Pegasus: Mapping Scientific Workflows onto the Grid

By Ewa Deelman, J. Blythe, Yolanda Gil, Carl Kesselman, Gaurang Mehta, Sonal Patil, Mei-Hui Su, Karan Vahi, Miron Livny. European Across Grids Conference, 2004

591 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/f524244c8e974a986ec15d05d3b4d422c936edd5

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In Computer Networks and Communications

In Information Systems and Management

Citations in the corpus

Scheduling of scientific workflows in the ASKALON grid environment (2005, methodology): “In [3] Deelman proposed a scheduling strategy based on initial partitioning of the workflow into sequential subworkflows , that are scheduled sequentially one after another.”
Characterization of scientific workflows (2008, methodology): “We make these synthetic workflows available to the application community for study and comparison in the DAX (Directed Acyclic Graph in XML) format, which can be directly ingested by some workflow management systems such as Pegasus [2] or converted into input formats for other workflow systems.”
A data placement strategy in scientific cloud workflows (2010, unknown): “For examples, Kepler uses the SRB [26] system, while Pegasus [2] and Triana [27] adopt the RLS system [28], Gridbus [29] has a grid service broker [30] where all data are deemed as important resources.”
The iPlant Collaborative: Cyberinfrastructure for Plant Biology (2011, background): “…al., 2006; Kawas et al., 2006; Krabbenhoft et al., 2008; Lanzen and Oinn, 2008; Li et al., 2008; Wassink et al., 2009; Kano et al., 2010), Pegasus (Deelman et al., 2004), and Kepler (Altintas et al., 2004; Ludascher et al., 2006), various third party Web applications, and other RESTful web…”
Pegasus: A framework for mapping complex scientific workflows onto distributed systems (2005, background): “Many applications today are being built by large scientific collaborations such as those in physics [1] [2], astronomy [3], biology [4], earthquake science [5], and many others.”
Resource allocation in the grid using reinforcement learning (2004, methodology): “The Pegasus system [11] includes a random job placement behavior to spread small parts of an overall workflow onto Grid resources.”
A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis (2010, methodology): “For example, given a high-performance and distributed spatial analysis based on CI, the dependencies of several jobs can be represented using a directed acyclic graph (DAG; see Figure 6) that is commonly used to characterize CI-based workﬂows (Frey et al. 2002; Deelman et al. 2004).”
Characterizing and profiling scientific workflows (2013, methodology): “We present an execution profile for each workflow running at a typical scale and managed by the Pegasus workflow management system [27–29].”