Self-adaptation for Individual Self-aware Computing Systems

This chapter discusses the role of self-awareness for adaptation at the individual level, when one single entity receives inputs both from itself or some of its components and from the external environment and uses the input to adjust to the current conditions. The chapter reviews the most widely used techniques for M. Maggio (B) · A.V. Papadopoulos · A. Robertsson Department of Automatic Control, Lund University, Ole Römers väg 1, SE 223 63 Lund, Sweden e-mail: [email protected] A.V. Papadopoulos e-mail: [email protected] A. Robertsson e-mail: [email protected] T. Abdelzaher Department of Computer Science, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA e-mail: [email protected] L. Esterle Vienna University of Technology, Treitlstrasse 3, 1040 Vienna, Austria e-mail: [email protected] H. Giese Hasso-Plattner-Institut fr Softwaresystemtechnik GmbH, Prof.-Dr.-Helmert-Str. 2-3, 14482 Potsdam, Germany e-mail: [email protected] J.O. Kephart Thomas J. Watson Research Center, Hawthorne, NY, USA e-mail: [email protected] O.J. Mengshoel Department of Electrical and Computer Engineering, Carnegie Mellon University, Moffett Field, Pittsburgh, CA, USA e-mail: [email protected] K. Wolter Institute of Computer Science, Freie Universität Berlin, Takustr. 9 Raum 149, 14195 Berlin, Germany e-mail: [email protected] © Springer International Publishing AG 2017 S. Kounev et al. (eds.), Self-Aware Computing Systems, DOI 10.1007/978-3-319-47474-8_12 375 376 M. Maggio et al. self-adaptation and identifies the role of self-awareness for each of the techniques and the metrics used to evaluate these techniques. Finally, we pave the way toward the following chapter, which discusses multiple entity adaptation, by introducing the interaction of different self-adaptation techniques at the level of the single individual.