DocumentCode :
1998857
Title :
Towards Self-Predicting Systems: What If You Could Ask "What-If"?
Author :
Thereska, Eno ; Narayanan, Dushyanth ; Ganger, Gregory R.
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA
fYear :
2005
fDate :
26-26 Aug. 2005
Firstpage :
196
Lastpage :
200
Abstract :
Today, management and tuning questions are approached using if...then... rules of thumb. This reactive approach requires expertise regarding of system behavior, making it difficult to deal with unforeseen uses of a system´s resources and leading to system unpredictability and large system management overheads. We propose a what...if... approach that allows interactive exploration of the effects of system changes, thus converting complex tuning problem into simpler search problems. Through two concrete management problems, automating system upgrades and deciding on service migrations, we identify system design changes that enable a system to answer what...if... questions about itself
Keywords :
distributed processing; search problems; systems analysis; concrete management problem; if-then thumb rules; search problems; self-predicting systems; service migrations; system design changes; system management; system upgrade automation; tuning problem; what-if approach; Amplitude shift keying; Concrete; Costs; Delay; Hardware; Resource management; Search problems; Throughput; Thumb; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
Conference_Location :
Copenhagen
ISSN :
1529-4188
Print_ISBN :
0-7695-2424-9
Type :
conf
DOI :
10.1109/DEXA.2005.191
Filename :
1508272
Link To Document :
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