Zhanwen Li
ABSTRACT
SEDA (Staged Event-Driven Architecture) is a middleware architecture designed to support massive concurrency demands of internet services. However, managing the resources manually to achieve high performance in such a computing system has proved difficult, time-consuming, error-prone and non-QoS-guaranteed. In this paper, we propose an adaptive control approach to automatic resource management and performance control for SEDA-based applications. This approach is based on a combination of a load balancing strategy and feedback auto-tune stages for global optimal performance. In addition, our control algorithms are able to automatically optimize the control parameters at runtime. The design has been built into a SEDA-based web sever and validated by benchmarking this web server. The experimental results demonstrate that our auto-tune design is able to yield superior adaptation performance for SEDA applications in dynamic working environments, achieving desired performance targets with simple control algorithms and automatic parameter tuning.
- Beltran V., Carrera D., et al.: Evaluation the scalability of java event-driven web servers. Proc. of International Conference on Parallel Processing (ICPP'04), IEEE. (2004) Google Scholar
Digital Library
- Benjamin C. Kuo and Golnaraghi F.: Automatic Control Systems (8th edition), Wiley, ISBN: 0471134767. (2002) Google ScholarDigital Library
- Chen H. and Mohapatra P.: Session-based overload control in QoS-aware Webservers. Proc. of IEEE INFOCOM2002, pages 516--524. (2002)Google Scholar
- Diao Y., Hellerstein J. L., et al.: Managing web server performance with autotune agents. IBM System journal Vol 42, No 1, pages 136--149. (2003) Google ScholarDigital Library
- Diao Y., Gandhi N., et al.: Using MIMO feedback control to enforce policies for interrelated metrics with application to the Apache Web server. Proc. of the Network Operations and Management Symposium, Florence, Italy. (2002)Google Scholar
- Diao Y., Hellerstein J. L., et al.: Optimizing quality of service using fuzzy control. Proc. of the 13th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management. Springer-Verlag, pages 42--53. (2002) Google ScholarDigital Library
- Liu X., Lui Sha, et al.: Online Response Time Optimization of Apache Web Server. Proc. of the 11th International Workshop on Quality of Service (IWQoS 2003), pages 461--478. (2003) Google ScholarDigital Library
- Lu C., Abdelzaher T. F., et al.: A feedback control architecture and design methodology for service delay guarantees in web servers. Technical Report CS-2001-06, University of Virginia, Department of Computer Science. (2001) Google ScholarDigital Library
- Menasce D. A. and F. Almeida V. A.: Capacity Planning for Web Services Metrics, Models, and Methods, Prentice Hall PTR Upper Saddle River, N.J. 07458, ISBN: 0-13-065903-7. (2002) Google ScholarDigital Library
- Hellerstein J. L., Diao Y., et al.: IBM Research Report: applying control theory to computing systems. Proc. of Computer Science RC23459 (W0412-008). (2004)Google Scholar
- Hellerstein J. L., Diao Y., et al.: Feedback control of computing systems, IEEE Press Wiley-Interscience, ISBN:0-471-26637-X. (2004) Google ScholarDigital Library
- Ljung, L.: System identification: theory for the user 2nd ed. Upper Saddle River, N. J: Prentice Hall, ISBN: 0136566952. (1999) Google ScholarDigital Library
- the MathWorks Inc: System Identification ToolboxGoogle Scholar
- SUN Microsystems INC. New I/O APIs. http://java.sun.com/j2se/1.4.2/docs/guide/nio. (2002)Google Scholar
- Oppenheim A. V., Schafer R. W., et al.: Discrete-time signal processing, Prentice Hall Signal Processing Series, ISBN: 0137549202. (1999). Google ScholarDigital Library
- Vivek S. Pai, Peter Druschel, et al. Flash: An efficient and portable Web server. Proc. of the USENIX 1999 Annual Technical Conference. (1999). Google ScholarDigital Library
- Welsh M.: NBIO: Nonblocking I/O for Java http://www.eecs.harvard.edu/~mdw/proj/java-nbio/Google Scholar
- Welsh M.: An architecture for highly concurrent, well-conditioned internet services (Thesis). Computer Science, University of California at Berkeley. (2002) Google ScholarDigital Library
- Welsh M. and Culler D.: Adaptive Overload Control for Busy Internet Servers. Proc. of the Fifth USENIX Symposium on Internet Technologies and Systems (2003) Google ScholarDigital Library
- Welsh M. and Culler D.: Virtualization considered harmful: OS design directions for well-conditioned Services. Proc. of the 8th Workshop on Hot Topics in Operating Systems (HotOS VIII). (2001) Google ScholarDigital Library
- Welsh M., Culler D., et al.: SEDA: An architecture for well-conditioned scalable internet services. Proc. of the 18th ACM Symposium on Operating Systems Principles, anff, Canada. (2001) Google ScholarDigital Library
- SPECweb99 Benchmark, Copyright © 1995 - 2006 Standard Performance Evaluation Corporation http://www.spec.org/web99/Google Scholar
Index Terms
- Auto-tune design and evaluation on staged event-driven architecture
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