The dynamics of range formation are important for understanding and predicting species distributions. Here, we focus on a process that has thus far been overlooked in the context of range formation; the accumulation of mutation load. We find that mutation accumulation severely reduces the extent of a range across an environmental gradient, especially when dispersal is limited, growth rate is lo...

This paper proposed dynamic load balancing for Grid systems in order to quickly render information to consumer requests. The proposed algorithm is based on migration the requests from Registry to failover registry if there are overloaded at Registry or Registry is failed. The new point in this algorithm is that the tasks will be ordered in ready queue of Registry or failover registry depending ...

This paper presents a two-stage genetic mechanism for the migration-based load balance of virtual machine hosts (VMHs) in cloud computing. Previous methods usually assume this issue as job-assignment optimization problem and only consider current VMHs' loads; however, without considering loads VMHs after balancing, these can gain limited effectiveness real environments. In study, two genetic-ba...

With the advent of cloud computing in the arena of IT field energy consumption and service level agreement (SLA) violation emerge as a major problem, which reduces the profit of cloud service providers (CSP) and affect the cloud customers by fencing the reusability and scalability of the cloud data center services. This problem needs to be eradicate for the efficient resource provisioning in cl...

A cloud environment is one of the most shareable environments where multiple clients are connected to the common environment to access the services and the products. A cloud environment can be public or the private cloud.In such case, some approach is required to perform the effective scheduling and the resource allocation. The situation becomes critical when the cloud server is overloaded, in ...

Many scientific applications involve grids that lack a uniform underlying structure. These applications are often also dynamic in nature in that the grid structure significantly changes between successive phases of execution. In parallel computing environments, mesh adaptation of unstructured grids ti_rough selective refinemcnttcoarsening has proven to be an effective approach. However, achievi...

The purpose of this paper is to survey the di erent issues regarding runtime load balancing for CFD related application. Di erent execution framework for parallel CFD application is possible. They di er by load balancing algorithm usage. Iterative static graph partition is one solution of this problem. Other solution is to do dynamic load balancing by data migration during runtime as initial ma...

This paper presents the results of an experimental study of load balancing using job initiation and process migration, carried out on Amoeba. The results indicate the need for a load balancing facility in a distributed system to improve system performance, e.g., the average response time of processes. A number of load balancing algorithms, including the bidding and neighbouring algorithms, have...

Parallel Computational Science and Engineering (CSE) applications often exhibit irregular structure and dynamic load patterns. Many such applications have been developed using MPI. Incorporating dynamic load balancing techniques at the application-level involves significant changes to the design and structure of applications. On the other hand, traditional run-time systems for MPI do not suppor...

Inbreeding depression is a general phenomenon that is due mainly to recessive deleterious mutations, the so-called mutation load. It has been much studied theoretically. However, until very recently, population structure has not been taken into account, even though it can be an important factor in the evolution of populations. Population subdivision modifies the dynamics of deleterious mutation...