The Pegasus Workflow Management System encompasses a set of technologies which help workflow-based applications execute in a number of different environments, including desktops, campus clusters, grids, and clouds. It bridges the scientific domain and the execution environment by automatically mapping high-level workflow descriptions onto distributed resources. It automatically locates the necessary input data and computational resources necessary for workflow execution. It enables scientists to construct workflows in abstract terms without worrying about the details of the underlying execution environment or the particulars of the low-level specifications required by the middleware (Condor, Globus, or Amazon EC2). It bridges the current cyberinfrastructure by effectively coordinating multiple distributed resources.
|Tags||Workflows Scientific Computing Distributed Systems nsf NSF-SI2 Workflow|
|Operating Systems||Unix/Linux Debian-based Linux|
|Implementation||Java Python Perl flask SQLAlchemy SQLite|
Release Notes: Pegasus 4.2.2 is a minor release, with minor enhancements and fixes for bugs in Pegasus 4.2.0. Improvements include support for sever-side pagination for pegasus-dashboard, support for lcg-utils commandline clients to retrieve and push data to SRM servers, installation of Pegasus Python libraries in standard system locations, and examples for using CREAMCE and glite submissions.
Release Notes: This major release contains several improvements to data management capabilities, a new Web-based monitoring dashboard for supported job submission interfaces like CREAM CE, new replica catalog backends, support for PMC-only workflows and IO forwarding for PMC clustered jobs, and anonymous usage metrics reporting.