A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Lecture Notes in Computer Science
In this paper, we address the problem of effective management of parallel I/O in multiprogrammed cluster computing systems by using appropriate I/O scheduling strategies. The performance of I/O devices lags behind the performance of processors and network systems, resulting in I/O becoming the bottleneck in current systems. This gap is expected to increase in the future since I/O performance is limited by physical motion. Therefore, it is imperative that novel techniques for improving I/Odoi:10.1007/3-540-44864-0_23 fatcat:dqrgsh3s6bbbjasxtq333k6h7e