Load sharing strategies are aimed at reducing the average response time of tasks on a distributed system. In this paper, we study the problem of load sharing on a distributed memory system, and present a low overhead, hybrid algorithm which performs well both with heavy and light system load conditions. The solution we propose uses a fully distributed strategy when the system is heavy loaded, and a centralized one when part of the system become idle. The transition from one strategy to the other is automatically performed, so that there are no bottlenecks in the system. Both strategies are very lightweight and have very little overhead during both heavy and light load conditions. Also, they do not present instabilities under all load condit...
139 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1981.Distributed processor systems...
Abstract — In distributed computing system some nodes are very fast and some are slow and during the...
We propose an adaptive load balancing algorithm for heterogeneous distributed systems. The algorithm...
The average response time of tasks in a distributed system depends on the strategy by which workload...
Providing a tightly-coupled parallel system with support for load sharing poses some problems relate...
Abstract: Problem statement: Grid Computing is the fast growing industry, which shares the resources...
Little research has been performed to reduce communication overhead, associated with load state info...
We consider networks of workstations which are not only timesharing, but also heterogeneous with a l...
Load balancing in large parallel systems with distributed memory is a difficult task often influenci...
Due to the character of the original source materials and the nature of batch digitization, quality ...
In this paper, a new I/O-aware load-balancing scheme is presented to improve overall performance of ...
Distributed systems are gradually being accepted as the dominant computing paradigm of the future. H...
The study investigates various load balancing strategies to improve the performance of distributed c...
The overall efficiency of parallel algorithms is most decisively effected by the strategy applied fo...
A non-preemptive hybrid load balancing algorithm is proposed for heterogeneous distributed computing...
139 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1981.Distributed processor systems...
Abstract — In distributed computing system some nodes are very fast and some are slow and during the...
We propose an adaptive load balancing algorithm for heterogeneous distributed systems. The algorithm...
The average response time of tasks in a distributed system depends on the strategy by which workload...
Providing a tightly-coupled parallel system with support for load sharing poses some problems relate...
Abstract: Problem statement: Grid Computing is the fast growing industry, which shares the resources...
Little research has been performed to reduce communication overhead, associated with load state info...
We consider networks of workstations which are not only timesharing, but also heterogeneous with a l...
Load balancing in large parallel systems with distributed memory is a difficult task often influenci...
Due to the character of the original source materials and the nature of batch digitization, quality ...
In this paper, a new I/O-aware load-balancing scheme is presented to improve overall performance of ...
Distributed systems are gradually being accepted as the dominant computing paradigm of the future. H...
The study investigates various load balancing strategies to improve the performance of distributed c...
The overall efficiency of parallel algorithms is most decisively effected by the strategy applied fo...
A non-preemptive hybrid load balancing algorithm is proposed for heterogeneous distributed computing...
139 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1981.Distributed processor systems...
Abstract — In distributed computing system some nodes are very fast and some are slow and during the...
We propose an adaptive load balancing algorithm for heterogeneous distributed systems. The algorithm...