Performance optimization of edge computing homeland security support applications
Authors:
- Marco Gribaudo,
- Mauro Iacono,
- Agnieszka Jakóbik,
- Joanna Kołodziej
Abstract
Critical distributed applications have strict requirements over performance parameters, that may affect life of users. This is a limitation that may prevent the exploitation of cost effective solutions such as Cloud Computing (CC) based architectures: in fact, the quality of the connection with the CC facility and the lack of control on cloud resources may limit the overall performances of an application and may cause outages. A way to overcome the problem, and disclose the advantages of CC to critical applications, is provided by Edge Computing (EC). EC adds local support to CC, allowing a better distribution of application tasks according to their timeliness requirements. In this paper we present an innovative Special Weapons And Tactics (SWAT) support application, designed to empower effective operations in wide scenarios, that leverages EC to join CC elasticity and local immediateness, and we exploit Queuing Networks (QN) and Genetic Algorithms (GA) to design and optimize the system parameters for an effective workload distribution.
- Record ID
- CUT9627b2bb322248bb97b98b21d2851c19
- Publication categories
- ; ;
- Author
- Pages
- 440-446
- Other elements of collation
- schem.; tab.; wykr.; Bibliografia (na s.) - 445-446; Bibliografia (liczba pozycji) - 26; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Punktacja MNiSW/MEiN (rozdział) - 5
- Book
- Nolle Lars, Lars Nolle Burger Alexandra, Alexandra Burger Tholen Christoph Christoph Tholen [et al.] (eds.): 32nd European Conference on Modelling and Simulation ECMS 2018, May 22nd – May 25th, 2018, Wilhelmshaven, Germany : proceedings, European Conference for Modelling and Simulation, 2018, Sbr.-Dudweiler, European Council for Modelling and Simulation, ISBN 978-0-9932440-6-3 (print)
- Keywords in English
- edge computing, cloud computing, performance evaluation, emergency response, queuing networks, genetic algorithms
- DOI
- DOI:10.7148/2018-0440 Opening in a new tab
- URL
- http://www.scs-europe.net/dlib/dl-index.htm Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 70
- Additional fields
- Indeksowana w: Web of Science, Scopus, CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT9627b2bb322248bb97b98b21d2851c19/
- URN
urn:pkr-prod:CUT9627b2bb322248bb97b98b21d2851c19
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.