Optimal Load-Balancing for Heterogeneous Clusters

Profile-Based Load Balancing for Heterogeneous Clusters

Cluster computing is becoming increasingly popular for providing cost-effective and affordable parallel computing for day-to-day computational needs [2, 11, 16]. Such environments consist of clusters of workstations connected by Local Area Networks (LANs). The possibility of the incremental expansion of clusters by incorporating new generations of computing nodes and networking technologies is ...

Load-Balancing Iterative Computations on Heterogeneous Clusters

Load Balancing between Heterogeneous Computing Clusters

More and more organizations have computing clusters located in different places. The distance between the computing clusters can be quite far away and the computing clusters can also differ in size. The load in one cluster may be very high while the other clusters may have nothing running on the system. A higher throughput can be achieved if load balancing is added. In this paper, we propose a ...

Static load-balancing techniques for iterative computations on heterogeneous clusters

This paper is devoted to static load balancing techniques for mapping iterative algorithms onto heterogeneous clusters. The application data is partitioned over the processors. At each iteration, independent calculations are carried out in parallel, and some communications take place. The question is to determine how to slice the application data into chunks, and to assign these chunks to the p...

Static Load-Balancing Techniques for Iterative Computation on Heterogeneous Clusters

This paper is devoted to static load balancing techniques for mapping iterative algorithms onto heterogeneous clusters. The application data is partitioned over the processors. At each iteration, independent calculations are carried out in parallel, and some communications take place. The question is to determine how to slice the application data into chunks, and to assign these chunks to the p...