Grid INFN Virtual Laboratory for Dissemination Activities (GILDA)

Grid INFN Virtual Laboratory for Dissemination Activities (GILDA)

Roberto Barbera (Università di Catania and Istituto Nazionale di Fisica Nucleare (INFN), Italy), Valeria Ardizzone (Istituto Nazionale di Fisica Nucleare (INFN), Italy) and Leandro Ciuffo (Istituto Nazionale di Fisica Nucleare (INFN), Italy)
DOI: 10.4018/978-1-60566-184-1.ch024
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The Grid INFN virtual Laboratory for Dissemination Activities (GILDA) is a fully working Grid test-bed devoted to training and dissemination activities. Open to anyone who wants to have its first hand experience with grid systems, GILDA has been adopted as the official training tool by several Grid projects around the world. All services, tools and materials produced in the past tutorials can be freely used by anyone who wants to learn and teach grid technology. Additionally, through a set of applications ported on its Grid Infrastructure, developers can identify components and learn by examples how to “gridify” their applications. This work presents the main features of such training-Infrastructure.
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Launched in 2004 by the Italian National Institute for Nuclear Physics (INFN), GILDA (the Grid INFN virtual Laboratory for Dissemination Activities) is a fully working Grid test-bed devoted to dissemination activities. This infrastructure is open to anyone who wants to have a first hand experience with grid systems. Actually, GILDA can be an important tool for at least three main user categories:

  • Grid newcomers: People willing to start learning how to use a grid infrastructure;

  • Grid application developers: Through a set of applications ported on GILDA, developers can identify components and learn by examples how to “gridify” their applications;

  • Tutors: GILDA has been developed keeping training in mind. Thus, all services, tools and materials produced in the past tutorials can be freely used by anyone who wants to teach grid technology.

Indeed, GILDA has been adopted as the official training tool by several Grid projects, such as EGEE, EELA, EU-IndiaGRID, EUMEDGRID, EUChinaGRID, ICEAGE, and several others, becoming a “de facto” standard training-Infrastructure (hereafter t-infrastructure) in Europe and in several other parts of the world for a dissemination of Grid Computing.

The GILDA objectives can be summarized as follows:

  • To raise awareness of Grid Computing benefits

  • To provide customized formats for dissemination events, according to the skills of attendants

  • To facilitate appropriate free on-line content and services for training purposes

  • To encourage the use of a complete t-infrastructure by new communities

This article aims at presenting an overview of GILDA facilities as well as to invite the reader to try such t-infrastructure.


Dissemination Instruments

The main objectives of GILDA activity are to encourage and help new and existing communities, to support them for improvement or migration of their applications to the Grid infrastructure, to accelerate the adoption of grid technologies, and to increase the satisfaction of those currently using the Grid service throw the communities’ feedback. Training activities are a key component of the knowledge dissemination process, ensuring that all users fully understand the characteristics of the offered grid services and that they have enough expertise to properly use the available grid infrastructure. In order to accomplish the main objectives, several dissemination instruments are used. A brief description of the instruments is presented below.

Key Terms in this Chapter

gLite: A Grid middleware developed by the EGEE project

EGEE: Enabling Grids for E-SciencE (EGEE) is an EU funded project to build a 24/7 Grid Production Service for scientific research. Already serving many scientific disciplines, it aims to provide academic and industrial researchers with access to major computing resources, independent of their locations. The EGEE project is led by CERN, the European Organization for Nuclear Research, and involves over 70 partner institutions across Europe, Asia and the United States.

VO: Virtual Organization is a group of individuals or institutions who can use and share information and computational resources in a grid system.

Certification Authority: A trusted third party for signing certificates for network entities. Other network entities can check the signature to verify that a CA has authenticated the bearer of a certificate.

T-Infrastructure: Short for Training Infrastructure, i.e., specialized e-infrastructure devoted for educational purposes, including software, data and computer systems required to deliver courses and to support tutees and learners.

E-Infrastructure: Short term for Electronic Infrastructure, i.e., all ICT based resources (distributed networks, computers, storage devices, software etc.) and support operations which facilitate the collaboration among research communities by sharing resources, analysis tools and data.

Middleware: Software that sits between the operating system and application programs and provides a set of common services to them.

Complete Chapter List

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Editorial Advisory Board
Table of Contents
Ruth E. Shaw
Emmanuel Udoh, Frank Zhigang Wang
Emmanuel Udoh
Chapter 1
Emmanuel Udoh, Frank Zhigang Wang, Vineet R. Khare
This chapter presents a historical record of the advent of Grid with a recourse to some basic definitions commonly accepted by most researchers. It... Sample PDF
Overview of Grid Computing
Chapter 2
Eric Aubanel
The problem of load balancing parallel applications is particularly challenging on computational grids, since the characteristics of both the... Sample PDF
Resource-Aware Load Balancing of Parallel Applications
Chapter 3
Enis Afgan, Purushotham Bangalore
Grid computing has emerged as the next generation computing platform. Because of the resource heterogeneity that exists in the grid environment... Sample PDF
Assisting Efficient Job Planning and Scheduling in the Grid
Chapter 4
Kuo-Chan Huang, Po-Chi Shih, Yeh-Ching Chung
Most current grid environments are established through collaboration among a group of participating sites which volunteer to provide free computing... Sample PDF
Effective Resource Allocation and Job Scheduling Mechanisms for Load Sharing in a Computational Grid
Chapter 5
Tevfik Kosar
As the data requirements of scientific distributed applications increase, the access to remote data becomes the main performance bottleneck for... Sample PDF
Data-Aware Distributed Batch Scheduling
Chapter 6
Gianni Pucciani, Flavia Donno, Andrea Domenici, Heinz Stockinger
Data replication is a well-known technique used in distributed systems in order to improve fault tolerance and make data access faster. Several... Sample PDF
Consistency of Replicated Datasets in Grid Computing
Chapter 7
Ming Wu, Xian-He Sun
Rapid advancement of communication technology has changed the landscape of computing. New models of computing, such as business-on-demand, Web... Sample PDF
Quality of Service of Grid Computing
Chapter 8
QoS in Grid Computing  (pages 75-83)
Zhihui Du, Zhili Cheng, Xiaoying Wang, Chuang Lin
This chapter first summarizes popular terms of QoS related concepts and technologies in grid computing, including SLA, End-to-End QoS Provision and... Sample PDF
QoS in Grid Computing
Chapter 9
Kris Bubendorfer, Ben Palmer, Ian Welch
A Grid resource broker is the arbiter for access to a Grid’s computational resources and therefore its performance and functionality has a... Sample PDF
Trust and Privacy in Grid Resource Auctions
Chapter 10
Sandro Fiore, Alessandro Negro, Salvatore Vadacca, Massimo Cafaro, Giovanni Aloisio, Roberto Barbera
Grid computing is an emerging and enabling technology allowing organizations to easily share, integrate and manage resources in a distributed... Sample PDF
An Architectural Overview of the GRelC Data Access Service
Chapter 11
Man Wang, Zhihui Du, Zhili Cheng
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Adaptive Resource Management in Grid Environment
Chapter 12
Vineet R. Khare, Frank Zhigang Wang
The need for a dynamic and scalable expansion of the grid infrastructure and resources and other scalability issues in terms of execution efficiency... Sample PDF
Bio-Inspired Grid Resource Management
Chapter 13
Yuhui Deng, Frank Zhigang Wang, Na Helian
Storage Grid is a new model for deploying and managing the heterogeneous, dynamic, large-scale, and geographically distributed storage resources.... Sample PDF
Service Oriented Storage System Grid
Chapter 14
Dominic Cherry, Maozhen Li, Man Qi
This chapter presents MediaGrid, a distributed storage system for archiving broadcast media contents. MediaGrid utilizes storage resources donated... Sample PDF
A Distributed Storage System for Archiving Broadcast Media Content
Chapter 15
Maozhen Li, Man Qi, Bin Yu
The computational grid is rapidly evolving into a service-oriented computing infrastructure that facilitates resource sharing and large-scale... Sample PDF
Service Discovery with Rough Sets
Chapter 16
Irfan Habib, Ashiq Anjum, Richard McClatchey
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On the Pervasive Adoption of Grid Technologies: A Grid Operating System
Chapter 17
Kurt Vanmechelen, Jan Broeckhove, Wim Depoorter, Khalid Abdelkader
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Pricing Computational Resources in Grid Economies
Chapter 18
Rosario M. Piro
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Resource Usage Accounting in Grid Computing
Chapter 19
Frans Arickx, Jan Broeckhove, Peter Hellinckx, David Dewolfs, Kurt Vanmechelen
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Grid-Based Nuclear Physics Applications
Chapter 20
Gabriel Aparicio, Fernando Blanco, Ignacio Blanquer, César Bonavides, Juan Luis Chaves, Miguel Embid, Álvaro Hernández
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Developing Biomedical Applications in the Framework of EELA
Chapter 21
Gerald Schaefer, Roger Tait
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Distributed Image Processing on a Blackboard System
Chapter 22
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Simulated Events Production on the Grid for the BaBar Experiment
Chapter 23
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A Framework for Semantic Grid in E-Science
Chapter 24
Roberto Barbera, Valeria Ardizzone, Leandro Ciuffo
The Grid INFN virtual Laboratory for Dissemination Activities (GILDA) is a fully working Grid test-bed devoted to training and dissemination... Sample PDF
Grid INFN Virtual Laboratory for Dissemination Activities (GILDA)
Chapter 25
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Grid Enabled Surrogate Modeling
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GIS Grids and the Business Use of GIS Data
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Accessing Grid Metadata through a Web Interface
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Grid Computing Initiatives in India
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