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DIRAC (Distributed Infrastructure with Remote Agent Control)

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DIRAC (Distributed Infrastructure with Remote Agent Control)
NameDIRAC (Distributed Infrastructure with Remote Agent Control)
TitleDIRAC
AuthorEuropean Organization for Nuclear Research
DeveloperDIRAC Collaboration
Released2003
Latest releaseongoing
Operating systemCross-platform
GenreGrid computing, workload management
LicenseOpen-source

DIRAC (Distributed Infrastructure with Remote Agent Control) is a distributed workload management and data management system originally developed for large-scale scientific experiments. It was conceived to coordinate computing resources across heterogeneous sites for projects such as Large Hadron Collider, LHCb, CERN Grid, and later adopted by collaborations including Belle II, CTA Observatory, and Square Kilometre Array. The project integrates technologies from communities around European Organization for Nuclear Research, GridPP, and EGI to provide unified job submission, data handling, and monitoring.

Overview

DIRAC was initiated to solve challenges in coordinating computing for experiments like LHCb and interacts with infrastructure projects such as Open Science Grid, Worldwide LHC Computing Grid, and European Grid Infrastructure. The system orchestrates workload management, data replication, and certificate-based authentication integrating services pioneered by Globus Toolkit, Apache HTTP Server, and OpenSSL. DIRAC's roots connect to research infrastructures including CERN, STFC, and collaborations like INFN, CNRS, and NIKHEF.

Architecture and Components

The DIRAC architecture separates control-plane services and worker agents, employing queuing and brokerage components comparable to designs in HTCondor, ARC middleware, and gLite. Core components include a Workload Management System similar to PanDA and a Data Management System akin to Rucio or DQ2, with an Information System inspired by BDII and LDAP directory concepts. The pilot-agent model uses central services and remote agents analogous to models used by GlideinWMS and integrates monitoring compatible with Nagios and Grafana stacks. Authentication and authorization leverage standards from X.509 and coordination with identity federations such as eduGAIN.

Deployment and Operations

Deployment practices follow patterns used by CERN service rollouts and site operations modeled after WLCG procedures, with installation orchestration via packaging frameworks similar to YUM and APT and containerization strategies inspired by Docker and Kubernetes. Operations teams adopt incident-response processes influenced by ITIL and runbooks akin to those used by EMBL-EBI and Fermilab computing centres. Integration with storage systems references implementations like EOS, DPM, and Ceph, while networking and transfer operations rely on tools comparable to FTS and GridFTP.

Use Cases and Applications

DIRAC has been applied in high-energy physics experiments such as LHCb and Belle II, astrophysics projects including CTA Observatory and SKA, and in interdisciplinary e-infrastructures connected to European Open Science Cloud and EOSC. It supports Monte Carlo production workflows used by collaborations like ATLAS and CMS as well as data analysis campaigns seen in IceCube and Auger Observatory. DIRAC's modularity enables adoption by industry partners and research infrastructures including CINECA and GRNET for workload orchestration and provenance tracking similar to systems used by Zenodo and Dataverse.

Performance and Scalability

DIRAC's pilot-based scheduling and brokerage permit horizontal scaling across resources comparable to strategies in HTCondor and PanDA, enabling throughput measured in thousands of concurrent jobs as demonstrated in campaigns run by LHCb and Belle II. Scalability testing references methodologies from SPEC benchmarks and stress scenarios analogous to those conducted by WLCG and GridPP. Performance tuning interacts with storage federation designs like EOS and network provisioning similar to setups in GEANT research backbones.

Security and Access Control

Security mechanisms use X.509 certificate paradigms common to ICANN-trusted PKI hierarchies and integrate virtual organization models akin to VOMS and federated identity approaches used by eduGAIN and CILogon. Authorization patterns mirror role-based frameworks adopted by CERN and STFC computing services, while audit trails and logging practices align with compliance regimes practiced at EMBL-EBI and Fermilab. Secure data transfers draw on protocols with heritage in GridFTP and standards influenced by IETF.

Development and Community

The DIRAC Collaboration includes contributors from institutions such as CERN, STFC Rutherford Appleton Laboratory, IN2P3, LAPP, and IFAE, and coordinates with projects like EGI and Amherst academic groups for outreach. Development workflows follow practices used by GitHub communities and continuous integration patterns inspired by Jenkins and GitLab CI/CD, with software engineering methods aligned to collaboration models used by LHCb and Belle II. Training and documentation efforts mirror knowledge-transfer programs run by CERN and regional grids such as GridPP.

Category:Grid computing Category:High-energy physics software Category:Distributed computing