Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Self-adaptation for Sustainable Software and Its Application in Current Approaches - An SLR

  • Conference paper
  • First Online:
Quality of Information and Communications Technology (QUATIC 2024)

Abstract

The role of sustainable approaches has never been as important as it is today, especially with the rising concerns of climate change. Since software is everywhere, sustainability is a key aspect also for software systems. In recent years, the software engineering community is considering more and more the reduction of the overall energy consumption as a key goal for software systems during their execution. To address sustainability from the software engineering perspective, various approaches have been proposed, self-adaptation being one of them. Self-adaptation enables software to be context-aware and self-aware, hence, to change its functioning and performance based on the current execution conditions. From the sustainability point of view, self-adaptation ensures flexibility and efficiency in resource and energy management, for example based on current energy sources, energy consumers, tasks to be executed, and user expectations. In this research, we perform a systematic literature review (SLR) on (1) the use of self-adaptation for achieving sustainability, and (2) the existing approaches in various application domains. Identified studies show that self-adaptation is an effective approach to reach sustainability, mainly reflected in the key abilities of ensuring performance, efficient resource management, and adaptability.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
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

Similar content being viewed by others

Notes

  1. 1.

    https://docs.google.com/spreadsheets/d/1K0TicPcOQXKZC-tdXH1N6C1fupPeB-qq/edit?usp=sharing&ouid=104274783440284037753&rtpof=true&sd=trueGoogleDrive.

References

  1. Andrikopoulos, V., Boza, R., Perales, C., Lago, P.: Sustainability in software architecture: a systematic mapping study. In: Callicó, G.M., Hebig, R., Wortmann, A. (eds.) 48th Euromicro Conference on Software Engineering and Advanced Applications, pp. 426–433 (2022). https://doi.org/10.1109/SEAA56994.2022.00073

  2. Becker, C., et al.: Sustainability design and software: The karlskrona manifesto. In: 37th International Conference on Software Engineering, pp. 467–476 (2015). https://doi.org/10.1109/ICSE.2015.179

  3. Bergen, A., Desmarais, R., Ganti, S., Stege, U.: Towards software-adaptive green computing based on server power consumption. In: 3rd International Workshop on Green and Sustainable Software, pp. 9–16 (2014). https://doi.org/10.1145/2593743.2593745

  4. Betz, S., Caporale, T.: Sustainable software system engineering. In: 4th International Conference on Big Data and Cloud Computing, pp. 612–619 (2014). https://doi.org/10.1109/BDCloud.2014.113

  5. Calero, C., et al.: 5ws of green and sustainable software. Tsinghua Sci. Technol. 25(3), 401–414 (2020). https://doi.org/10.26599/TST.2019.9010006

    Article  Google Scholar 

  6. Dustdar, S., et al.: A roadmap towards sustainable self-aware service systems. In: ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, pp. 10–19 (2010). https://doi.org/10.1145/1808984.1808986

  7. Fierro, G.: Self-Adapting Software for Cyberphysical Systems. Ph.D. thesis, EECS Department, University of California, Berkeley (2021). http://www2.eecs.berkeley.edu/Pubs/TechRpts/2021/EECS-2021-159.html

  8. Ganek, A.G., Corbi, T.A.: The dawning of the autonomic computing era. IBM Syst. J. 42(1), 5–18 (2003). https://doi.org/10.1147/sj.421.0005

    Article  Google Scholar 

  9. Gerostathopoulos, I., Raibulet, C., Lago, P.: Expressing the adaptation intent as a sustainability goal. In: International Conference on Software Engineering: New Ideas and Emerging Results, pp. 36–40 (2022). https://doi.org/10.1145/3510455.3512776

  10. Gianluigi, V.R.B.G.: The goal question metric paradigm: The goal question metric approach. Encycl. Softw. Eng. 1, 528–532 (1994)

    Google Scholar 

  11. Hidaka, S., et al.: Design and engineering of adaptive software systems, pp. 1–33 (2019). https://doi.org/10.1007/978-981-13-2185-6_1

  12. Johann, T., Dick, M., Kern, E., Naumann, S.: Sustainable development, sustainable software, and sustainable software engineering: an integrated approach. In: 2011 International Symposium on Humanities, Science and Engineering Research, pp. 34–39 (2011). https://doi.org/10.1109/SHUSER.2011.6008495

  13. Kitchenham, B., Pearl Brereton, O., Budgen, D., Turner, M., Bailey, J., Linkman, S.: Systematic literature reviews in software engineering - a systematic literature review. Inf. Softw. Technol. 51(1), 7–15 (2009). https://doi.org/10.1016/j.infsof.2008.09.009

    Article  Google Scholar 

  14. Kumar, S., Chen, T., Bahsoon, R., Buyya, R.: Datesso: self-adapting service composition with debt-aware two levels constraint reasoning. In: 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, pp. 96–107 (2020). https://doi.org/10.1145/3387939.3391604

  15. Lago, P., Greefhorst, D., Woods, E.: Architecting for sustainability. In: Wohlgemuth, V., Naumann, S., Arndt, H., Behrens, G., Höb, M. (eds.) 36th International Conference on Informatics for Environmental Protection. LNI, vol. P-328, pp. 199–210 (2022). https://dl.gi.de/20.500.12116/39397

  16. Macías-Escrivá, F.D., Haber, R., del Toro, R., Hernandez, V.: Self-adaptive systems: a survey of current approaches, research challenges and applications. Expert Syst. Appl. 40(18), 7267–7279 (2013). https://doi.org/10.1016/j.eswa.2013.07.033

    Article  Google Scholar 

  17. Masciadri, L., Raibulet, C.: Frameworks for the development of adaptive systems: evaluation of their adaptability feature through software metrics. In: 4th International Conference on Software Engineering Advances, ICSEA 2009, pp. 309–312 (2009). https://doi.org/10.1109/ICSEA.2009.51

  18. Michanan, J., Dewri, R., Rutherford, M.J.: Greenc5: an adaptive, energy-aware collection for green software development. Sustain. Comput. Inf. Syst. 13, 42–60 (2017). https://doi.org/10.1016/j.suscom.2016.11.004

    Article  Google Scholar 

  19. Moghaddam, A.: Self-adaptation for energy efficiency in software systems. Ph.D. thesis, University of Amsterdam (2019)

    Google Scholar 

  20. Moghaddam, F.A., Simaremare, M., Lago, P., Grosso, P.: A self-adaptive framework for enhancing energy efficiency in mobile applications. In: 2017 Sustainable Internet and ICT for Sustainability (SustainIT), pp. 1–3 (2017). https://doi.org/10.23919/SustainIT.2017.8379811

  21. Moghaddam, F.A., Lago, P., Ban, I.C.: Self-adaptation approaches for energy efficiency: a systematic literature review. In: 6th International Workshop on Green and Sustainable Software, pp. 35–42 (2018). https://doi.org/10.1145/3194078.3194084

  22. Perez-Palacin, D., Mirandola, R., Merseguer, J.: Enhancing a QoS-based self-adaptive framework with energy management capabilities. In: 7th International Conference on the Quality of Software Architectures and 2nd International Symposium on Architecting Critical Systems, pp. 165–170 (2011). https://doi.org/10.1145/2000259.2000287

  23. Petersen, K., Feldt, R., Mujtaba, S., Mattsson, M.: Systematic mapping studies in software engineering. In: 12th International Conference on Evaluation and Assessment in Software Engineering, pp. 68–77 (2008)

    Google Scholar 

  24. Raibulet, C., Fontana, F.A., Carettoni, S.: A preliminary analysis of self-adaptive systems according to different issues. Software Qual. J. 28(3), 1213–1243 (2020). https://doi.org/10.1007/s11219-020-09502-5

    Article  Google Scholar 

  25. Restrepo, L., Aguilar, J., Toro, M., Suescún, E.: A sustainable-development approach for self-adaptive cyber-physical system’s life cycle: a systematic mapping study. J. Syst. Softw. 180, 111010 (2021). https://doi.org/10.1016/j.jss.2021.111010

    Article  Google Scholar 

  26. Salama, M., Bahsoon, R., Bencomo, N.: Chapter 11 - managing trade-offs in self-adaptive software architectures: a systematic mapping study. In: Mistrik, I., Ali, N., Kazman, R., Grundy, J., Schmerl, B. (eds.) Managing Trade-Offs in Adaptable Software Architectures, pp. 249–297. Morgan Kaufmann, Boston (2017). https://doi.org/10.1016/B978-0-12-802855-1.00011-3

  27. Salehie, M., Tahvildari, L.: Self-adaptive software: Landscape and research challenges. ACM Trans. Auton. Adapt. Syst. 4(2), 14:1–14:42 (2009). https://doi.org/10.1145/1516533.1516538

  28. Weyns, D.: An Introduction to Self-adaptive Systems: A Contemporary Software Engineering Perspective (2020)

    Google Scholar 

  29. Weyns, D., et al.: Preliminary results of a survey on the use of self-adaptation in industry. In: 17h Symposium on Software Engineering for Adaptive and Self-Managing Systems, pp. 70–76 (2022). https://doi.org/10.1145/3524844.3528077

  30. Weyns, D., et al.: Self-adaptation in industry: a survey. ACM Trans. Auton. Adapt. Syst. 18(2), 5:1–5:44 (2023). https://doi.org/10.1145/3589227

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Claudia Raibulet .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Raibulet, C., Fu, Q. (2024). Self-adaptation for Sustainable Software and Its Application in Current Approaches - An SLR. In: Bertolino, A., Pascoal Faria, J., Lago, P., Semini, L. (eds) Quality of Information and Communications Technology. QUATIC 2024. Communications in Computer and Information Science, vol 2178. Springer, Cham. https://doi.org/10.1007/978-3-031-70245-7_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-70245-7_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-70244-0

  • Online ISBN: 978-3-031-70245-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics