Condor-G: A Computation Management Agent for Multi-Institutional Grids

By J. Frey, Todd Tannenbaum, Miron Livny, Ian T Foster, Steven Tuecke. Proceedings 10th IEEE International Symposium on High Performance Distributed Computing, 2001

1,498 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/1a8c9b2ecb92e7e1aacf7823a4f43bc1acd850fe

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Citations in the corpus

Many-task computing for grids and supercomputers (2008, background): “High throughput computing [12], a term coined by Miron Livny within the Condor project [14], to contrast workloads for which the key metric is not floating per second (as in high performance computi month or year.”
Swift: A language for distributed parallel scripting (2011, background): “Coasters [15] is a form of multilevel scheduling similar to pilot jobs [16].”
E-services: a look behind the curtain (2003, background): “Because many of the individual computations last days or weeks, the system underlying the abstract model must address a variety of issues involving asynchronous events and automated recovery [34].”
The Pilot Way to Grid Resources Using glideinWMS (2009, methodology): “Condor itself provides a basic pilot job infrastructure, in the form of a command line tool, called “condor_glidein”[8].”
Programming the Grid with gLite (2006, methodology): “The authors particularly thank Miron Livny from the Condor team and Kate Keahey from the Globus team for many stimulating discussions and their contributions to the overall design of gLite.”
The Anatomy of the Grid: Enabling Scalable Virtual Organizations (2001, methodology): “Condor-G represents a first step toward this goal (Frey et al., 2001).”
Economic-based Distributed Resource Management and Scheduling for Grid Computing (2002, methodology): “The Condor has been extended to support submission of jobs to resources Grid-enabled using Globus servcies [57].”
Pegasus: Mapping Scientific Workflows onto the Grid (2004, methodology): “Given the submit files DAGMan submits jobs to Condor-G [ 18 ] for execution.”
Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud (2011, methodology): “Pegasus uses DAGMan and Condor-G [13] as its execution engine.”
A Survey of Data-Intensive Scientific Workflow Management (2015, background): “Condor-G has a queue of tasks and it schedules a task in this queue to a computing node in the selected site once this computing node is idle [54, 87].”
Mapping Abstract Complex Workflows onto Grid Environments (2003, methodology): “In order to be able to execute the workflow, CWG generates submit files which are given to Condor-G and the associated DAGMan for execution.”
Stork: making data placement a first class citizen in the grid (2004, background): “DAGMan then submits computational jobs to Condor/Condor-G, and data placement jobs to Stork. modularity of Stork allows users to insert a plug-in to support their favorite storage system, protocol, or middleware easily.”