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Globus Toolkit

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Globus Toolkit
NameGlobus Toolkit
DeveloperUniversity of Chicago, Argonne National Laboratory
Released0 1998
Latest release version6.0
Latest release date15 January 2013
Programming languageC, Java, Python
Operating systemCross-platform
GenreGrid computing, Middleware
LicenseApache License 2.0

Globus Toolkit. It is an open-source software toolkit originally developed for building computational grid systems, enabling secure, federated resource sharing across institutional boundaries. The project was pioneered by researchers at the University of Chicago and Argonne National Laboratory, becoming a foundational technology for large-scale scientific e-Science collaborations. Its components provided essential services for data management, job execution, and security in distributed computing environments, influencing the development of modern cloud computing and high-performance computing infrastructures.

Overview

The toolkit emerged from the Globus Project, a collaborative research initiative aimed at solving the complex problems of wide-area network computing. It provided a de facto standard set of protocols and services, most notably the Grid Security Infrastructure (GSI), which became widely adopted for authentication in scientific grids. Its design philosophy emphasized interoperability and community-driven standards, contributing significantly to the Open Grid Services Architecture (OGSA). The software was instrumental in major international projects like the Large Hadron Collider's Worldwide LHC Computing Grid and the Earth System Grid.

Core Components

Key modules included the Grid Resource Allocation Manager (GRAM) for submitting and managing computational jobs on remote systems. The GridFTP protocol provided high-performance, secure, and reliable data transfer, heavily utilized by projects such as the LIGO Scientific Collaboration. For monitoring and discovery, the Monitoring and Discovery System (MDS) offered information about available resources. Other critical components were the Replica Location Service (RLS) for tracking distributed data files and the X.509 certificate-based GSI for creating a unified security layer across heterogeneous resources.

Architecture and Design

The architecture was built on a service-oriented model, evolving to align with web services standards through the Web Services Resource Framework (WSRF). This allowed resources like computational clusters or storage systems to be represented as stateful services. Security was architected around public-key infrastructure and delegation capabilities, allowing users to authenticate once and then have agents act on their behalf. The design promoted loose coupling between components, enabling communities to deploy subsets of the toolkit, such as in the Open Science Grid, to meet specific needs.

Applications and Use Cases

It served as the middleware backbone for numerous flagship scientific endeavors. In physics, it managed distributed processing for experiments at CERN and the Brookhaven National Laboratory. Within climate science, the Earth System Grid federation used its data services for sharing massive climate model datasets. The biomedical research community applied it in projects like the Biomedical Informatics Research Network (BIRN). Furthermore, it provided the foundational infrastructure for early national cyberinfrastructure initiatives, including the TeraGrid in the United States.

Development and History

Initial development began in the late 1990s led by Ian Foster and Carl Kesselman, with funding from agencies like the United States Department of Energy and the National Science Foundation. The release of version 2.0 in 1999 established its core protocols. A major shift occurred with version 4.0, which re-implemented components using web service standards. The final sustained release was version 6.0 in 2013. While active development has concluded, its concepts and code live on in commercial and open-source successors, and the nonprofit Globus (organization) now maintains the Globus (service) platform for research data management.

Its concepts directly influenced later distributed computing platforms and standards. The Condor high-throughput computing system often integrated with it for resource management. The shift towards cloud paradigms saw overlap with projects like Apache Hadoop and its ecosystem for data-intensive computing. Modern research computing platforms, such as the European Grid Initiative (EGI) and the Open Science Grid, evolved from grids built using this toolkit. Contemporary services for science, including the Globus (service), Science DMZ architectures, and identity federations like InCommon, inherit design principles from its security and data transfer components. Category:Grid computing Category:Free science software Category:Middleware