This document provides requirements and guidance to firewall administrators at sites that are deploying the Globus Toolkit clients and/or services. It describes the network traffic generated by using the Globus Toolkit, both in terms of what ports are used by what clients and services

-Notification specifications, and by its deep integration into essentially every component of the Globus Toolkit. We describe the MDS4 architecture and the Web service interfaces and behaviors that allow users to discover resources and services, monitor resource and service states, receive updates on current status

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computing; and by the need to achieve high levels of performance. The Globus toolkit has been developed with the goal of simplifying this application development task, by providing implementations of various core services deemed essential for high-performance distributed computing. In this paper, we

in managing a large-scale Grid system. This paper presents GREMO, a lightweight resource monitor developed with Globus Toolkit 4 (GT4) for monitoring CPU and memory of computing nodes in a Windows and Linux environments. 1.

In the course of eight TREC Conferences, retrieval performance of all systems started high and then declined. This was especially true for conference 5. Only in conferences 7 and 8 have performance levels reached those initially achieved. In this paper, scaling of the corpus of 450 TREC topics is performed. It is observed that as the visual dispersion of a topic set increases, the level of retrieval performance across systems declines for that set. Conversely, as the visual dispersion of topics decreases, system performance rises. In common elements of conferences 2, 5, and 8, this relationship appears to hold despite increases in the number of participating systems in TREC. It is proposed that visual dispersion measures should be used to describe topic set difficulty in addition to measures such as “hardness”.

, remote access to compute/data resource, etc., are available, it can be a challenge to rapidly integrate them into a new application. To address this difficulty we have begun the development of a Python based high-level interface to the Grid services provided by the Globus Toolkit [ref]. In this paper we

The BRIDGES project has been funded by the UK Department of Trade and Industry to develop a Grid infrastructure suitable for the research activities involved in the Wellcome Trust funded Cardiovascular Functional Genomics (CFG) project. The CFG project is investigating possible genetic causes of hypertension. Key requirements on this infrastructure are to link various distributed biomedical data sources together; to transparently address the different security requirements associated with those data resources, and develop tools for analysing and exploring those data sets. In this paper we discuss the security solutions that the BRIDGES team is pursuing through the first practical exploration

Abstract. The Globus Toolkit Monitoring and Discovery System (MDS4) defines and implements mechanisms for service and resource discovery and monitoring in distributed environments. MDS4 is distinguished from previous similar systems by its extensive use of interfaces and behaviors defined in the WS

technology is being deployed in numerous experiments through collaborations such as the EU DataGrid, the Grid Physics Network, and the Particle Physics Data Grid[1] . The Globus Toolkit is a widely used set of services designed to support the creation of these Grid infrastructures and applications