کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4950492 | 1440646 | 2017 | 45 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A robust reliable energy-aware urgent computing resource allocation for flash-flood ensemble forecasting on HPC infrastructures for decision support
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
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چکیده انگلیسی
Forecasting severe hydro-meteorological events under time constraints requires reliable and robust models, which facilitate energy-aware allocations on high performance computing infrastructures. We present an innovative approach to quantify the performance of six heuristics in selecting optimal allocations to distributed HPC resources for an ensemble of meteorological forecasts for a flash-flood producing storm in Genoa (Liguria, Italy) in October 2014. The computing environments are expected to be dynamic and heterogeneous in nature with varying availability, performance and energy-to-solution. The results of the allocations are assessed and compared. The aim is to provide a robust, reliable and energy-aware resource allocation for ensembles of forecasts for time-critical decision support.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 68, March 2017, Pages 136-149
Journal: Future Generation Computer Systems - Volume 68, March 2017, Pages 136-149
نویسندگان
Siew Hoon Leong, Antonio Parodi, Dieter Kranzlmüller,