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HIPC
2003
Springer

Dynamic Load Balancing for I/O-Intensive Tasks on Heterogeneous Clusters

9 years 8 months ago
Dynamic Load Balancing for I/O-Intensive Tasks on Heterogeneous Clusters
1 Since I/O-intensive tasks running on a heterogeneous cluster need a highly effective usage of global I/O resources, previous CPUor memory-centric load balancing schemes suffer significant performance drop under I/O-intensive workload due to the imbalance of I/O load. To solve this problem, we develop two I/O-aware load-balancing schemes, which consider system heterogeneity and migrate more I/O-intensive tasks from a node with high I/O utilization to those with low I/O utilization. If the workload is memory-intensive in nature, the new method applies a memory-based load balancing policy to assign the tasks. Likewise, when the workload becomes CPU-intensive, our scheme leverages a CPU-based policy as an efficient means to balance the system load. In doing so, the proposed approach maintains the same level of performance as the existing schemes when I/O load is low or well balanced. Results from a trace-driven simulation study show that, when a workload is I/Ointensive, the proposed ...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where HIPC
Authors Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
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