Paper Info
Title
Integrating A Performance Model In Self-Managing Computer Systems Under Mixed Workload Conditions
Abstract
With rapid advances in processing power, network bandwidth, and storage capacity, computer systems are increasingly becoming extremely complex. Consequently, it becomes expensive and difficult for human beings to manually manage complex computer systems. This problem can be effectively tackled by se managing computer systems, which are intended to meet high performance requirements in a dynamic computing environment. In this paper, we develop a performance model for self-manage computer systems under dynamic workload conditions, where both CPU- and I/O-intensive applications are running in the systems. In particular, we design in this paper a 2-dimenssional Markov chain model with two different arrival and service rate of CPU- and I/O-intensive jobs. Importantly, two serving probabilities with respect to CPU- and I/O intensive jobs are derived. To validate the analytical model, we developed an adaptive admission controller in which the model is incorporated. Experimental results demonstratively show that the controller is capable of achieving high performance for computer systems under workloads exhibiting high variabilities.
Year
DOI
Venue
2005
10.1109/IRI-05.2005.1506462
PROCEEDINGS OF THE 2005 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION
Keywords
Field
DocType
markov processes,2 dimensional,distributed processing,markov chain model
Control theory,Markov process,Workload,Computer science,Markov chain,Real-time computing,Bandwidth (signal processing),Performance model
Conference
Citations 
PageRank 
References 
1
0.35
9
Authors
3
Name
Order
Citations
PageRank
Mais Nijim114414.08
Tao Xie25978304.97
Xiao Qin31836125.69