An Analysis of Idle CPU Cycles at University Computer Labs

Hwang, Suntae; Jeong, Karpjoo; Im, Eun-Jin; Woo, Chongwoo; Hahn, Kwang-Soo; Kim, Moon-Hae; Lee, Sangsan

doi:10.1007/3-540-44839-x_77

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2004

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“…Third, PCs that do not have owners or valuable data are much less sensitive to the privacy issue that other computing resources. Finally, students' PC usage patterns are more regular and predictable than usage patterns of other computing resources because class schedules and school administration schedules which are often repeatable and predictable determine students' activities in schools to a large extent [5].…”

Section: Introductionmentioning

confidence: 99%

An Idle Compute Cycle Prediction Service for Computational Grids

Hwang

Jeong

et al. 2004

Computational Science - ICCS 2004

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The utilization of idle compute cycles has been known as most promising and cost-effective way to build a large scale high performance computing system, but not widely used because of the lack of effective idleness prediction techniques. In this paper, we argue PCs at university computer labs have a great potential for the utilization of idle CPU cycles, and propose two techniques for predicting idle cycles of those PCs: heuristic and statistical. Based on these techniques, we present the design and implementation of an idle compute cycle prediction service for computational grids. Our experimental results show that the utilization of idle compute cycles is a viable approach to cost-effective large scale computational grids.

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Section: Introductionmentioning

confidence: 99%