realized. One critical problem to improve the effective utilization of P2P Grids is the efficient load balancing. This chapter addresses the above-mentioned problem by using a distributed l...

Load balancing is the process of improving the performance of a parallel and distributed system through a redistribution of load among the processors [1] [5]. 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 bot...

The FREEDM microgrid is a test bed for a smart grid integrated with Distributed Grid Intelligence (DGI) to efficiently manage the distribution and storage of renewable energy. Within the FREEDM system, DGI provides a unique way in applying distributed algorithms to achieve economically feasible and optimal utilization and storage of alternative energy sources in a distributed fashion. The FREED...

-----------------------------------------------------ABSTRACT----------------------------------------------------This paper proposes an algorithm based on Particle Swarm Optimization (PSO) for optimal network reconfiguration of a distribution system in the presence of Distributed Generators (DGs) and Shunt Capacitor Banks to balance the feeder loads and to eliminate overloading conditions. The ...

Computation of the eigenvalues of a symmetric tridiagonal matrix is a problem of great relevance. Many linear algebra libraries provide subroutines for solving it. But none of them is oriented to be executed in heterogeneous distributed memory multicomputers. In this work we focus on this kind of platforms. Two different load balancing schemes are presented and implemented. The experimental res...

This paper proposes a new mathematical model of modular multilevel converters for battery electric vehicles with space-vectors enabling a critical analysis of cell balancing for the battery management system. In particular, the requirements for power balancing and the actual number of degrees of freedom of the control are investigated. The paper shows that the traditional approach of cell balan...