This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisf...
Abstract—We generate and provide miniature synthetic benchmark clones for modern workloads to solve two pre-silicon design challenges, namely: 1) huge simulation time (weeks to m...
In parallel systems, similar jobs tend to arrive within bursty periods. This fact leads to the existence of the locality phenomenon, a persistent similarity between nearby jobs, in...
The use of feedback control techniques has been gaining importance in real-time scheduling as a means to provide predictable performance in the face of uncertain workload. In this ...
We present a study of six batch-pipelined scientific workloads that are candidates for execution on computational grids. Whereas other studies focus on the behavior of single app...
Douglas Thain, John Bent, Andrea C. Arpaci-Dusseau...