An Analysis of Idle CPU Cycles at University Computer Labs [chapter]

Suntae Hwang, Karpjoo Jeong, Eunjin Im, Chongwoo Woo, Kwang-Soo Hahn, Moonhae Kim, Sangsan Lee
2003 Lecture Notes in Computer Science  
Grid computing has a great potential for grand challenge scientific problems such as Molecular Simulation, High Energy Physics and Genome Informatics. Exploiting under-utilized resources is crucial for a cost-effective, large-scale grid computing platform (i.e., computational grid), but there has been little research work on how to predict what resources will be under-loaded in the near future. In this paper, we analyze idle CPU cycles of PCs at university computer labs and present techniques
more » ... r predicting idle cycles to be efficiently scheduled for parallel/distributed computing. Our experiments with eight month monitoring data show that the accuracy of our prediction techniques is over 85%. Especially, the ratio of critical failure, which predicts that what is actually busy be idle, was only 3.2% out of total subject PCs during the experimental period.
doi:10.1007/3-540-44839-x_77 fatcat:nf6zdzvvynczzobk54lwz3cxsm