• Medientyp: E-Book; Bericht; Sonstige Veröffentlichung
  • Titel: Predictive cloud application model: project deliverable D3.2
  • Beteiligte: Ali-Eldin, Ahmed [Verfasser:in]; Östberg, Per-Olov [Verfasser:in]; Krzywda, Jakub [Verfasser:in]; Hauser, Christopher [Verfasser:in]; Domaschka, Jörg [Verfasser:in]; Groenda, Henning [Verfasser:in]
  • Erschienen: Universität Ulm, 2017-04-20
  • Sprache: Englisch
  • DOI: https://doi.org/10.18725/OPARU-4306
  • Schlagwörter: Cactos Projekt ; Cloud services ; Electronic network topology ; Context-aware cloud topology ; Cloud computing ; Prediction models ; Cloud ; Datenmanagement
  • Entstehung:
  • Anmerkungen: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Beschreibung: This document outlines a framework for the cloud workload and application models used in CactoOpt, the CACTOS infrastructure optimisation tool, and presents initial prototypes for cloud application behaviour models. The purpose of this deliverable is to demonstrate some of the prediction models built for different cloud workloads, and illustrate how they are integrated with the application and component models used in infrastructure and workload deployment optimization. For prediction modelling we give special focus to cloud application user behaviour modelling, including, e.g., workload burstiness and request arrival pattern modelling. To place this work in context, we also present a framework for application and infrastructure modelling focused on translation of workload and application behaviour to infrastructure load.
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung - Keine Bearbeitung (CC BY-ND)