The next-generation ARC middleware

Abstract

The Advanced Resource Connector (ARC) is a light-weight, non-intrusive, simple yet powerful Grid middleware capable of connecting highly heterogeneous computing and storage resources. ARC aims at providing general purpose, flexible, collaborative computing environments suitable for a range of uses, both in science and business. The server side offers the fundamental job execution management, information and data capabilities required for a Grid. Users are provided with an easy to install and use client which provides a basic toolbox for job-and data management. The KnowARC project developed the next-generation ARC middleware, implemented as Web Services with the aim of standard-compliant interoperability.

A Knowledge Based System for Supporting Sustainable Industrial Management in a Clothes Manufacturing Company Based on a Data Fusion Model

“…In the literature, many interesting works can be found related to manufacturing management frameworks and approaches [1][2][3][4][5][6][7][8][9][10][11][12]. The research project in [1] addresses the emergence of interactive manufacturing management at three levels: sector, system and enabling technologies.…”

“…Further, in the current context of globalised markets, big quantities of more or less complex data has to be acquired and processed, to accurately make decisions in a daily basis, considering not just in-door information but also out-door one. Therefore, it becomes of utmost importance and necessity to integrate technology and knowledge for enabling accurate and timely responses to market requests [5][6][7][8][9][10][11][12].…”

Computer-Aided Geometric Sensitivity Analysis of Plane Trusses with a Square Grid Topology

“…Even for small trusses the number of cases is too large to be handled on a single processor core, therefore we also aim to parallelise the problem formally and use a distributed system in order to gain speed. Distributed high performance computing (HPC) infrastructures that can suit our goals include a computing cluster or supercomputer with a job scheduler (such as Condor [19]) installed, or a computing grid [9] with a modern middleware (such as ARC [2]) deployed. In Section 6, we give an overview of parallelisation possibilities, and in Section 7 we formulate performance metrics for the chosen approach.…”

GC3Pie: A Python framework for high-throughput computing

“…GC3Pie is a library of Python classes for running large job campaigns (high throughput) on diverse batch-oriented execution environments, including ARC-based computational grids [2]. It also provides facilities for implementing command-line driver scripts, in the form of Python object classes whose behavior can be customized by overriding specified object methods.…”