Skip to main content
SpringerLink
Log in

Self-aware Computing Systems: Related Concepts and Research Areas

  • Chapter
  • First Online:
Self-Aware Computing Systems

Abstract

Self-aware computing systems exhibit a number of characteristics (e.g., autonomy, social ability, and proactivity) which have already been studied in different research areas, such as artificial intelligence, organic computing, or autonomic and self-adaptive systems. This chapter provides an overview of strongly related concepts and areas of study from the perspective of self-aware computing systems.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 31st International Conference on Software Engineering, ICSE 2009. IEEE, 2009.

    Google Scholar 

  2. Jesper Andersson, Luciano Baresi, Nelly Bencomo, Rogério de Lemos, Alessandra Gorla, Paola Inverardi, and Thomas Vogel. Software engineering processes for self-adaptive systems. In Software Engineering for Self-Adaptive Systems II - International Seminar, Dagstuhl Castle, Germany, October 24-29, 2010 Revised Selected and Invited Papers, pages 51–75, 2010.

    Google Scholar 

  3. Dan Ariely. Predictably irrational the hidden forces that shape our decisions. Harper Collins, New York, 2010.

    Google Scholar 

  4. W. Ross Ashby. Principles of the self-organizing system. In Principles of SelfOrganization: Transactions of the University of Illinois Symposium.

    Google Scholar 

  5. M. Autili, P. Inverardi, and M. Tivoli. Automated synthesis of service choreographies. Software, IEEE, 32(1):50–57, Jan 2015.

    Google Scholar 

  6. S. Banbury and S. Tremblay. A cognitive approach to situation awareness: Theory and application. Aldershot, UK: Ashgate Publishing, 2004.

    Google Scholar 

  7. Luciano Baresi and Carlo Ghezzi. The disappearing boundary between development-time and run-time. In Proceedings of the Workshop on Future of Software Engineering Research, FoSER 2010, at the 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2010, pages 17–22, 2010.

    Google Scholar 

  8. K.L. Bellman and C. Landauer. A web of reflection processes may help to de-conflict and integrate simultaneous self-optimization. In SAOS 2014: The 2nd International Workshop on Self-optimisation in Organic and Autonomic Computing Systems.

    Google Scholar 

  9. K.L. Bellman and C. Landauer. Towards an integration science. Journal of Mathematical Analysis and Applications, 249(1):3–31, 2000.

    Google Scholar 

  10. K.L. Bellman, C. Landauer, and P.R. Nelson. Developing mechanisms for determining “good enough” in sort systems. In Second IEEE Workshop on Self-Organizing Real Time Systems, 2011.

    Google Scholar 

  11. K.L. Bellman, C. Landauer, and P.R. Nelson. chapter System Engineering for Organic Computing: The Challenge of Shared Design and Control between OC Systems and their Human Engineers, pages 25–80. Understanding Complex Systems Series. Springer, 2008.

    Google Scholar 

  12. Nelly Bencomo, Amel Bennaceur, Paul Grace, Gordon S. Blair, and Valérie Issarny. The role of models@run.time in supporting on-the-fly interoperability. Computing, 95(3):167–190, 2013.

    Google Scholar 

  13. Jeff Bilmes, Krste Asanovicy, Chee-Whye Chinz, and Jim Demmel. Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology. In Proceedings of the 11th International Conference on Super Computing, pages 340–347. ACM, 1997.

    Google Scholar 

  14. G. Blair, N. Bencomo, and R.B. France. Models@ run.time. Computer, 42(10):22–27, Oct 2009.

    Google Scholar 

  15. Rodney A. Brooks. Cambrian Intelligence: The Early History of the New AI. MIT Press, Cambridge, MA, USA, 1999.

    Google Scholar 

  16. Yuriy Brun, Giovanna Di Marzo Serugendo, Cristina Gacek, Holger Giese, Holger Kienle, Marin Litoiu, Hausi Müller, Mauro Pezzè, and Mary Shaw. Engineering Self-Adaptive Systems through Feedback Loops. In Software Engineering for Self-Adaptive Systems, 2009.

    Google Scholar 

  17. Radu Calinescu, Lars Grunske, Marta Z. Kwiatkowska, Raffaela Mirandola, and Giordano Tamburrelli. Dynamic qos management and optimization in service-based systems. IEEE Trans. Software Eng., 37(3):387–409, 2011.

    Google Scholar 

  18. Betty H.C. Cheng et al. Software Engineering for Self-Adaptive Systems: A Research Roadmap. In Software Engineering for Self-Adaptive Systems. Springer, 2009.

    Google Scholar 

  19. Shang-Wen Cheng, VaheV. Poladian, David Garlan, and Bradley Schmerl. Improving architecture-based self-adaptation through resource prediction. In Software Engineering for Self-Adaptive Systems. Springer, 2009.

    Google Scholar 

  20. Michel Cotsaftis. From System Complexity to Emergent Properties, chapter What Makes a System Complex? - An Approach to Self Organization and Emergence, pages 49–99. Springer, 2009.

    Google Scholar 

  21. Rogério de Lemos et al. Software Engineering for Self-Adaptive Systems: A second Research Roadmap. In Software Engineering for Self-Adaptive Systems II. Springer, 2013.

    Google Scholar 

  22. Simon Dobson, Spyros Denazis, Antonio Fernández, Dominique Gaïti, Erol Gelenbe, Fabio Massacci, Paddy Nixon, Fabrice Saffre, Nikita Schmidt, and Franco Zambonelli. A survey of autonomic communications. ACM Transactions on Autonomous and Adaptive Systems, 1(2):223–259, 2006.

    Google Scholar 

  23. Vidulich M. Vogel E. Dominguez, C. and G. McMillan. Situation awareness: Papers and annotated bibliography. Armstrong Laboratory, Human System Center, ref. AL/CF-TR-1994-0085, 1994.

    Google Scholar 

  24. M.R. Endsley. Toward a theory of situation awareness in dynamic systems. Human Factors, 37(1):32–64, 1995.

    Google Scholar 

  25. M.R. Endsley. The role of situation awareness in naturalistic decision making. 1997.

    Google Scholar 

  26. M.R. Endsley. Situation awareness: Progress and directions. 2004.

    Google Scholar 

  27. Ilenia Epifani, Carlo Ghezzi, Raffaela Mirandola, and Giordano Tamburrelli. Model evolution by run-time parameter adaptation. In 31st International Conference on Software Engineering, ICSE 2009 [1], pages 111–121.

    Google Scholar 

  28. European Commission. Digital Agenda for Europe - Future Internet Research and Experimentation (FIRE) initiative, 2015.

    Google Scholar 

  29. M.L. Fracker. Measures of situation awareness: Review and future directions (report no. al-tr-1991-0128), 1991b. Wright-Patterson Air Force Base, OH: Armstrong Laboratories.

    Google Scholar 

  30. Robert B. France and Bernhard Rumpe. Model-driven development of complex software: A research roadmap. In International Conference on Software Engineering, ISCE 2007, Workshop on the Future of Software Engineering, FOSE 2007, May 23-25, 2007, Minneapolis, MN, USA, pages 37–54, 2007.

    Google Scholar 

  31. Cristina Gacek, Holger Giese, and Ethan Hadar. Friends or Foes? – A Conceptual Analysis of Self-Adaptation and IT Change Management. In Proc. of the ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2008), pages 121–128. ACM, May 2008.

    Google Scholar 

  32. David Garlan, Shang-Wen Cheng, An-Cheng Huang, Bradley R. Schmerl, and Peter Steenkiste. Rainbow: Architecture-based self-adaptation with reusable infrastructure. IEEE Computer, 37(10):46–54, 2004.

    Google Scholar 

  33. Chang-chieh Hang and P. Parks. Comparative studies of model reference adaptive control systems. IEEE Transactions on Automatic Control, 18(5):419–428, October 1973.

    Google Scholar 

  34. Julia Hielscher, Raman Kazhamiakin, Andreas Metzger, and Marco Pistore. A framework for proactive self-adaptation of service-based applications based on online testing. In Towards a Service-Based Internet. Springer, 2008.

    Google Scholar 

  35. Paul Horn. Autonomic Computing: IBM’s Perspective on the State of Information Technology. Technical report, 2001.

    Google Scholar 

  36. Paola Inverardi and Massimo Tivoli. The future of software: Adaptation and dependability. In Software Engineering, International Summer Schools, ISSSE 2006-2008, Salerno, Italy, Revised Tutorial Lectures, pages 1–31, 2008.

    Google Scholar 

  37. Rolf Isermann, Karl-Heinz Lachmann, and Drago Matko. Adaptive Control Systems. Prentice Hall International series in systems and control engineering. Prentice Hall, New York, 1992. ISBN 0-13-005414-3.

    Google Scholar 

  38. Valerie Issarny, Nikolaos Georgantas, Sara Hachem, Apostolos Zarras, Panos Vassiliadist, Marco Autili, MarcoAurlio Gerosa, and AmiraBen Hamida. Service-oriented middleware for the future internet: state of the art and research directions. Journal of Internet Services and Applications, 2(1):23–45, 2011.

    Google Scholar 

  39. Daniel Kahneman. Thinking, fast and slow. Farrar, Straus and Giroux, New York, 2011.

    Google Scholar 

  40. Gorazd Karer and Igor Skrjanc, 2012.

    Google Scholar 

  41. Jeffrey O. Kephart and David M. Chess. The vision of autonomic computing. Computer, 36(1):41–50, 2003.

    Google Scholar 

  42. Jeffrey O. Kephart and Jonathan Lenchner. A symbiotic cognitive computing perspective on autonomic computing. In 2015 IEEE International Conference on Autonomic Computing, pages 109–114. IEEE Computer Society, 2015.

    Google Scholar 

  43. Moon B Klein, G. and R.R. Hoffman. Making sense of sensemaking 1: Alternative perspectives. IEEE Intelligent Systems, 21(4):70–73, 2006.

    Google Scholar 

  44. Jeff Kramer and Jeff Magee. Self-Managed Systems: an Architectural Challenge. In FOSE ’07: 2007 Future of Software Engineering, 2007.

    Google Scholar 

  45. C. Landauer. Infrastructure for studying infrastructure. In ESOS 2013: Workshop on Embedded Self-Organizing Systems.

    Google Scholar 

  46. C. Landauer and K.L. Bellman. Generic programming, partial evaluation, and a new programming paradigm.

    Google Scholar 

  47. C. Landauer and K.L. Bellman. Self-modeling systems.

    Google Scholar 

  48. Wenchao Li, Dorsa Sadigh, S.Shankar Sastry, and SanjitA. Seshia. Synthesis for human-in-the-loop control systems. In Tools and Algorithms for the Construction and Analysis of Systems. Springer, 2014.

    Google Scholar 

  49. J. C. R. Licklider. Man-machine symbiosis. IRE Transactions on Human Factors in Electronics, HFE-1:4–11, March 1960.

    Google Scholar 

  50. Mieczyslaw Kokar M. and M. R. Endsley. Situation awareness and cognitive modeling. IEEE Intelligent Systems, 27(3):91–96, 2012.

    Google Scholar 

  51. P. Maes and D. Nardi (eds.). Meta-Level Architectures and Reflection. 1986.

    Google Scholar 

  52. Matthew Marge and Alexander I. Rudnicky. Towards evaluating recovery strategies for situated grounding problems in human-robot dialogue. In IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2013, pages 340–341. IEEE, 2013.

    Google Scholar 

  53. Peter M. Mell and Timothy Grance. Sp 800-145. the nist definition of cloud computing. Technical report, Gaithersburg, MD, United States, 2011.

    Google Scholar 

  54. A. Morajko, P. Caymes-Scutari, T. Margalef, and E. Luque. MATE: Monitoring, analysis and tuning environment for parallel/distributed applications. Concurrency and Computation: Practice and Experience, 19(11):1517–1531, 2007.

    Google Scholar 

  55. Gabriel A. Moreno, Javier Cámara, David Garlan, and Bradley R. Schmerl. Proactive self-adaptation under uncertainty: a probabilistic model checking approach. In Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, ESEC/FSE 2015, pages 1–12, 2015.

    Google Scholar 

  56. Brice Morin, Olivier Barais, Grégory Nain, and Jean-Marc Jézéquel. Taming dynamically adaptive systems using models and aspects. In 31st International Conference on Software Engineering, ICSE 2009[1], pages 122–132.

    Google Scholar 

  57. Brice Morin, Franck Fleurey, Nelly Bencomo, Jean-Marc Jézéquel, Arnor Solberg, Vegard Dehlen, and Gordon S. Blair. An aspect-oriented and model-driven approach for managing dynamic variability. In Model Driven Engineering Languages and Systems, 11th International Conference, MoDELS 2008, pages 782–796, 2008.

    Google Scholar 

  58. Christian Müller-Schloer, Hartmut Schmeck, and Theo Ungerer, editors. Organic Computing - A Paradigm Shift for Complex Systems. Springer, 2011.

    Google Scholar 

  59. B.E. Ulicny M.M. Kokar and J.J. Moskal. Ontological structures for higher levels of distributed fusion. 2012.

    Google Scholar 

  60. Hyacinth S. Nwana. Software agents: an overview. Knowledge Eng. Review, 11(3):205–244, 1996.

    Google Scholar 

  61. Jakob Ostergaard. Discrete optimization of the sparse QR factorization. http://unthought.net/OptimQR/OptimQR/report.html, Oct 1998.

  62. Mike P. Papazoglou, Paolo Traverso, Schahram Dustdar, and Frank Leymann. Service-oriented computing: State of the art and research challenges. IEEE Computer, 40(11), 2007.

    Google Scholar 

  63. Manish Parashar and Salim Hariri. Autonomic computing: An overview. In Unconventional Programming Paradigms. Springer, 2005.

    Google Scholar 

  64. Markus Püschel, José M. F. Moura, Jeremy Johnson, David Padua, Manuela Veloso, Bryan Singer, Jianxin Xiong, Franz Franchetti, Aca Gacic, Yevgen Voronenko, Kang Chen, Robert W. Johnson, and Nicholas Rizzolo. SPIRAL: Code generation for DSP transforms. Proceedings of the IEEE, special issue on “Program Generation, Optimization, and Adaptation”, 93(2):232– 275, 2005.

    Google Scholar 

  65. R. Ribler, J. Vetter, H. Simitci, Huseyin Simitci, and Daniel A. Reed. Autopilot: Adaptive control of distributed applications. In Proceedings of the 7th IEEE Symposium on High-Performance Distributed Computing, pages 172–179, 1998.

    Google Scholar 

  66. Stephanie Rosenthal, Joydeep Biswas, and Manuela M. Veloso. An effective personal mobile robot agent through symbiotic human-robot interaction. In Wiebe van der Hoek, Gal A. Kaminka, Yves Lespérance, Michael Luck, and Sandip Sen, editors, 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), pages 915–922. IFAAMAS, 2010.

    Google Scholar 

  67. Stephanie Rosenthal, Sarjoun Skaff, Manuela M. Veloso, Dan Bohus, and Eric Horvitz. Execution memory for grounding and coordination. In Hideaki Kuzuoka, Vanessa Evers, Michita Imai, and Jodi Forlizzi, editors, ACM/IEEE International Conference on Human-Robot Interaction, HRI 2013, pages 213–214. IEEE/ACM, 2013.

    Google Scholar 

  68. Stephanie Rosenthal, Manuela M. Veloso, and Anind K. Dey. Task behavior and interaction planning for a mobile service robot that occasionally requires help. In Automated Action Planning for Autonomous Mobile Robots, Papers from the 2011 AAAI Workshop, volume WS-11-09 of AAAI Workshops. AAAI, 2011.

    Google Scholar 

  69. Stuart J. Russell and Peter Norvig. Artificial Intelligence - A Modern Approach (3. internat. ed.). Pearson Education, 2010.

    Google Scholar 

  70. Mazeiar Salehie and Ladan Tahvildari. Self-adaptive software: Landscape and research challenges. ACM Trans. Auton. Adapt. Syst., 4(2):1–42, 2009.

    Google Scholar 

  71. Peter Sawyer, Nelly Bencomo, Jon Whittle, Emmanuel Letier, and Anthony Finkelstein. Requirements-aware systems: A research agenda for RE for self-adaptive systems. In RE 2010, 18th IEEE International Requirements Engineering Conference, pages 95–103, 2010.

    Google Scholar 

  72. Dale E. Seborg, Duncan A. Mellichamp, Thomas F. Edgar, and Francis J. Doyle, 2011.

    Google Scholar 

  73. MacMillan J. Entin E.E. Serfaty, D. and E.B. Entin. The decision-making expertise of battle commanders. 1997.

    Google Scholar 

  74. Mary Shaw. Beyond objects: A software design paradigm based on process control. ACM SIGSOFT Software Engineering Notes, 20(1):27–38, 1995.

    Google Scholar 

  75. Stefanie Tellex, Pratiksha Thaker, Joshua Mason Joseph, and Nicholas Roy. Learning perceptually grounded word meanings from unaligned parallel data. Machine Learning, 94(2):151–167, 2014.

    Google Scholar 

  76. A. Tiwari and J.K. Hollingsworth. Online adaptive code generation and tuning. In Proceedings of 2011 International Symposium on Parallel Distributed Processing (IPDPS), pages 879–892, 2011.

    Google Scholar 

  77. Romina Torres, Nelly Bencomo, and Hernán Astudillo. Market-awareness in service-based systems. In Sixth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, SASOW 2012, pages 169–174, 2012.

    Google Scholar 

  78. Amos Tversky and Daniel Kahneman. Judgment under Uncertainty: Heuristics and Biases. Science, 185(4157):1124–1131, September 1974.

    Google Scholar 

  79. Laura Pfeifer Vardoulakis, Lazlo Ring, Barbara Barry, Candace L. Sidner, and Timothy W. Bickmore. Designing relational agents as long term social companions for older adults. In Intelligent Virtual Agents - 12th International Conference, IVA 2012, volume 7502 of LNCS, pages 289–302. Springer, 2012.

    Google Scholar 

  80. Michael J. Voss and Rudolf Eigemann. High-level adaptive program optimization with adapt. In Proceedings of the eighth ACM SIGPLAN symposium on principles and practices of parallel programming, PPoPP ’01, pages 93–102. ACM, 2001.

    Google Scholar 

  81. Mark Weiser. The computer for the 21st century. Scientific American, 265(3):94–104, September 1991.

    Google Scholar 

  82. Kristopher Welsh, Pete Sawyer, and Nelly Bencomo. Towards requirements aware systems: Run-time resolution of design-time assumptions. In 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), pages 560–563, 2011.

    Google Scholar 

  83. R. Clinton Whaley, Antoine Petitet, and Jack Dongarra. Automated empirical optimizations of software and the ATLAS project. Parallel Computing, 27(1–2):3–35, 2001.

    Google Scholar 

  84. Tom Wolf and Tom Holvoet. Engineering Self-Organising Systems: Methodologies and Applications, chapter Emergence Versus Self-Organisation: Different Concepts but Promising When Combined, pages 1–15. Springer, 2005.

    Google Scholar 

  85. Michael Wooldridge and Nicholas R. Jennings. Intelligent agents: theory and practice. Knowledge Eng. Review, 10(2):115–152, 1995.

    Google Scholar 

  86. Jun Xu, Pinyao Guo, Mingyi Zhao, Robert F. Erbacher, Minghui Zhu, and Peng Liu. Comparing different moving target defense techniques. In Proceedings of the First ACM Workshop on Moving Target Defense, MTD ’14, pages 97–107. ACM, 2014.

    Google Scholar 

  87. Eric Yuan, Naeem Esfahani, and Sam Malek. Automated mining of software component interactions for self-adaptation. In Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2014, pages 27–36. ACM.

    Google Scholar 

Download references

Acknowledgements

The authors thank Lukas Esterle, Kurt Geihs, Philippe Lalanda, Peter Lewis, and Andrea Zisman for the useful feedback provided during the elaboration of this chapter.

Author information

Authors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Javier Cámara

  2. The Aerospace Corporation, Los Angeles, USA

    Kirstie L. Bellman

  3. Thomas J. Watson Research Center, Yorktown Heights, NY, USA

    Jeffrey O. Kephart

  4. University of L’Aquila, 67100, L’Aquila, Italy

    Marco Autili, Paola Inverardi & Massimo Tivoli

  5. Aston University, Birmingham, B4 7ET, UK

    Nelly Bencomo

  6. Telecom Paris Tech, 75013, Paris, France

    Ada Diaconescu

  7. Hasso-Plattner-Institut, 14482, Potsdam, Germany

    Holger Giese

  8. University of Technology Dresden, Dresden, Germany

    Sebastian Götz

  9. Universität Würzburg, Am Hubland, 97074, Würzburg, Germany

    Samuel Kounev

Authors
  1. Javier Cámara
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kirstie L. Bellman
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jeffrey O. Kephart
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Marco Autili
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Nelly Bencomo
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ada Diaconescu
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Holger Giese
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Sebastian Götz
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Paola Inverardi
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Samuel Kounev
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Massimo Tivoli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Javier Cámara .

Editor information

Editors and Affiliations

  1. University of Würzburg, Würzburg, Germany

    Samuel Kounev

  2. Thomas J. Watson Research Center, Hawthorne, New York, USA

    Jeffrey O. Kephart

  3. University of Würzburg, Würzburg, Germany

    Aleksandar Milenkoski

  4. VMWare Inc.Futurewei Technologies, Inc. , Santa Clara, California, USA

    Xiaoyun Zhu

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Cámara, J. et al. (2017). Self-aware Computing Systems: Related Concepts and Research Areas. In: Kounev, S., Kephart, J., Milenkoski, A., Zhu, X. (eds) Self-Aware Computing Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-47474-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47474-8_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47472-4

  • Online ISBN: 978-3-319-47474-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation