Abstract
Service level agreements (SLAs) specify commitments between providers and users of services. Concerning quantitative aspects it is common to guarantee response times under a maximal load. Often simulation models are used to validate those guarantees. The SLA calculus offers an efficient technique to establish and validate quantitative aspects of service level agreements. Based on bounds for the load and response times of single services, bounds for the response times of composed services can be calculated. Additionally, the SLA calculus determines bounds for the service capacities which the provider needs in order to fulfill the service level agreements.
This paper describes the SLA Tool which supports the calculation of such bounds using results from \(\min \)/+-algebra. The tool consists of two parts: Octave functions, that implement the operators of the SLA calculus, and a graphical user interface (GUI) which facilitates their use also for users not familiar with the theory. In the following we concentrate on the user interface.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bause, F., Buchholz, P., May, J.: A tool supporting the analytical evaluation of service level agreements. In: Binder, W., Cortellessa, V., Koziolek, A., Smirni, E., Poess, M. (eds.) Proceedings 8th ACM/SPEC on International Conference on Performance Engineering, ICPE 2017, L’Aquila, Italy, 22–26 April 2017, pp. 233–244. ACM (2017)
Buchholz, P., Vastag, S.: Toward an analytical method for SLA validation. Softw. Syst. Model. (to appear)
Le Boudec, Jean-Yves, Thiran, Patrick (eds.): Network Calculus: A Theory of Deterministic Queuing Systems for the Internet. LNCS, vol. 2050. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-45318-0
Buchholz, P., Vastag, S.: An introduction to SLA calculus for the analytical validation of SLAs. Technical report, Informatik 4, TU Dortmund (2015). http://ls4-www.cs.tu-dortmund.de/download/buchholz/sla.pdf
Menascé, D.A.: Composing web services: a QoS view. IEEE Internet Comput. 8(6), 88–90 (2004)
Menascé, D.A.: Mapping service-level agreements in distributed applications. IEEE Internet Comput. 8(5), 100–102 (2004)
SLA TOOL. http://ls4-www.cs.tu-dortmund.de/cms/en/research/software/SLA_Tool/index.html
Vastag, S.: A calculus for SLA delay properties. In: Schmitt, J.B. (ed.) MMB&DFT 2012. LNCS, vol. 7201, pp. 76–90. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28540-0_6
Vastag, S.: Arrival and delay curve estimation for SLA calculus. In: Proceedings of the 2012 Winter Simulation Conference (WSC), Berlin, Germany, pp. 1–12 (2012)
Vastag, S.: SLA Calculus. Ph.D. thesis, Department of Computer Science, TU Dortmund (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Bause, F., Buchholz, P. (2018). SLA Tool. In: German, R., Hielscher, KS., Krieger, U. (eds) Measurement, Modelling and Evaluation of Computing Systems. MMB 2018. Lecture Notes in Computer Science(), vol 10740. Springer, Cham. https://doi.org/10.1007/978-3-319-74947-1_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-74947-1_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74946-4
Online ISBN: 978-3-319-74947-1
eBook Packages: Computer ScienceComputer Science (R0)