Title
Performance analysis of an admission controller for CPU- and I/O-intensive applications in self-managing computer systems
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 self-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 variability.
Year
DOI
Venue
2005
10.1145/1088446.1088450
Operating Systems Review
Keywords
Field
DocType
performance analysis,analytical model,o-intensive application,high variability,computer system,admission controller,self-manage computer system,high performance requirement,2-dimenssional markov chain model,high performance,performance model,self-managing computer system,complex computer system,markov chain,markov chain model,distributed system,storage system,complex system,system architecture
Control theory,Computer science,Computer data storage,Workload,Markov chain,Input/output,Bandwidth (signal processing),Systems architecture,Embedded system,Distributed computing
Journal
Volume
Issue
Citations 
39
4
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Mais Nijim114414.08
Tao Xie25978304.97
Xiao Qin31836125.69