Title :
Predicting the CPU availability of time-shared Unix systems on the computational grid
Author :
Wolski, Rich ; Spring, Neil ; Hayes, Jim
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 “vmstat” 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 :
Unix; correlation methods; network operating systems; performance evaluation; time-sharing systems; CPU availability prediction; CPU resources predictability; CPU sensor; NWS; Network Weather Service; Unix load average; accuracy; computational grid; long-range autocorrelation dependence; medium-term forecasts; self-similarity degree; short-term forecasts; successive CPU measurements; time-shared Unix systems; vmstat utility; Application software; Autocorrelation; Availability; Central Processing Unit; Dynamic scheduling; Grid computing; Load forecasting; Time measurement; Time sharing computer systems; Weather forecasting;
Conference_Titel :
High Performance Distributed Computing, 1999. Proceedings. The Eighth International Symposium on
Conference_Location :
Redondo Beach, CA
Print_ISBN :
0-7803-5681-0
DOI :
10.1109/HPDC.1999.805288