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Adaptation Engine for Large-Scale Distributed Systems

  • Tania Nemes
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9520)

Abstract

One of the primary concerns with the increased complexity of large-scale distributed systems is to ensure efficiency, resilience and reliability of the system under changing contextual circumstances. A poorly handled outage as unavailability of parts of the network or services, performance bottlenecks or core network failure leads to down rated reliability and quality of service and, in extreme cases, lengthy downtime of the system. The current paper proposes a dynamic failure handling adaptation solution for cloud-enabled large-scale distributes systems that is composed (so far) of two phases. The first phase represents identification of a possible solution by means of case-based reasoning. The second one is a modeling phase, where the adaptation strategy is configured and described in terms of adaptation actions.

Keywords

Large-scale distributed systems Adaptation Decentralization Case-based reasoning 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Christian-Doppler Laboratory for Client-Centric Cloud Computing (CDCC)Hagenberg im MühlkreisAustria

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