378 research outputs found
A perspective on the Healthgrid initiative
This paper presents a perspective on the Healthgrid initiative which involves
European projects deploying pioneering applications of grid technology in the
health sector. In the last couple of years, several grid projects have been
funded on health related issues at national and European levels. A crucial
issue is to maximize their cross fertilization in the context of an environment
where data of medical interest can be stored and made easily available to the
different actors in healthcare, physicians, healthcare centres and
administrations, and of course the citizens. The Healthgrid initiative,
represented by the Healthgrid association (http://www.healthgrid.org), was
initiated to bring the necessary long term continuity, to reinforce and promote
awareness of the possibilities and advantages linked to the deployment of GRID
technologies in health. Technologies to address the specific requirements for
medical applications are under development. Results from the DataGrid and other
projects are given as examples of early applications.Comment: 6 pages, 1 figure. Accepted by the Second International Workshop on
Biomedical Computations on the Grid, at the 4th IEEE/ACM International
Symposium on Cluster Computing and the Grid (CCGrid 2004). Chicago USA, April
200
Infrared heat transfer by atmospheric water vapor
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Meteorology, 1961.Includes bibliographical references (leaves 67-68).by Robert A. McClatchey.M.S
Mobile Computing in Physics Analysis - An Indicator for eScience
This paper presents the design and implementation of a Grid-enabled physics
analysis environment for handheld and other resource-limited computing devices
as one example of the use of mobile devices in eScience. Handheld devices offer
great potential because they provide ubiquitous access to data and
round-the-clock connectivity over wireless links. Our solution aims to provide
users of handheld devices the capability to launch heavy computational tasks on
computational and data Grids, monitor the jobs status during execution, and
retrieve results after job completion. Users carry their jobs on their handheld
devices in the form of executables (and associated libraries). Users can
transparently view the status of their jobs and get back their outputs without
having to know where they are being executed. In this way, our system is able
to act as a high-throughput computing environment where devices ranging from
powerful desktop machines to small handhelds can employ the power of the Grid.
The results shown in this paper are readily applicable to the wider eScience
community.Comment: 8 pages, 7 figures. Presented at the 3rd Int Conf on Mobile Computing
& Ubiquitous Networking (ICMU06. London October 200
From Design to Production Control Through the Integration of Engineering Data Management and Workflow Management Systems
At a time when many companies are under pressure to reduce "times-to-market"
the management of product information from the early stages of design through
assembly to manufacture and production has become increasingly important.
Similarly in the construction of high energy physics devices the collection of
(often evolving) engineering data is central to the subsequent physics
analysis. Traditionally in industry design engineers have employed Engineering
Data Management Systems (also called Product Data Management Systems) to
coordinate and control access to documented versions of product designs.
However, these systems provide control only at the collaborative design level
and are seldom used beyond design. Workflow management systems, on the other
hand, are employed in industry to coordinate and support the more complex and
repeatable work processes of the production environment. Commercial workflow
products cannot support the highly dynamic activities found both in the design
stages of product development and in rapidly evolving workflow definitions. The
integration of Product Data Management with Workflow Management can provide
support for product development from initial CAD/CAM collaborative design
through to the support and optimisation of production workflow activities. This
paper investigates this integration and proposes a philosophy for the support
of product data throughout the full development and production lifecycle and
demonstrates its usefulness in the construction of CMS detectors.Comment: 18 pages, 13 figure
DIANA Scheduling Hierarchies for Optimizing Bulk Job Scheduling
The use of meta-schedulers for resource management in large-scale distributed
systems often leads to a hierarchy of schedulers. In this paper, we discuss why
existing meta-scheduling hierarchies are sometimes not sufficient for Grid
systems due to their inability to re-organise jobs already scheduled locally.
Such a job re-organisation is required to adapt to evolving loads which are
common in heavily used Grid infrastructures. We propose a peer-to-peer
scheduling model and evaluate it using case studies and mathematical modelling.
We detail the DIANA (Data Intensive and Network Aware) scheduling algorithm and
its queue management system for coping with the load distribution and for
supporting bulk job scheduling. We demonstrate that such a system is beneficial
for dynamic, distributed and self-organizing resource management and can assist
in optimizing load or job distribution in complex Grid infrastructures.Comment: 8 pages, 9 figures. Presented at the 2nd IEEE Int Conference on
eScience & Grid Computing. Amsterdam Netherlands, December 200
Predictive use of the Maximum Entropy Production principle for Past and Present Climates
In this paper, we show how the MEP hypothesis may be used to build simple
climate models without representing explicitly the energy transport by the
atmosphere. The purpose is twofold. First, we assess the performance of the MEP
hypothesis by comparing a simple model with minimal input data to a complex,
state-of-the-art General Circulation Model. Next, we show how to improve the
realism of MEP climate models by including climate feedbacks, focusing on the
case of the water-vapour feedback. We also discuss the dependence of the
entropy production rate and predicted surface temperature on the resolution of
the model
A Multi Interface Grid Discovery System
Discovery Systems (DS) can be considered as entry points for global loosely coupled distributed systems. An efficient Discovery System in essence increases the performance, reliability and decision making capability of distributed systems. With the rapid increase in scale of distributed applications, existing solutions for discovery systems are fast becoming either obsolete or incapable of handling such complexity. They are particularly ineffective when handling service lifetimes and providing up-to-date information, poor at enabling dynamic service access and they can also impose unwanted restrictions on interfaces to widely available information repositories. In this paper we present essential the design characteristics, an implementation and a performance analysis for a discovery system capable of overcoming these deficiencies in large, globally distributed environments
Detector Construction Management and Quality Control: Establishing and Using a CRISTAL System
The CRISTAL (Cooperating Repositories and an Information System for Tracking
Assembly Lifecycles) project is delivering a software system to facilitate the
management of the engineering data collected at each stage of production of
CMS. CRISTAL captures all the physical characteristics of CMS components as
each sub-detector is tested and assembled. These data are retained for later
use in areas such as detector slow control, calibration and maintenance.
CRISTAL must, therefore, support different views onto its data dependent on the
role of the user. These data viewpoints are investigated in this paper. In the
recent past two CMS Notes have been written about CRISTAL. The first note, CMS
1996/003, detailed the requirements for CRISTAL, its relationship to other CMS
software, its objectives and reviewed the technology on which it would be
based. CMS 1997/104 explained some important design concepts on which CRISTAL
is and showed how CRISTAL integrated the domains of product data man- agement
and workflow management. This note explains, through the use of diagrams, how
CRISTAL can be established for detector production and used as the information
source for analyses, such as calibration and slow controls, carried out by
physicists. The reader should consult the earlier CMS Notes and conference
papers for technical detail on CRISTAL - this note concentrates on issues
surrounding the practical use of the CRISTAL software.Comment: 16 pages, 14 figure
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