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Groenda, Henning [Verfasser:in]; Stier, Christian [Verfasser:in]; Krzywda, Jakub [Verfasser:in]; Byrne, James [Verfasser:in]; Svorobej, Sergej [Verfasser:in]; Papazachos, Zafeirios [Verfasser:in]; Sheridan, Craig [Verfasser:in]; Whigham, Darren [Verfasser:in]; Östberg, Per-Olov [Verfasser:in]

CACTOS toolkit version 1: project deliverable D5.2.1

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  • Medientyp: E-Book; Bericht; Sonstige Veröffentlichung
  • Titel: CACTOS toolkit version 1: project deliverable D5.2.1
  • Beteiligte: Groenda, Henning [Verfasser:in]; Stier, Christian [Verfasser:in]; Krzywda, Jakub [Verfasser:in]; Byrne, James [Verfasser:in]; Svorobej, Sergej [Verfasser:in]; Papazachos, Zafeirios [Verfasser:in]; Sheridan, Craig [Verfasser:in]; Whigham, Darren [Verfasser:in]; Östberg, Per-Olov [Verfasser:in]
  • Erschienen: Universität Ulm, 2017-04-21
  • Sprache: Englisch
  • DOI: https://doi.org/10.18725/OPARU-4318
  • Schlagwörter: Data management ; Simulation ; Cloud services ; Toolkit ; Context-aware cloud topology ; Electric network topology ; Cloud computing ; Optimisation ; Analytics ; Cloud ; Datenmanagement
  • Entstehung:
  • Anmerkungen: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Beschreibung: In Infrastructure as a Service (IaaS) cloud data centres, customers can run their software on the virtualized infrastructure of a data centre. They benefit from easy scalability and pay-as-you-go payment models and are able to request Virtual Machines (VM) with varying properties, such as processing speed or memory size. Data centre providers benefit from consolidation and economy of scales effects if several VMs are deployed on the same physical resources without Quality of Service (QoS) conflicts, e.g. because VMs often idle and rarely use all available resources. The efficient utilisation of the underlying physical infrastructure including management and topology optimisation determines the costs and ultimately the business success for data centre operators. The CACTOS project develops an integrated solution for runtime monitoring, optimisation and predictions. The solution supports data centre providers in managing and planning data centres. CACTOS consists of two toolkits: • The CACTOS Runtime Toolkit facilitates automated resource planning and optimisation for Infrastructure as a Service (IaaS) data centres. • The CACTOS Prediction Toolkit enables what-if analyses including effects caused by automated resource optimisation based on existing or planned data centre topologies. This document provides an overview on both toolkits and their interactions in the completed first iteration step. The focus of this deliverable is on describing the CACTOS Runtime Toolkit but was extended to give a holistic view and cover the CACTOS Prediction Toolkit as well. The CACTOS Runtime toolkit consists of independent tools for cloud infrastructure analytics and optimisation. This document describes the purpose and features of the tools as well as utilised base technology and provided interfaces. The analytics-oriented tool, CactoScale, provides already an automated extraction of central infrastructure information and monitoring of a running data centre. The optimisation-oriented tool, CactoOpt, can perform optimisation ...
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung - Keine Bearbeitung (CC BY-ND)