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.

REFERENCES

• 1: D. A Menasce and M. Bennani, "ON THE USE OF PERFORMANCE MODELS TO DESIGN SELF-MANAGING COMPUTER SYSTEMS," Proc. Computer Measurement Group conf., Dec. 7--12, 2003
• 2: T. Tanaka, "Configurations of the Solar Wind Flow and Magnetic Field around the Planets with no Magnetic field: Calculation by a new MHD," Journal of Geophysical Research, pp. 17251--17262, Oct. 1993.
• 3: Mohamed N. Bennani , Daniel A. Menasce, Assessing the Robustness of Self-Managing Computer Systems under Highly Variable Workloads, Proceedings of the First International Conference on Autonomic Computing (ICAC'04), p.62-69, May 17-18, 2004

INDEX TERMS

Primary Classification:
  D. Software
  D.4 OPERATING SYSTEMS
      D.4.8 Performance

Additional Classification:
  K. Computing Milieux
  K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS
      K.6.4 System Management

General Terms:
Design, Experimentation, Management, Measurement, Performance