@conference {17535,
	title = {Predicting the CPU availability of time-shared Unix systems on the computational grid},
	booktitle = {The Eighth International Symposium on High Performance Distributed Computing, 1999. Proceedings},
	year = {1999},
	month = {1999///},
	pages = {105 - 112},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Focuses on the problem of making short- and medium-term forecasts of CPU availability on time-shared Unix systems. We evaluate the accuracy with which availability can be measured using the Unix load average, the Unix utility {\textquotedblleft}vmstat{\textquotedblright} and the Network Weather Service (NWS) CPU sensor that uses both. We also examine the autocorrelation between successive CPU measurements to determine their degree of self-similarity. While our observations show a long-range autocorrelation dependence, we demonstrate how this dependence manifests itself in the short- and medium-term predictability of the CPU resources in our study},
	keywords = {accuracy, Application software, Autocorrelation, Availability, Central Processing Unit, computational grid, correlation methods, CPU availability prediction, CPU resources predictability, CPU sensor, Dynamic scheduling, grid computing, Load forecasting, long-range autocorrelation dependence, medium-term forecasts, network operating systems, Network Weather Service, NWS, performance evaluation, self-similarity degree, short-term forecasts, successive CPU measurements, Time measurement, Time sharing computer systems, time-shared Unix systems, time-sharing systems, Unix, Unix load average, vmstat utility, Weather forecasting},
	isbn = {0-7803-5681-0},
	doi = {10.1109/HPDC.1999.805288},
	author = {Wolski,R. and Spring, Neil and Hayes,J.}
}
