IMT Institutional Repository: No conditions. Results ordered -Date Deposited. 2024-03-28T09:33:34ZEPrintshttp://eprints.imtlucca.it/images/logowhite.pnghttp://eprints.imtlucca.it/2015-11-30T12:37:23Z2016-04-06T07:56:18Zhttp://eprints.imtlucca.it/id/eprint/2936This item is in the repository with the URL: http://eprints.imtlucca.it/id/eprint/29362015-11-30T12:37:23ZA Life Cycle for the Development of Autonomic Systems: The E-mobility ShowcaseComponent ensembles are a promising way of building self-aware autonomic adaptive systems. This approach has been promoted by the EU project ASCENS, which develops the core idea of ensembles by providing rigorous semantics as well as models and methods for the whole development life cycle of an ensemble-based system. These methods specifically address adaptation, self-awareness, self-optimization, and continuous system evolution. In this paper, we demonstrate the key concepts and benefits of the ASCENS approach in the context of intelligent navigation of electric vehicles (e-Mobility), which itself is one of the three key case studies of the project.Tomáš BurešRocco De Nicolar.denicola@imtlucca.itIlias GerostathopoulosNicklas HochMichal KitNora KochGiacoma Valentina MonrealeUgo MontanariRosario PuglieseNikola SerbedzijaMartin WirsingFranco Zambonelli2015-03-11T11:18:06Z2015-07-24T12:26:41Zhttp://eprints.imtlucca.it/id/eprint/2633This item is in the repository with the URL: http://eprints.imtlucca.it/id/eprint/26332015-03-11T11:18:06ZSupporting performance awareness in autonomous ensemblesThe 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 studLubomír BulejTomáš BurešIlias GerostathopoulosVojtěch HorkýJaroslav KezniklLukáš MarekMax Tschaikowskimax.tschaikowski@imtlucca.itMirco Tribastonemirco.tribastone@imtlucca.itPetr Tůma2013-10-28T12:04:50Z2016-03-18T10:44:41Zhttp://eprints.imtlucca.it/id/eprint/1850This item is in the repository with the URL: http://eprints.imtlucca.it/id/eprint/18502013-10-28T12:04:50ZThe Autonomic Cloud: A Vision of Voluntary, Peer-2-Peer Cloud ComputingAutonomic computing - that is, the development of software and hardware systems featuring a certain degree of self-awareness and self-adaptability - is a field with many application areas and many technical difficulties. In this paper, we explore the idea of an autonomic cloud in the form of a platform-as-a-service computing infrastructure which, contrary to the usual practice, does not consist of a well-maintained set of reliable high-performance computers, but instead is formed by a loose collection of voluntarily provided heterogeneous nodes which are connected in a peer-to-peer manner. Such an infrastructure must deal with network resilience, data redundancy, and failover mechanisms for executing applications. We discuss possible solutions and methods which help developing such (and similar) systems. The described approaches are developed in the EU project ASCENS.Philip MayerAnnabelle KlarlRolf HennickerMariachiara PuvianiFrancesco Tiezzifrancesco.tiezzi@imtlucca.itRosario PuglieseTomáš Bureš