Platform Load Sharing Facility (or simply LSF) is a workload management platform, job scheduler, for distributed high performance computing. It can be used to execute batch jobs on networked Unix and Windows systems on many different architectures. LSF was based on the Utopia research project at the University of Toronto.
In 2007, Platform released Platform Lava, which is a simplified version of LSF based on an old version of LSF release, licensed under GNU General Public License v2. The project was discontinued in 2011, succeeded by OpenLava.
In January, 2012, Platform Computing was acquired by IBM.
Video Platform LSF
LSF add-on products
- IBM Platform Application Center: Web interfaces for job submission, management and remote visualization.
- IBM Platform RTM: A real-time dashboard for monitoring global workloads and resource.
- IBM Platform License Scheduler: License management tool with policy-driven allocation and tracking of software licenses.
- IBM Platform Analytic : Analytic tool for visualizing and analyzing workload data.
- IBM Platform Process Manager: An interface for designing complex engineering computational processes
- IBM Platform Session Scheduler: Scheduling for LSF
- IBM Platform Dynamic Cluster: Cloud management software to change static cluster into dynamic share cloud resources
Maps Platform LSF
LSF Extensions and integrations
LSF extensions include:
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- DRMAA
- The Distributed Resource Management Application API handles job management in a range of distributed resource management systems.
- HPC Profile Basic
- This describes how JSDL, Basic Execution Service (BES) and existing web services security mechanisms can be used interoperable to address batch job scheduling use case.
- LSF Perl API
- This comprises two modules, Base and Batch, allowing Platform's LSF APIs to be called by Perl.
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- Base module allows Perl applications to link the Load Information Manager (LIM) and Remote Execution Server (RES) daemons for LSF services e.g. retrieving system configuration and dynamic load information for distributed clusters hosts, task placement advice via LIM, and other related functions, thereby improving application performance and resources accessibility.
- Batch module allows Perl applications to retrieve information as well as the submission of information about the hosts, queues, users, jobs and configuration of the batch system.
- SAGA (Simple API for Grid Applications)
- The SAGA C++ Reference Implementation provides an LSF plug-in (adaptor) for its standardized job submission, control and monitoring API. The API is available for C++ and Python.
- Python LSF wrappers
- LSF's API written in C can be easily accessed using Python. Several implementations of LSF Python APIs exist.
LSF is one of the job scheduler mechanisms supported by the Grid Resource Allocation Manager (GRAM) component of the Globus Toolkit.
References
Further reading
- Robert Marcus (2002). Great Global Grid. Trafford Publishing. pp. 258-259. ISBN 9781553698845.
- Grabowski, Tomasz (December 5, 2001). "Platform LSF SetUID Executables Vulnerability". Juniper Networks. Retrieved 2007-11-12.
- Ahmar Abbas (2004). Grid Computing. Charles River Media. pp. 110-117. ISBN 9781584502760.
- "NetworkComputer - Industry's Fastest Enterprise Job Scheduler".
External links
- IBM Platform Computing
- HPCCommunity.org HPC Community Discussion for various High Performance Computing related Projects
- Runtime Inc. Enterprise Job Scheduler Scalable Solutions for High Performance Distributed Computing for Commercial Applications
Source of the article : Wikipedia
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