TL;DR: The Grid Computing: Features contributions from the major players in the field Covers all aspects of grid technology from motivation to applications provided an extensive state-of-the-art guide in grid computing as mentioned in this paper.
Abstract: From the Publisher:
Grid computing is applying the resources of many computers in a network to a single problem at the same time
Grid computing appears to be a promising trend for three reasons:
(1) Its ability to make more cost-effective use of a given amount of computer resources,
(2) As a way to solve problems that can't be approached without an enormous amount of computing power
(3) Because it suggests that the resources of many computers can be cooperatively and perhaps synergistically harnessed and managed as a collaboration toward a common objective.
A number of corporations, professional groups, university consortiums, and other groups have developed or are developing frameworks and software for managing grid computing projects. The European Community (EU) is sponsoring a project for a grid for high-energy physics, earth observation, and biology applications. In the United States, the National Technology Grid is prototyping a computational grid for infrastructure and an access grid for people. Sun Microsystems offers Grid Engine software. Described as a distributed resource management tool, Grid Engine allows engineers at companies like Sony and Synopsys to pool the computer cycles on up to 80 workstations at a time.
"the Grid" is a very hot topic generating broad interest from research and industry (e.g. IBM, Platform, Avaki, Entropia, Sun, HP) Grid architecture enables very popular e-Science projects like the Genome project which demand global interaction and networking In recent surveys over 500f Chief Information Officers are expected to use Grid technology this year
Grid Computing: Features contributions from the major players in the field Covers all aspects of grid technology from motivation to applications Provides an extensive state-of-the-art guide in grid computing
This is essential reading for researchers in Computing and Engineering, physicists, statisticians, engineers and mathematicians and IT policy makers.
TL;DR: In this article, the authors present a model framework for distributed and collaborative visualization and assess a selection of visualization systems and frameworks for their use in a distributed or collaborative environment, and discuss some examples of enabling technology and review recent work from research projects.
Abstract: Visualization is a powerful tool for analyzing data and presenting results in science, engineering and medicine. This paper reviews ways in which it can be used in distributed and/or collaborative environments. Distributed visualization addresses a number of resource allocation problems, including the location of processing close to data for the minimization of data traffic. The advent of the Grid Computing paradigm and the link to Web Services provides fresh challenges and opportunities for distributed visualization—including the close coupling of simulations and visualizations in a steering environment. Recent developments in collaboration have seen the growth of specialized facilities (such as Access Grid) which have supplemented traditional desktop video conferencing using the Internet and multicast communications. Collaboration allows multiple users—possibly at remote sites—to take part in the visualization process at levels which range from the viewing of images to the shared control of the visualization methods. In this review, we present a model framework for distributed and collaborative visualization and assess a selection of visualization systems and frameworks for their use in a distributed or collaborative environment. We also discuss some examples of enabling technology and review recent work from research projects in this field.
TL;DR: A unique prototype application developed over the Australian GrangeNet broadband research network is described, which combines videoconferencing over access grid nodes with collaborative, real-time sharing of an application which enables the indexing, browsing, annotation and discussion of video content between multiple groups at remote locations.
Abstract: A number of research groups and software companies have developed digital annotation tools for textual documents, web pages, images, audio and video resources. By annotations we mean subjective comments, notes, explanations or external remarks that can be attached to a document or a selected part of a document without actually modifying the document. When a user retrieves a document, they can also download the annotations attached to it from an annotation server to view their peer's opinions and perspectives on the particular document or to add, edit or update their own annotations. The ability to do this collaboratively and in real time during group discussions is of great interest to the educational, medical, scientific, cultural, defense and media communities. But it is extremely challenging technically and demands significant bandwidth, particularly for video documents. In this paper we describe a unique prototype application developed over the Australian GrangeNet broadband research network, which combines videoconferencing over access grid nodes with collaborative, real-time sharing of an application which enables the indexing, browsing, annotation and discussion of video content between multiple groups at remote locations.
TL;DR: This study describes the deployment of a problem-based learning case distributed over the National Computational Science Alliance's Access Grid and identifies educational and technical challenges for Project TOUCH.
Abstract: Project TOUCH (Telehealth Outreach for Unified Community Health; http://hsc.unm.edu/touch) investigates the feasibility of using advanced technologies to enhance education in an innovative problem-based learning format currently being used in medical school curricula, applying specific clinical case models, and deploying to remote sites/workstations. The University of New Mexico's School of Medicine and the John A. Burns School of Medicine at the University of Hawai'i face similar health care challenges in providing and delivering services and training to remote and rural areas. Recognizing that health care needs are local and require local solutions, both states are committed to improving health care delivery to their unique populations by sharing information and experiences through emerging telehealth technologies by using high-performance computing and communications resources. The purpose of this study is to describe the deployment of a problem-based learning case distributed over the National Computational Science Alliance's Access Grid. Emphasis is placed on the underlying technical components of the TOUCH project, including the virtual reality development tool Flatland, the artificial intelligence-based simulation engine, the Access Grid, high-performance computing platforms, and the software that connects them all. In addition, educational and technical challenges for Project TOUCH are identified.
TL;DR: This paper presents a model framework for distributed and collaborative visualization and assess a selection of visualization systems and frameworks for their use in a distributed or collaborative environment and discusses some examples of enabling technology.
Abstract: Visualization is a powerful tool for analyzing data and presenting results in science, engineering and medicine. This paper reviews ways in which it can be used in distributed and/or collaborative environments. Distributed visualization addresses a number of resource allocation problems, including the location of processing close to data for the minimization of data traffic. The advent of the Grid Computing paradigm and the link to Web Services provides fresh challenges and opportunities for distributed visualization—including the close coupling of simulations and visualizations in a steering environment. Recent developments in collaboration have seen the growth of specialized facilities (such as Access Grid) which have supplemented traditional desktop video conferencing using the Internet and multicast communications. Collaboration allows multiple users—possibly at remote sites—to take part in the visualization process at levels which range from the viewing of images to the shared control of the visualization methods. In this review, we present a model framework for distributed and collaborative visualization and assess a selection of visualization systems and frameworks for their use in a distributed or collaborative environment. We also discuss some examples of enabling technology and review recent work from research projects in this field.