I/O Processor Allocation for Mesh Cluster Computers

As cluster systems become increasingly popular, more and more parallel applications require need not only computing power but also significant I/O performance. However, the I/O subsystem has become the bottleneck of the overall system performance for years due to slower improvement of the second storage devices. In recent years parallel I/O has drawn an increasing attention as a promising approach to eliminate this bottleneck. To improve I/O efficiency of a cluster system computation tasks must be carefully assigned to processors, so that the communication overheads within the group the processors of the task, and those I/O traffics that connect processors of the task to I/O system are both optimized. Earlier processor allocation strategies considered the optimization of communication traffic or I/O traffic only. Since both the communication and I/O traffic can cause network contention, we develop a set of binary tree based algorithms to address the issues of both communication ...

• Type: Conference
• Year: 2005
• Where: ICPADS
• Authors: Pangfeng Liu, Chun-Chen Hsu, Jan-Jan Wu
• Keywords: I/O Efficiency, I/o Traffics, ICPADS 2005, Parallel I/o