Efciency of batch processing is becoming increasingly important for many modern commercial service centers, e.g., clusters and cloud computing datacenters. However, periodical resource contentions have become the major performance obstacles for concurrently running applications on mainstream CMP servers. I/O contention is such a kind of obstacle, which may impede both the co-running performance of batch jobs and the system throughput seriously. In this paper, a dynamic I/O-aware scheduling algor... 

【文章來源】：Journal of Computer Science & Technology. 2014,29(01)EISCICSCD

【文章頁數(shù)】：17 頁


本文編號：3612526