Sciweavers

Share
EUROPAR
2003
Springer

Dynamic Load Balancing for I/O- and Memory-Intensive Workload in clusters Using a Feedback Control Mechanism

9 years 4 months ago
Dynamic Load Balancing for I/O- and Memory-Intensive Workload in clusters Using a Feedback Control Mechanism
1 One common assumption of the existing models of load balancing is that the weights of resources and I/O buffer size are statically configured. Though the static configuration of these parameters performs well in a cluster where the workload can be predicted, its performance is poor in dynamic systems where the workload is unknown. In this paper, a new feedback control mechanism is proposed to improve the overall performance of a cluster with I/O-intensive and memory-intensive workload. The mechanism dynamically adjusts the resource weights as well as the I/O buffer size. Results from a trace-driven simulation show that this mechanism is effective in enhancing the performance of a number of existing load-balancing schemes.
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where EUROPAR
Authors Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
Comments (0)
books