Szczegóły publikacji
Opis bibliograficzny
Execution management and efficient resource provisioning for flood decision support / Bartosz BALIŚ, Marek KASZTELNIK, Maciej MALAWSKI, Piotr NOWAKOWSKI, Bartosz WILK, Maciej PAWLIK, Marian BUBAK // Procedia Computer Science [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1877-0509. — 2015 — vol. 51, s. 2377–2386. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 2385–2386, Abstr. — Publikacja dostępna online od: 2015-06-01. — International Conference On Computational Science : ICCS 2015 Computational Science at the Gates of Nature
Autorzy (7)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 104186 |
|---|---|
| Data dodania do BaDAP | 2017-02-21 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.procs.2015.05.412 |
| Rok publikacji | 2015 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Procedia Computer Science |
Abstract
We present a resource provisioning and execution management solution for a flood decision support system. The system, developed within the ISMOP project, features an urgent computing scenario in which flood threat assessment for large sections of levees is requested within a specified deadline. Unlike typical decision support systems which utilize heavyweight simulations in order to predict the possible course of an emergency, in ISMOP we employ an alternative approach based on the 'scenario identification' method. We show that this approach is a particularly good fit for the resource provisioning model of IaaS Clouds. We describe the architecture of the ISMOP decision support system, focusing on the urgent computing scenario and its formal resource provisioning model. Preliminary results of experiments performed in order to calibrate and validate the model indicate that the model fits experimental data.
