Szczegóły publikacji
Opis bibliograficzny
Dedicated IT infrastructure for smart levee monitoring and flood decision support / Bartosz BALIŚ, Tomasz BARTYŃSKI, Robert BRZOZA-WOCH, Marian BUBAK, Daniel HARĘŹLAK, Marek KASZTELNIK, Marek KONIECZNY, Bartosz KWOLEK, Maciej MALAWSKI, Piotr NAWROCKI, Piotr NOWAKOWSKI, Tomasz SZYDŁO, Bartosz WILK, Krzysztof ZIELIŃSKI // E3S Web of Conferences [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2267-1242. — 2016 — vol. 7 art. no. 14008, s. 1–10. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://goo.gl/bRuafq [2016-12-07]. — Bibliogr. s. 9–10, Abstr. — Publikacja dostępna online od: 2016-10-20. — FLOODrisk 2016 : 3rd European conference on Flood Risk Management : October 17–21, 2016, Lyon, France
Autorzy (14)
Dane bibliometryczne
| ID BaDAP | 102669 |
|---|---|
| Data dodania do BaDAP | 2016-12-15 |
| DOI | 10.1051/e3sconf/20160714008 |
| Rok publikacji | 2016 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | E3S Web of Conferences |
Abstract
Smart levees are being increasingly investigated as a flood protection technology. However, in large-scale emergency situations, a flood decision support system may need to collect and process data from hundreds of kilometers of smart levees; such a scenario requires a resilient and scalable IT infrastructure, capable of providing urgent computing services in order to perform frequent data analyses required in decision making, and deliver their results in a timely fashion. We present the ISMOP IT infrastructure for smart levee monitoring, designed to support decision making in large-scale emergency situations. Most existing approaches to urgent computing services in decision support systems dealing with natural disasters focus on delivering quality of service for individual, isolated subsystems of the IT infrastructure (such as computing, storage, or data transmission). We propose a holistic approach to dynamic system management during both urgent (emergency) and normal (non-emergency) operation. In this approach, we introduce a Holistic Computing Controller which calculates and deploys a globally optimal configuration for the entire IT infrastructure, based on cost-of-operation and quality-of-service (QoS) requirements of individual IT subsystems, expressed in the form of Service Level Agreements (SLAs). Our approach leads to improved configuration settings and, consequently, better fulfilment of the system’s cost and QoS requirements than would have otherwise been possible had the configuration of all subsystems been managed in isolation.