Managing adaptivity in parallel systems

M. Aldinucci, M. Danelutto, P. Kilpatrick, C. Montangero, L. Semini

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


The management of non-functional features (performance, security, power management, etc.) is traditionally a difficult, error prone task for programmers of parallel applications. To take care of these non-functional features, autonomic managers running policies represented as rules using sensors and actuators to monitor and transform a running parallel application may be used. We discuss an approach aimed at providing formal tool support to the integration of independently developed autonomic managers taking care of different non-functional concerns within the same parallel application. Our approach builds on the Behavioural Skeleton experience (autonomic management of non-functional features in structured parallel applications) and on previous results on conflict detection and resolution in rule-based systems.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages19
Volume7542 LNCS
Publication statusPublished - 01 Jan 2013

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