@incollection{eprints2633,
       publisher = {Springer},
          number = {8998},
          series = {Lecture Notes in Computer Science},
           title = {Supporting performance awareness in autonomous ensembles},
       booktitle = {Software Engineering for Collective Autonomic Systems : the ASCENS Approach},
            year = {2015},
          author = {Lubom{\'i}r Bulej and Tom{\'a}{\v s} Bure{\v s} and Ilias Gerostathopoulos and Vojt{\v e}ch Hork{\'y} and Jaroslav Keznikl and Luk{\'a}{\v s} Marek and Max Tschaikowski and Mirco Tribastone and Petr T{\r u}ma},
           pages = {291--322},
        abstract = {The ASCENS project works with systems of self-aware, self-adaptive and self-expressive ensembles. Performance awareness represents a concern that cuts across multiple aspects of such systems, from the techniques to acquire performance information by monitoring, to the methods of incorporating such information into the design making and decision making processes. This chapter provides an overview of five project contributions ? performance monitoring based on the DiSL instrumentation framework, measurement evaluation using the SPL formalism, performance modeling with fluid semantics, adaptation with DEECo and design with IRM-SA ? all in the context of the cloud case stud},
        keywords = {performance; monitoring; modeling; adaptive systems; autonomic systems},
             url = {http://eprints.imtlucca.it/2633/}
}