12,443 research outputs found
Enhancing Job Scheduling of an Atmospheric Intensive Data Application
Nowadays, e-Science applications involve great deal of data to have more accurate analysis. One of its application domains is the Radio Occultation which manages satellite data. Grid Processing Management is a physical infrastructure geographically distributed based on Grid Computing, that is implemented for the overall processing Radio Occultation analysis. After a brief description of algorithms adopted to characterize atmospheric profiles, the paper presents an improvement of job scheduling in order to decrease processing time and optimize resource utilization. Extension of grid computing capacity is implemented by virtual machines in existing physical Grid in order to satisfy temporary job requests. Also scheduling plays an important role in the infrastructure that is handled by a couple of schedulers which are developed to manage data automaticall
High-Throughput Computing on High-Performance Platforms: A Case Study
The computing systems used by LHC experiments has historically consisted of
the federation of hundreds to thousands of distributed resources, ranging from
small to mid-size resource. In spite of the impressive scale of the existing
distributed computing solutions, the federation of small to mid-size resources
will be insufficient to meet projected future demands. This paper is a case
study of how the ATLAS experiment has embraced Titan---a DOE leadership
facility in conjunction with traditional distributed high- throughput computing
to reach sustained production scales of approximately 52M core-hours a years.
The three main contributions of this paper are: (i) a critical evaluation of
design and operational considerations to support the sustained, scalable and
production usage of Titan; (ii) a preliminary characterization of a next
generation executor for PanDA to support new workloads and advanced execution
modes; and (iii) early lessons for how current and future experimental and
observational systems can be integrated with production supercomputers and
other platforms in a general and extensible manner
Target and (Astro-)WISE technologies - Data federations and its applications
After its first implementation in 2003 the Astro-WISE technology has been
rolled out in several European countries and is used for the production of the
KiDS survey data. In the multi-disciplinary Target initiative this technology,
nicknamed WISE technology, has been further applied to a large number of
projects. Here, we highlight the data handling of other astronomical
applications, such as VLT-MUSE and LOFAR, together with some non-astronomical
applications such as the medical projects Lifelines and GLIMPS, the MONK
handwritten text recognition system, and business applications, by amongst
others, the Target Holding. We describe some of the most important lessons
learned and describe the application of the data-centric WISE type of approach
to the Science Ground Segment of the Euclid satellite.Comment: 9 pages, 5 figures, Proceedngs IAU Symposium No 325 Astroinformatics
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