NorduGrid
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| NorduGrid | |
|---|---|
| Name | NorduGrid |
| Type | Research infrastructure |
| Established | 2001 |
| Focus | Distributed computing, grid computing, high-throughput computing |
| Headquarters | Scandinavia |
| Founders | Jens Jensen, Torsten Hoefler, Erik Elmroth |
NorduGrid NorduGrid was a collaborative initiative to build a distributed computing infrastructure for high-throughput scientific computation across Nordic institutions and international partners. It originated to connect research organizations, laboratories, and universities to support large-scale experiments, data analysis, and simulation workloads in fields such as particle physics, bioinformatics, climate science, and astronomy. The project interacted with major projects and institutions across Europe and North America to deliver interoperable middleware, resource brokering, and site deployment services.
History
The initiative began in the early 2000s with participants from CERN, Nordic Council of Ministers, Uppsala University, Niels Bohr Institute, and Chalmers University of Technology collaborating alongside projects like EGEE, Enabling Grids for E-sciencE, European Grid Infrastructure, Open Science Grid, and PRACE. Early milestones included interoperability tests with Globus Toolkit, cooperation with European Organization for Nuclear Research teams working on Large Hadron Collider experiments such as ATLAS experiment and CMS experiment, and contributions to the design of regional grid policies with stakeholders including NordUnet and Nordic e-Infrastructure Collaboration. The project engaged with national research councils such as Swedish Research Council, Danish Agency for Science and Higher Education, and Norwegian Research Council to align infrastructure strategy. Later phases emphasized transition to cloud paradigms interacting with Amazon Web Services, Google Cloud Platform, and initiatives like OpenStack and Kubernetes in academic contexts.
Architecture and Components
The architecture combined resource federation, information services, job scheduling, and data management modeled after concepts tested by Globus Toolkit, Condor (HTCondor), PBS Professional, and Sun Grid Engine. Core components encompassed resource brokering inspired by work at Lawrence Berkeley National Laboratory, information indexing akin to LDAP deployments at CERN, and secure communication leveraging standards championed by Internet Engineering Task Force and implementations similar to OpenSSL. Storage integration was demonstrated with systems like dCache, CASTOR, XRootD, and object stores used by European Southern Observatory and Max Planck Society facilities. Authentication and authorization workflows referenced designs compatible with Shibboleth and eduGAIN federations, and certificate authorities aligned with practices from Nordic eID initiatives and European Grid Infrastructure trust frameworks.
Middleware and Software
NorduGrid produced middleware components and site tools that interoperated with established stacks such as Globus Toolkit and gLite while offering its own solutions for job description, monitoring, and data transfer comparable to HTCondor and GridFTP. The software suite included a lightweight information service, user client tools, a resource broker, and connectors for batch systems used at institutions like Karolinska Institute, Technical University of Denmark, and University of Oslo. Development and testing referenced continuous integration practices found at GitHub, GitLab, and development methodologies used by Apache Software Foundation. Compatibility testing occurred with middleware projects from European Middleware Initiative and with computing models deployed by collaborations such as ALICE (A Large Ion Collider Experiment) and LIGO Scientific Collaboration.
Deployments and Use Cases
Deployments spanned academic data centers, national laboratories, and observatories including nodes associated with Uppsala University, Stockholm University, University of Copenhagen, University of Bergen, and Aalto University. Use cases included processing pipelines for the Large Hadron Collider, workload distribution for climate modeling groups connected to SMHI, genomics workflows used by European Bioinformatics Institute, and sky-survey processing linked to Sloan Digital Sky Survey. Collaborative initiatives included support for multidisciplinary projects funded by Horizon 2020, experimental workflows for CERN OpenLab, and regional e-infrastructure programs coordinated with Nordic Data Grid Facility and Nordic e-Infrastructure Collaboration partners. Specific scientific consumers included teams from European Space Agency, Max Planck Institute for Astrophysics, Karlsruhe Institute of Technology, and Instituto de Física Teórica.
Governance and Development
Governance combined academic steering groups, technical advisory boards, and liaison relationships with European bodies such as European Commission research directorates, European Grid Infrastructure operations teams, and national funding agencies including Swedish Research Council and Danish Agency for Science and Higher Education. Development followed open-source release models similar to those promoted by Free Software Foundation and community practices used by projects such as Debian and Ubuntu. Collaborations ran joint workshops and training with CERN School of Computing, Middleware Summer School, and regional events organized in partnership with NordUnet. Intellectual property and licensing decisions referenced policies aligned with European Research Area principles and best practices used by Apache Software Foundation and Eclipse Foundation projects.
Performance and Evaluation
Performance evaluation employed metrics and benchmarks comparable to studies from Oak Ridge National Laboratory, Lawrence Livermore National Laboratory, and academic analyses published in venues such as ACM SIGPLAN, IEEE Transactions on Parallel and Distributed Systems, and proceedings of Supercomputing Conference. Scalability tests examined job throughput, data transfer rates, and middleware robustness under loads similar to those reported by WLCG operations for ATLAS experiment workflows. Operational reviews assessed security posture against guidance from ENISA and interoperability with cloud providers like Amazon Web Services and Google Cloud Platform. Evaluations influenced subsequent adoption of containerization approaches promoted by Docker and orchestration patterns from Kubernetes in research infrastructures.