Supporting performance awareness in autonomous ensembles

Lubomír Bulej, Tomáš Bureš, Ilias Gerostathopoulos, Vojtéch Horký, Jaroslav Keznikl, Lukáš Marek, Max Tschaikowski, Mirco Tribastone, Petr Tůma

Research output: Contribution to JournalArticleAcademicpeer-review


The ASCENS project works with systems of self-aware, selfadaptive 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 study.

Original languageEnglish
Pages (from-to)291-322
Number of pages32
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 1 Jan 2015
Externally publishedYes


  • Adaptive systems
  • Autonomic Systems
  • Modeling
  • Monitoring
  • Performance


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