Future of Autonomic Computing and Conclusions

The purpose of this last chapter is twofold. First, it draws together the lessons we have learned about autonomic computing and the techniques that are used, at the time of writing, to design and implement self-managed software systems. Our purpose is clearly to help readers to understand, develop and maintain autonomic systems.

[1]  Petre Stoica,et al.  Decentralized Control , 2018, The Control Systems Handbook.

[2]  Franco Zambonelli,et al.  A survey of autonomic communications , 2006, TAAS.

[3]  Ada Diaconescu,et al.  AutoHome: An Autonomic Management Framework for Pervasive Home Applications , 2011, TAAS.

[4]  Jeff Magee,et al.  Self-Managed Systems: an Architectural Challenge , 2007, Future of Software Engineering (FOSE '07).

[5]  Ada Diaconescu,et al.  Towards a Service-Oriented Component Model for Autonomic Management , 2011, 2011 IEEE International Conference on Services Computing.

[6]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[7]  Rodney A. Brooks,et al.  Cambrian Intelligence: The Early History of the New AI , 1999 .

[8]  Jeffrey O. Kephart.  Autonomic computing: the first decade , 2011, ICAC '11.

[9]  Karl Johan Åström,et al.  Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.

[10]  Sylvain Frey,et al.  Architectural Integration Patterns for Autonomic Management Systems , 2012 .

[11]  Stephen Fickas,et al.  Goal-Directed Requirements Acquisition , 1993, Sci. Comput. Program..

[12]  B. Pasik-Duncan,et al.  Adaptive Control , 1996, IEEE Control Systems.