1. Bard, Y., & Shatzoff, M. (1978). Statistical methods in computer performance analysis. In K. M. Chandy & R. T.-Y. Yeh (Eds.), Current trends in programming methodology vol. III: Software modeling (pp. 1–51). New Jersey, Englewood Cliffs: Prentice-Hall.
2. Box, G. E. P., Jenkins, G. M., Reinsel, G. C., & Ljung, G. M. (2015). Time series analysis: Forecasting and control. Wiley Series in Probability and Statistics (5th ed., cited on p. 336). Hoboken, New Jersey: Wiley.
3. Brosig, F., Kounev, S., & Krogmann, K. (2009). Automated extraction of Palladio component models from running enterprise Java applications. In Proceedings of the Fourth International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2009)—ROSSA 2009 Workshop, Pisa. Brussels/New York, NY: ICST/ACM.
4. Casale, G., Cremonesi, P., & Turrin, R. (2007). How to select significant workloads in performance models. In Proceedings of the 33rd International Computer Measurement Group Conference (CMG 2007), San Diego, CA.
5. Casale, G., Cremonesi, P., & Turrin, R. (2008). Robust workload estimation in queueing network performance models. In Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008), Toulouse (pp. 183–187). Piscataway, New Jersey: IEEE.