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    • CACTOS toolkit version 1: project deliverable D5.2.1 

      Groenda, Henning; Stier, Christian; Krzywda, Jakub; Byrne, James; Svorobej, Sergej; Papazachos, Zafeirios; Sheridan, Craig; Whigham, Darren; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
      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 ...
    • CACTOS toolkit version 2: accompanying document for prototype deliverable D5.2.2 

      Groenda, Henning; Stier, Christian; Krzywda, Jakub; Byrne, James; Svorobej, Sergej; Castañé, Gabriel González; Papazachos, Zafeirios; Sheridan, Craig; Whigham, Darren; Hauser, Christopher; Tsitsipas, Athanasios; Domaschka, Jörg; Ali-Eldin, Ahmed; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
      This document is accompanying material for the prototype deliverable D5.2.2. It describes the changes for the second version of the CACTOS Toolkit and provides details on the integration between the tools and toolkits. A ...
    • CactoSim simulation framework final prototype: accompanying document for project deliverable D6.4 

      Castañé, Gabriel González; Svorobej, Sergej; Byrne, James; Stier, Christian; Krach, Sebastian; Krzywda, Jakub; Hauser, Christopher; Tsitsipas, Athanasios; Ahir, Mayur; Allsop, James; Star, Kam; Byrne, Peter J.; Ali-Eldin, Ahmed (Universität Ulm, 2017-05-19)
      This deliverable provides supporting documentation for the software deliverable D6.4, the third release of the CactoSim simulation framework. It includes user manual supporting information for installation, usage, features, ...
    • CactoSim simulation framework initial prototype: project deliverable D6.1 

      Svorobej, Sergej; Byrne, James; Byrne, Peter J.; Groenda, Henning; Stier, Christian; Domaschka, Jörg; Wesner, Stefan; Krzywda, Jakub; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
      This deliverable provides supporting documentation for the official deliverable D6.1, the initial release of the CactoSim simulation framework. It presents the reader with the scope of the deliverable, initial requirements ...
    • Data collection framework: project deliverable D4.1, revision 2 

      Papazachos, Zafeirios; Bharbuiya, Sakil; Kilpatrick, Peter; Wesner, Stefan; Schubert, Lutz; Domaschka, Jörg; Whigham, Darren; Hauser, Christopher; Ali-Eldin, Ahmed; Nikolopoulos, Dimitrios S.; Sheridan, Craig (Universität Ulm, 2017-04-21)
      This deliverable will detail the requirements of the data collection framework to be deployed for the project. The requirements include the performance and energy indicators that the data collection framework is expected ...
    • DisResc: self-organized and flexible distributed resource cluster 

      Hauser, Christopher B. (Universität Ulm, 2016-09-29)
      The idea of DisResc is to place workloads with different requirements on heterogeneous resources, while both the requirements and the resources are considered. The overall goals are to better utilise (heterogeneous) data ...
    • Dissemination & collaboration plan: project deliverable D2.2 

      Innes, Alasdair; Sheridan, Craig; Wesner, Stefan; Mann, Sandra; Eisinger, Uwe; Byrne, James; Groenda, Henning (Universität Ulm, 2017-04-19)
      This deliverable will detail the plan for the project dissemination strategy to be adopted during the project lifetime. This will include procedures for partners to follow when publishing articles and will show how ...
    • Dissemination & collaboration report & newsletter: deliverable 2.3.3 

      Papazachos, Zafeirios; Wesner, Stefan; Domaschka, Jörg; Sheridan, Craig; Stewart, Claire; Innes, Alasdair; Stier, Christian; Henß, Jörg; Ali-Eldin, Ahmed; Tsitsipas, Athanasios; Byrne, James (Universität Ulm, 2017-04-19)
      This deliverable will provide an update on the CACTOS Dissemination and Collaboration Report laid out in D2.3.2. It marks the final report of the CACTOS project concerning dissemination. Firstly, the objectives, intentions ...
    • Dissemination & collaboration report & newsletter: project deliverable D2.3.1 

      Innes, Alasdair (Universität Ulm, 2017-04-19)
      This deliverable will provide an update on the CACTOS Dissemination and Collaboration Strategy laid out in D2.2.
    • Dissemination & collaboration report & newsletter: project deliverable D2.3.2 

      Bowater, James (Universität Ulm, 2017-04-19)
      This deliverable will provide an update on the CACTOS Dissemination and Collaboration Report laid out in D2.3.1. Firstly, the objectives, intentions and targeted impact of CACTOS dissemination activities are presented, ...
    • Evaluation methodology for the CACTOS runtime and prediction toolkits: project deliverable D5.4 

      Stier, Christian; Groenda, Henning; Whigham, Darren; Bharbuiya, Sakil; Papazachos, Zafeirios; Hauser, Christopher; Krzywda, Jakub; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
      Infrastructure as a Service (IaaS) cloud data centres enable customers to run arbitrary software systems on virtualised infrastructure. In contrast to Software or Platform as a Service approaches, customers do not need to ...
    • Extended optimization model: project deliverable D3.3 

      Krzywda, Jakub; Rezaie, Ali; Papazachos, Zafeirios; Hamilton-Bryce, Ryan; Östberg, Per-Olov; Ali-Eldin, Ahmed; McCollum, Barry; Domaschka, Jörg (Universität Ulm, 2017-04-20)
      This deliverable describes an enhanced version of the optimization model that features predictive capabilities. The purpose of this deliverable is to demonstrate how the enhanced model and advanced optimization algorithms ...
    • Final optimization model: project deliverable D3.4 

      Ali-Eldin, Ahmed; Krzywda, Jakub; Lakew, Ewnetu Bayuh; Sedeghat, Mina; Domaschka, Jörg; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
      This deliverable describes the final version of the optimization model and algorithms implemented in CactoOpt. The model and algorithms include description of the implemented autoscaling algorithms, their integration with ...
    • Final results from optimisation models validation and experimentation: project deliverable D6.5 

      Byrne, James; Svorobej, Sergej; Castañé, Gabriel González; Stier, Christian; Krach, Sebastian; Ali-Eldin, Ahmed; Krzywda, Jakub; Byrne, Peter J. (Universität Ulm, 2017-04-20)
      Since the arrival of cloud computing, a significant amount of research has been and continues to be carried out towards the creation of efficient optimisation strategies for meeting certain optimisation goals such as energy ...
    • Integrated data collection and analysis frameworks: project deliverable D4.4 

      Papazachos, Zafeirios; Kilpatrick, Peter; Tsitsipas, Athanasios; Domaschka, Jörg; Whigham, Darren; Sheridan, Craig; Ahir, Mayur; Varghese, Blesson; Mehta, Hemant; Barbhuiya, Sakil; Nikolopoulos, Dimitrios S. (Universität Ulm, 2017-04-20)
      CactoScale is a CACTOS component which provides monitoring and data analysis functionality. This deliverable presents the integration of the algorithmic data analysis framework and the data collection tool in a production-mode ...
    • Model integration method and supporting tooling: project deliverable D5.1 

      Groenda, Henning; Stier, Christian; Krzywda, Jakub; Byrne, James; Svorobej, Sergej; Papazachos, Zafeirios; Sheridan, Craig; Whigham, Darren; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
      The CACTOS project aims to improve the operational efficiency of cloud data centres by supporting data centre operators in the planning and operation of heterogeneous data centres. One major goal of CACTOS is to enable ...
    • Parallel trace analysis: project deliverable D4.3 

      Papazachos, Zafeirios; Bharbuiya, Sakil; Ibidunmoye, Olumuyiwa; Mehta, Amardeep; Rezaei, Ali; Tsitsipas, Athanasios; Castañé, Gabriel González; Ali-Eldin, Ahmed; Nikolopoulos, Dimitrios S. (Universität Ulm, 2017-04-20)
      CactoScale provides monitoring and data analysis functionality to CACTOS. This deliverable presents the framework and algorithms used by CactoScale for parallel trace analysis. We describe different CactoScale framework ...
    • Performance evaluation of the CACTOS toolkit on a small cloud testbed: project deliverable D5.5 

      Stier, Christian; Krach, Sebastian; Hauser, Christopher; Tsitsipas, Athanasios; Domaschka, Jörg; Sheridan, Craig; Whigham, Darren; Papazachos, Zafeirios (Universität Ulm, 2017-04-20)
      This document describes the performance and scalability evaluation for the CACTOS Runtime Toolkit. The evaluation is conducted on the basis of the evaluation methodology documented in (D5.4 Evaluation Methology for the ...
    • Predictive cloud application model: project deliverable D3.2 

      Ali-Eldin, Ahmed; Östberg, Per-Olov; Krzywda, Jakub; Hauser, Christopher; Domaschka, Jörg; Groenda, Henning (Universität Ulm, 2017-04-20)
      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 ...
    • Preliminary offline trace analysis: project deliverable D4.2 

      Papazachos, Zafeirios; Bharbuiya, Sakil; Hauser, Christopher; Sheridan, Craig; Stier, Christian; Nikolopoulos, Dimitrios S. (Universität Ulm, 2017-04-20)
      This deliverable presents a preliminary offline analysis of existing workload traces. It describes the process of collecting and importing real trace data and logs into the CactoScale database from a cloud provider (FLEXIANT) ...