Performance Management in Dynamic Computing Environments

In this paper we argue that the traditional approach to performance analysis needs to be revisited to be applicable in modern computing environments. The major reasons are the highly dynamic and changing QoS requirements, which require fast and proactive performance tuning activities and the interdependencies between user behaviour and system performance, which must be adequately covered in the workload modelling process. We argue for a paradigm shift towards performance management and will discuss the impacts on workload modelling and on performance analysis. Some initial results towards a performance management approach will be presented.

[1]  Giuseppe Serazzi,et al.  A workload model representative of static and dynamic characteristics , 1986, Acta Informatica.

[2]  Gabriele Anderst-Kotsis,et al.  A workload characterization methodology for WWW applications , 1997, PMCCN.

[3]  Giuseppe Serazzi,et al.  A Characterization of the Variation in Time of Workload Arrival Patterns , 1985, IEEE Transactions on Computers.

[4]  Kimberly C. Claffy,et al.  Web Traffic Characterization: An Assesment of the Impact of Caching Documents from NCSA's Web Server , 1995, Comput. Networks ISDN Syst..

[5]  Günter Haring,et al.  Hierarchical Approach to Building Generative Networkload Models , 1995, Comput. Networks ISDN Syst..

[6]  Bill Serra,et al.  People, Places, Things: Web Presence for the Real World , 2002, Mob. Networks Appl..

[7]  Elias Drakopoulos Enterprise network planning and design: methodology and application , 1999, Comput. Commun..

[8]  James E. Pitkow,et al.  Characterizing Browsing Strategies in the World-Wide Web , 1995, Comput. Networks ISDN Syst..

[9]  Mariacarla Calzarossa,et al.  System Performance with User Behavior Graphs , 1990, Perform. Evaluation.

[10]  Günter Haring,et al.  Generative networkload models for a single server environment , 1994, SIGMETRICS.

[11]  Domenico Ferrari,et al.  Workload charaterization and Selection in Computer Performance Measurement , 1972, Computer.

[12]  S. V. Raghavan,et al.  Predicting Behavior Patterns Using Adaptive Workload Models , 1999 .

[13]  Domenico Ferrari,et al.  Computer Systems Performance Evaluation , 1978 .

[14]  S. V. Raghavan,et al.  Generative workload models of Internet traffic , 1997, Proceedings of ICICS, 1997 International Conference on Information, Communications and Signal Processing. Theme: Trends in Information Systems Engineering and Wireless Multimedia Communications (Cat..

[15]  Alois Ferscha,et al.  Pro-active performance management of distributed applications , 1998, Proceedings. Sixth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.98TB100247).

[16]  Paul Barford,et al.  Generating representative Web workloads for network and server performance evaluation , 1998, SIGMETRICS '98/PERFORMANCE '98.

[17]  Helmut Hlavacs,et al.  Traffic Source Modeling , 2003 .

[18]  Mark Crovella,et al.  Characteristics of WWW Client-based Traces , 1995 .

[19]  Günter Haring,et al.  On Stochastic Models of Interactive Workloads , 1983, Performance.

[20]  Giuseppe Serazzi,et al.  Measurement and Tuning of Computer Systems , 1984, Int. CMG Conference.

[21]  Günter Haring,et al.  A hierarchical approach to workload characterization for parallel systems , 1995, HPCN Europe.

[22]  Giuseppe Serazzi,et al.  Workload Modeling for Computer Networks , 1988, ARCS.

[23]  Virgílio A. F. Almeida,et al.  Capacity Planning and Performance Modeling: From Mainframes to Client-Server Systems , 1994 .