Publication

Appliation-oriented sheduling for HPC Grids

2007
Reports

Abstract

The Intelligent Grid Scheduling Service (ISS) aims at finding an optimally suited computational resource for a given application component. An objective cost model function is used to decide it. It includes information on a parametrization of the components and the machines in a Grid, and on the availability of the clusters. The paper presents a detailed formulation of the environment and outlines the integration of the ISS model into the UNICORE-based VIOLA meta-scheduling Grid middleware. This document is an active collaboration between EPFL, EIA-FR, Forschungszentrum Jülich, Fraunhofer Gesellschaft, University of Dortmund, CETIC, CSCS, and Switch.

Official source

https://infoscience.epfl.ch/entities/publication/e0ff4528-ae50-426c-b4a1-7b85676ced34

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2007
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/e0ff4528-ae50-426c-b4a1-7b85676ced34

About this result

Related concepts (10)

Mathematical optimization

Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.

Multi-objective optimization

Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Multi-objective is a type of vector optimization that has been applied in many fields of science, including engineering, economics and logistics where optimal decisions need to be taken in the presence of trade-offs between two or more conflicting objectives.

Algorithm

In mathematics and computer science, an algorithm (ˈælɡərɪðəm) is a finite sequence of rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals to divert the code execution through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning), achieving automation eventually.