Skip to main content

About Monitoring in a Service World

  • Conference paper
  • First Online:
Book cover Smart Cities, Green Technologies, and Intelligent Transport Systems (VEHITS 2016, SMARTGREENS 2016)

Abstract

Monitoring of services is becoming more and more common to ensure the quality of applications and to provide the required level of service. Nowadays, the technology needed for supporting monitoring and, as a consequence, also monitoring data are widely available. On the other hand, new challenges and research issues arise concerning the design of the monitoring infrastructure, to provide the relevant information both to users and service providers, and their use, and in particular the analysis of monitored data. This paper discusses the main aspects of monitoring, and the use of monitoring data, focusing on event identification and the evaluation of the actions and resources needed to maintain the required level of quality of service. Research challenges related to modeling and using monitoring data are discussed.

B. Pernici—The present paper presents an extended view from the keynote presentation of the author at SmartGreens 2016.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.cloudera.com/documentation/enterprise/5-6-x/topics/cm_metrics.html.

  2. 2.

    https://aws.amazon.com/it/cloudwatch/.

  3. 3.

    http://cloudmonix.com.

  4. 4.

    http://www.slideshare.net/martinciupa/data-center-maturity-model-white-paperfinalv2.

References

  1. Aceto, G., Botta, A., de Donato, W., Pescapè, A.: Cloud monitoring: a survey. Comput. Netw. 57(9), 2093–2115 (2013). doi:10.1016/j.comnet.2013.04.001

    Article  Google Scholar 

  2. Andrikopoulos, V., Bucchiarone, A., Nitto, E., Kazhamiakin, R., Lane, S., Mazza, V., Richardson, I.: Service engineering. In: Papazoglou, M.P., Pohl, K., Parkin, M., Metzger, A. (eds.) Service Research Challenges and Solutions. LNCS, vol. 6500, pp. 271–337. Springer, Heidelberg (2010). doi:10.1007/978-3-642-17599-2_8

    Chapter  Google Scholar 

  3. Ardagna, D., Comuzzi, M., Mussi, E., Pernici, B., Plebani, P.: PAWS: a framework for executing adaptive web-service processes. IEEE Softw. 24(6), 39–46 (2007). http://dx.doi.org/10.1109/MS.2007.174

    Article  Google Scholar 

  4. Arnone, D., Rossi, A., Melodia, E., Mammina, M., Jenkins, S.: Improving energy awareness integrating persuasive game, feedback, and social interaction into the novel ener-scape application. Int. J. Adv. Intell. Syst. 8(3&4), 437–447 (2015)

    Google Scholar 

  5. Barton, T., Seel, C.: Business process as a service - status and architecture. In: Enterprise Modelling and Information Systems Architectures - EMISA 2014, Luxembourg, 25–26 September 2014, pp. 145–158 (2014). http://subs.emis.de/LNI/Proceedings/Proceedings234/article12.html

  6. Batini, C., Scannapieco, M.: Data and Information Quality. Springer International Publishing, Switzerland (2016)

    Google Scholar 

  7. Bianchini, D., De Antonellis, V., Pernici, B., Plebani, P.: Ontology-based methodology for e-service discovery. Inf. Syst. 31(4–5), 361–380 (2006). doi:10.1016/j.is.2005.02.010

    Article  Google Scholar 

  8. Cabrera, O., Franch, X.: A quality model for analysing web service monitoring tools. In: 2012 Sixth International Conference on Research Challenges in Information Science (RCIS), pp. 1–12, May 2012

    Google Scholar 

  9. Cappiello, C., Datre, S., Fugini, M., Melia, P., Pernici, B., Plebani, P., Gienger, M., Tenschert, A.: Monitoring and assessing energy consumption and CO\({}_{\text{2}}\) emissions in cloud-based systems. In: 2013 IEEE International Conference on Systems, Man, and Cybernetics, pp. 127–132, October 2013

    Google Scholar 

  10. Cappiello, C., Ho, T.T.N., Pernici, B., Plebani, P., Vitali, M.: CO\({}_{\text{2 }}\)-aware adaptation strategies for cloud applications. IEEE Trans. Cloud Comput. 4(2), 152–165 (2016). doi:10.1109/TCC.2015.2464796

    Article  Google Scholar 

  11. Cappiello, C., Plebani, P., Vitali, M.: Energy-aware process design optimization. In: 2013 International Conference on Cloud and Green Computing, Karlsruhe, Germany, 30 September–2 October 2013, pp. 451–458. IEEE Computer Society (2013). doi:10.1109/CGC.2013.77

  12. Fadda, E., Plebani, P., Vitali, M.: Optimizing monitorability of multi-cloud applications. In: Nurcan, S., Soffer, P., Bajec, M., Eder, J. (eds.) CAiSE 2016. LNCS, vol. 9694, pp. 411–426. Springer, Cham (2016). doi:10.1007/978-3-319-39696-5_25

    Google Scholar 

  13. ISO/IEC: ISO/IEC 9126–1 Software Engineering. Product Quality - Part 1: Quality model (2001)

    Google Scholar 

  14. Kritikos, K., Pernici, B., Plebani, P., Cappiello, C., Comuzzi, M., Benrernou, S., Brandic, I., Kertész, A., Parkin, M., Carro, M.: A survey on service quality description. ACM Comput. Surv. 46(1), 1:1–1:58 (2013). http://doi.acm.org/10.1145/2522968.2522969

  15. Mell, P., Grance, T.: The NIST Definition of Cloud Computing. Technical report, NIST, National Institute of Standards and Technology, U.S. Department of Commerce (2011)

    Google Scholar 

  16. Mello Ferreira, A., Pernici, B.: Managing the complex data center environment: an integrated energy-aware framework. Computing 98(7), 709–749 (2016). doi:10.1007/s00607-014-0405-x

    Article  MathSciNet  Google Scholar 

  17. Ferreira, A.M., Pernici, B., Plebani, P.: Green performance indicators aggregation through composed weighting system. In: Auweter, A., Kranzlmüller, D., Tahamtan, A., Tjoa, A.M. (eds.) ICT-GLOW 2012. LNCS, vol. 7453, pp. 79–93. Springer, Heidelberg (2012). doi:10.1007/978-3-642-32606-6_7

    Chapter  Google Scholar 

  18. Pernici, B., et al.: Setting energy efficiency goals in data centers: the GAMES approach. In: Huusko, J., Meer, H., Klingert, S., Somov, A. (eds.) E2DC 2012. LNCS, vol. 7396, pp. 1–12. Springer, Heidelberg (2012). doi:10.1007/978-3-642-33645-4_1

    Chapter  Google Scholar 

  19. Reichert, M., Weber, B.: Enabling Flexibility in Process-Aware Information Systems - Challenges, Methods, Technologies. Springer, Heidelberg (2012)

    Book  MATH  Google Scholar 

  20. S-Cube Team: S-Cube Network of Excellence final report. Technical report (2012). http://www.s-cube-network.eu/final-report.pdf

  21. Seely, S., Lauzon, D. (eds.): WS-I Monitor Tool Functional Specification v 1.1 (2005). http://www.ws-i.org/Testing/Specs/MonitorFunctionalSpecification_Final_1.1.pdf

  22. Vitali, M., Pernici, B.: A survey on energy efficiency in information systems. Int. J. Cooperative Inf. Syst. 23(3) (2014). doi:10.1142/S0218843014500014

  23. Vitali, M., Pernici, B.: PiE - Processes in Events: interconnections in ambient assisted living. In: Ciuciu, I., Panetto, H., Debruyne, C., Aubry, A., Bollen, P., Valencia-García, R., Mishra, A., Fensel, A., Ferri, F. (eds.) OTM 2015. LNCS, vol. 9416, pp. 157–166. Springer, Cham (2015). doi:10.1007/978-3-319-26138-6_19

    Chapter  Google Scholar 

  24. Vitali, M., Pernici, B., O’Reilly, U.: Learning a goal-oriented model for energy efficient adaptive applications in data centers. Inf. Sci. 319, 152–170 (2015). doi:10.1016/j.ins.2015.01.023

    Article  Google Scholar 

  25. Wand, Y., Wang, R.Y.: Anchoring data quality dimensions in ontological foundations. Commun. ACM 39(11), 86–95 (1996). http://doi.acm.org/10.1145/240455.240479

    Article  Google Scholar 

Download references

Acknowledgements

This work was partially developed within the European COST Action IC 1304 Autonomous Control for a Reliable Internet of Services (ACROSS) and partially supported by the Lombardy Region within the Sistema innovativo di Big Data Analytics project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Barbara Pernici .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Pernici, B., Plebani, P., Vitali, M. (2017). About Monitoring in a Service World. In: Helfert, M., Klein, C., Donnellan, B., Gusikhin, O. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. VEHITS SMARTGREENS 2016 2016. Communications in Computer and Information Science, vol 738. Springer, Cham. https://doi.org/10.1007/978-3-319-63712-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63712-9_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63711-2

  • Online ISBN: 978-3-319-63712-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics