Thomas Fahringer

Publications (6)0 Total impact

• Conference Proceeding: A Hybrid Intelligent Method for Performance Modeling and Prediction of Workflow Activities in Grids.

  Rubing Duan, Farrukh Nadeem, Jie Wang, Yun Zhang, Radu Prodan, Thomas Fahringer
  9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2009, Shanghai, China, 18-21 May 2009; 01/2009
• Conference Proceeding: Predicting the Execution Time of Grid Workflow Applications through Local Learning

  Farrukh Nadeem, Thomas Fahringer
  International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing 2009, SC|09); 01/2009
• Conference Proceeding: Using Templates to Predict Execution Time of Scientific Workflow Applications in the Grid.

  Farrukh Nadeem, Thomas Fahringer
  9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2009, Shanghai, China, 18-21 May 2009; 01/2009
• Source

  Available from: Farrukh Nadeem

  Chapter: An evaluation of availability comparison and Prediction for Optimized Resource Selection in the Grid

  Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Vincent Keller
  [show abstract] [hide abstract]
  ABSTRACT: Resources in the Grid exhibit different availability properties and patterns over time, mainly due to their administrators policies for the Grid, and the different domains to which they belong, e.g. non-dedicated desktop Grids, on-demand systems, P2P systems etc. This diversification in availability properties makes availability-aware resource selection, for applications with different fault tolerance capabilities, a challenging problem. To address this problem, we introduce new availability metrics for resource availability comparison. We further predict resource availability considering their availability policies. We introduce a new resource availability predictor based on pattern matching through availability pattern recognition and classification for resource instance and duration availability, and compare it with other methods. Notably we are able to achieve an average accuracy of more than 80% in our predictions.
  12/2007: pages 63-76;
• Source

  Available from: Farrukh Nadeem

  Conference Proceeding: Optimizing Performance of Automatic Training Phase for Application Performance Prediction in the Grid.

  Farrukh Nadeem, Radu Prodan, Thomas Fahringer
  High Performance Computing and Communications, Third International Conference, HPCC 2007, Houston, USA, September 26-28, 2007, Proceedings; 01/2007
• Source

  Available from: Farrukh Nadeem

  Article: Availability-based Resource Selection Risk Analysis in the Grid

  Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Vincent Keller
  [show abstract] [hide abstract]
  ABSTRACT: Resources in the Grid exhibit different availability properties and patterns over time, mainly due to their administrators’ policies for the Grid, and the different domains to which they belong, e.g. non-dedicated desktop Grids, on-demand systems, P2P systems etc. This diversification in availability properties makes availability-aware resource selection, for applications with different fault tolerance capabilities, a challenging problem. To address this problem, we introduce new availability metrics for resource availability comparison. We further predict resource availability considering their availability policies. We introduce a new resource availability predictor based on pattern matching through availability pattern recognition and classification for resource instance and duration availability, and compare it with other methods. Notably we are able to achieve an average accuracy of more than 80% in our predictions.