Document Details

Document Type : Article In Conference 
Document Title :
An Evaluation of Availability Comparison and Prediction for Optimized Resource Selection in the Grid
تقييم مقارنة مدى توافر الموارد وكذلك التنبؤ بتوفرها من أجل تحقيق عملية إختيار مثلى للموارد المتاحة في الأنظمة الشبكية
 
Subject : Performance Modeling of Scientific Workflow Applications 
Document Language : English 
Abstract : The functional heterogeneity of computational Grids has highly increased due to inclusion of resources other than dedicated to Grid, like from non-dedicated desktop Grids, on-demand systems and even from P2P systems and mobile Grids. At such a diversified scale, resources exhibit different availability properties mainly due to administrators' policies for resource availability in the Grid, and their failure/unavailability properties. These make resources' availability predictions for optimized resource selection, a challenging problem. Addressing this problem, we characterize resource availability properties against their availability policies to understand their availability behavior and quantify it through availability models. We further exploit the availability/failure properties to make predictions about their availability through pattern recognition and classification. We have achieved, on average, accuracy of more than 90% and 75% in our predictions for resource instance availability and lifetime respectively. 
Conference Name : CCGRID '08 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 
Duration : From : 19 مايو 2008 AD - To : 22 مايو 2008 AD 
Publishing Year : 1429 AH
2008 AD 
Number Of Pages : 10 
Article Type : Article 
Conference Place : Lyon, France 
Organizing Body : IEEE Computer Society, IEEE Technical Committee on Scalable Computing (TCSC), and Association for Computing Machinery (ACM). 
Added Date : Monday, July 16, 2012 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
فرخ نديمNadeem, Farrukh Researcher abdullatif@kau.edu.sa
Thomas FahringerFahringer, Thomas Researcher  

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