Resources form the basis of a Grid. Resource management and load balancing are the main areas of concern in a distributed, heterogeneous and dynamic environment like Grid. Load balancing may further cause Job migration or in some cases re-submission of Job. In this paper a number of job migration algorithms have been surveyed and studied which have resulted because of the Load balancing problem...

-This paper deals with dynamic load balancing using PVM. In distributed environment Load Balancing and Heterogeneity are very critical issues and needed to drill down in order to achieve the optimal results and efficiency. Various techniques are being used in order to distribute the load dynamically among different nodes and to deal with heterogeneity. These techniques are using different appro...

Cloud computing is the new emerging technology in the field of research and IT industries. So the demand for the computational power required by the business, web and scientific application are rapidly increased in recent past year. To fulfill this demand large scale data center are created which consume enormous amount of electric power. Energy consume by the data center can be reduced by mini...

In a previous paper, we developed an algebraic theory of threads, interleaving of threads, and interaction of threads with services. In the current paper, we assume that the threads and services are distributed over the nodes of a network. We extend the theory developed so far to the distributed case by introducing distributed interleaving strategies that support explicit thread migration and s...

Process migration is an useful mechanism to offer load balancing. In this context, we developed a model called MigBSP that controls processes rescheduling on BSP applications. MigBSP is especially pertinent to obtain performance on this type of applications, since they are composed by supersteps which always wait for the slowest process. In this paper, we focus on the BSP-based modeling of the ...

Resource migration in a distributed computer system can be performed for performance enhancement and we call this activity \load balancing with resource migration". We propose a general load balancing model with both job and resource migration and demonstrate how this model applies to the le migration problem in distributed databases. The intractability of this load balancing model suggests obt...

Cloud computing is a new paradigm for hosting and delivering services on demand over the internet where users access services. It is an example of an ultimately virtualized system, and a natural evolution for data centers that employ automated systems management, workload balancing, and virtualization technologies. Live virtual machine (VM) migration is a technique to achieve load balancing in ...

Abstract –– General–purpose programmers have come to expect a high degree of portability among widely varying architectures. Advances in run–time systems for parallel programs have been proposed in order to harness available resources as efficiently as possible. Simultaneously, advances in algorithmic ways of dynamically balancing computational load have been proposed in order to respond to var...

This paper presents a two-stage service migration decision method which combines business workload forecasting with real-time load sensing, and thus adds business forecasting to previous load balancing approaches that rely solely upon real-time load sensing. The migration decision procedure and the detailed causal analysis algorithms based on Bayesian networks are also given. After the critical...

Live virtual migration is a way for achieving system load balancing in a cloud environment by transferring an active VM from one physical host to another. This way has been developed to decrease the downtime for migrating overloaded VMs, but it still consumes timeand cost, and a huge amount of memory is involved in this migration process. To overcome these drawbacks, we propose a Load Balancing...