DocumentCode :
3239424
Title :
Multivariate Resource Performance Forecasting in the Network Weather Service
Author :
Swany, Martin ; Wolski, Rich
Author_Institution :
University of California at Santa Barbara
fYear :
2002
fDate :
16-22 Nov. 2002
Firstpage :
11
Lastpage :
11
Abstract :
This paper describes a new technique in the Network Weather Service for producing multi-variate forecasts. The new technique uses the NWS’s univariate forecasters and emprically gathered Cumulative Distribution Functions (CDFs) to make predictions from correlated measurement streams. Experimental results are shown in which throughput is predicted for long TCP/IP transfers from short NWS network probes.
Keywords :
Bandwidth; History; Instruments; Intelligent networks; Monitoring; Particle measurements; Probes; TCPIP; Throughput; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Supercomputing, ACM/IEEE 2002 Conference
ISSN :
1063-9535
Print_ISBN :
0-7695-1524-X
Type :
conf
DOI :
10.1109/SC.2002.10039
Filename :
1592847
Link To Document :
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