Abstract
The performance of any type of system cannot be determined without knowing the workload, that is, the requests being processed. Workload characterization consists of a description of the workload by means of quantitative parameters and functions; the objective is to derive a model able to show, capture, and reproduce the behavior of the workload and its most important features.
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References
A.K. Agrawala and J.M. Mohr. A Markovian Model of a Job. In Proc. CPEUG, pages 119–126, 1978.
A.K. Agrawala, J.M. Mohr, and R.M. Bryant. An Approach to the Workload Characterization Problem. Computer, pages 18–32, 1976.
G.M. Amdahl. Validity of the Single-processor Approach to Achieving Large Scale Computing Capabilities. In Proc. AFIPS Conf., volume 30, pages 483–485, 1967.
M.F. Arlitt and C.L. Williamson. Web Server Workload Characterization: The Search for Invariants. In Proc. ACM SIGMETRICS Conf., pages 126–137, 1996.
M. Baker, J. Hartman, M. Kupfer, K. Shirriff, and J. Ousterhout. Measurements of a Distributed File System. In Proc. ACM Symposium on Operating Systems Principles, pages 198–212, 1991.
J. Beran. Statistical Methods for Data with Long-range Dependence. Statistical Science, 7(4):404–427, 1992.
R.R. Bodnarchuk and R.B. Bunt. A Synthetic Workload Model for a Distributed System File Server. In Proc. ACM SIGMETRICS Conf., pages 50–59, 1991.
M. Calzarossa, G. Haring, and G. Serazzi. Workload Modeling for Computer Networks. In U. Kastens and F.J. Ramming, editors, Architekture und Betrieb von Rechensystemen, pages 324–339. Springer-Verlag, 1988.
M. Calzarossa, L. Massari, and D. Tessera. Performance Issues of an HPF-like compiler. Future Generation Computer Systems, 1999.
M. Calzarossa and G. Serazzi. A Characterization of the Variation in Time of Workload Arrival Patterns. IEEE Trans. on Computers, C-34(2):156–162, 1985.
M. Calzarossa and G. Serazzi. Workload Characterization: a Survey. Proc. of the IEEE, 8(81):1136–1150, 1993.
B.M. Carlson, T.D. Wagner, L.W. Dowdy, and P.H. Worley. Speedup Properties of Phases in the Execution Profile of Distributed Parallel Programs. In R. Pooley and J. Hillston, editors, Modelling Techniques and Tools for Computer Performance Evaluation, pages 83–95. Antony Rowe, 1992.
M. Colajanni, P.S. Yu, and D.M. Dias. Analysis of Task Assignment Policies in Scalable Distributed Web-server System. IEEE Trans. on Parallel and Distributed Systems, 9(6), 1998.
M.E. Crovella and A. Bestavros. Self-similarity in World Wide Web Traffic: Evidence and Possible Causes. In Proc. ACM SIGMETRICS Conf., pages 160–169, 1996.
C.R. Cunha, A. Bestavros, and M.E. Crovella. Characteristics of WWW Clientbased Traces. Technical Report BU-CS-95-010, Computer Science Dept., Boston University, 1995.
J. Dilley, R. Friedrich, T. Jin, and J. Rolia. Web Server Performance Measurement and Modeling Techniques. Performance Evaluation, 33(1):5–26, 1998.
D.G. Feitelson and L. Rudolph. Metrics and Benchmarking for Parallel Job Scheduling. In D.G. Feitelson and L. Rudolph, editors, Job Scheduling Strategies for Parallel Processing, volume 1459 of Lecture Notes in Computer Science, pages 1–24. Springer, 1998.
D. Ferrari. Workload Characterization and Selection in Computer Performance Measurement. Computer, 5(4):18–24, 1972.
D. Ferrari. On the Foundations of Artificial Workload Design. In Proc. ACM SIGMETRICS Conf., pages 8–14, 1984.
D. Ghosal, G. Serazzi, and S.K. Tripathi. The Processor Working Set and its Use in Scheduling Multiprocessor Systems. IEEE Trans. on Software Engineering, SE-17(5):443–453, 1991.
S.D. Gribble, G.S. Manku, D. Rosselli, E.A. Brewer, T.J. Gibson, and E.L. Miller. Self-similarity in File Systems. In Proc. ACM SIGMETRICS Conf., pages 141–150, 1998.
R. Gusella. A Measurement Study of Diskless Workstation Traffic on an Ethernet. IEEE Trans. on Communications, COM-38(9):1557–1568, 1990.
G. Haring. On Stochastic Models of Interactive Workloads. In A.K. Agrawala and S.K. Tripathi, editors, PERFORMANCE’ 83, pages 133–152. North-Holland, 1983.
M.T. Heath, A.D. Malony, and D.T. Rover. Parallel Performance Visualization: from Practice to Theory. IEEE Parallel and Distributed Technology, 3(4):44–60, 1995.
R. Hofmann, R. Klar, B. Mohr, A. Quick, and M. Siegle. Distributed Performance Monitoring: Methods, Tools, and Applications. IEEE Trans. on Parallel and Distributed Systems, 5(6):585–598, 1994.
R. Jain and S.A. Routhier. Packet Trains-Measurements and a New Model for Computer Network Traffic. IEEE Journal on Selected Areas in Communications, SAC-4(6):986–995, 1986.
J.L. Jerkins and J.L. Wang. Cell-level Measurement Analysis of Individual ATM Connections. Workshop on Workload Characterization in High-Performance Computing Environments, 1998. http://sokrates.ani.univie.ac.at/~gabi/wlc.mascots.
T. Le Blanc, J. Mellor-Crummey, and R. Fowler. Analyzing Parallel Program Executions Using Multiple Views. Journal of Parallel and Distributed Computing, 9(2):203–217, 1990.
W.E. Leland, M.S. Taqqu, W. Willinger, and D.V. Wilson. On the Self-similar Nature of Ethernet Traffic (Extended Version). IEEE/ACM Trans. on Networking, 2(1):1–15, 1994.
P.A. Lewis and G.S. Shedler. Statistical Analysis of Non-stationary Series of Events in a Data Base System. IBM Journal on Research and Development, 20:465–482, 1976.
B.A. Mah. An Empirical Model of HTTP Network Traffic. In Proc. IEEE InfoCom’ 97, 1997.
S. Majumdar, D. Eager, and R. Bunt. Characterization of Programs for Scheduling in Multiprogrammed Parallel Systems. Performance Evaluation, 13(2):109–130, 1991.
B.B. Mandelbrot and J.W. Van Ness. Fractional Brownian Motions, Fractional Noises and Applications. SIAM Review, 10:422–437, 1968.
A. Merlo and P.H. Worley. Analyzing PICL trace data with MEDEA. In G. Haring and G. Kotsis, editors, Computer Performance Evaluation, volume 794 of Lecture Notes in Computer Science, pages 445–464. Springer-Verlag, 1994.
N. Nieuwejaar, D. Kotz, A. Purakayastha, C. Ellis, and M. Best. File-access Characteristics of Parallel Scientific Workloads. IEEE Trans. on Parallel and Distributed Systems, 7(10):1075–1088, 1996.
V. Paxson. Growth Trends in Wide-area TCP Connections. IEEE Network, 8(4):8–17, 1994.
V. Paxson and S. Floyd. Wide-area Traffic: The Failure of Poisson Modeling. IEEE/ACM Trans. on Networking, 3(3):226–244, 1995.
S.V. Raghavan, P.J. Joseph, and G. Haring. Workload Models for Multiwindow Distributed Environments. In H. Beilner and F. Bause, editors, Quantitative Evaluation of Computing and Communication Systems, pages 314–326. Springer, 1995.
S.V. Raghavan, D. Vasukiammaiyar, and G. Haring. Generative Networkload Models for a Single Server Environment. In Proc. ACM SIGMETRICS Conf., pages 118–127, 1994.
E. Rosti, G. Serazzi, E. Smirni, and M. Squillante. The Impact of I/O on Program Behavior and Parallel Scheduling. In Proc. ACM SIGMETRICS Conf., pages 56–65, 1998.
G. Serazzi. A Functional and Resource-oriented Procedure for Workload Modeling. In F.J. Kylstra, editor, PERFORMANCE’ 81, pages 345–361. North-Holland, 1981.
K. Sevcik. Characterization of Parallelism in Applications and Their Use in Scheduling. In Proc. ACM SIGMETRICS Conf., pages 171–180, 1989.
K.C. Sevcik. Application Scheduling and Processor Allocation in Multiprogrammed Parallel Processing Systems. Performance Evaluation, 19:107–140, 1994.
J.F. Shoch and J.A. Hupp. Measured Performance of an Ethernet Local Network. Communications of the ACM, 23(12):711–721, 1980.
E. Smirni and D. Reed. Lessons from characterizing the input/output behavior of parallel scientific applications. Performance Evaluation, 33(1):27–44, 1998.
K. Sreenivasan and A.J. Kleinman. On the Construction of a Representative Synthetic Workload. Communications of the ACM, 17(3):127–133, 1974.
D. Tessera, M. Calzarossa, and A. Malagoli. Performance Analysis of a Parallel Hydrodynamic Application. In A. Tentner, editor, High Performance Computing, pages 33–38. SCS Press, 1998.
A. Waheed and J. Yan. Workload Characterization of CFD Applications Using Partial Differential Equation Solvers. Workshop on Workload Characterization in High-Performance Computing Environments, 1998. http://sokrates.ani.univie.ac.at/~gabi/wlc.mascots.
W. Willinger, M.S. Taqqu, R. Sherman, and D.V. Wilson. Self-similarity Through High-variability: Statistical Analysis of Ethernet LAN Traffic at the Source Level. In Proc. ACM SIGCOMM Conf., pages 100–113, 1995.
M. Zhou and A.J. Smith. Tracing Windows95. Technical Report, Computer Science Division, UC Berkeley, November 1998.
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Calzarossa, M., Massari, L., Tessera, D. (2000). Workload Characterization Issues and Methodologies. In: Haring, G., Lindemann, C., Reiser, M. (eds) Performance Evaluation: Origins and Directions. Lecture Notes in Computer Science, vol 1769. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46506-5_20
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