Multi-cloud management strategies for simulating IoT applications

The Internet of Things (IoT) paradigm is closely coupled with cloud technologies, and the support for managing sensor data is one of the primary concerns of Cloud Computing. IoT-Cloud systems are widely used to manage sensors and different smart devices connected to the cloud, hence a large amount o...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Márkus András
Dombi József Dániel
Testületi szerző: Conference of PhD students in computer science (11.) (2018) (Szeged)
Dokumentumtípus: Cikk
Megjelent: University of Szeged, Institute of Informatics Szeged 2019
Sorozat:Acta cybernetica 24 No. 1
Kulcsszavak:Számítástechnika
Tárgyszavak:
doi:10.14232/actacyb.24.1.2019.7

Online Access:http://acta.bibl.u-szeged.hu/59229
LEADER 02094nab a2200253 i 4500
001 acta59229
005 20220621091227.0
008 190717s2019 hu o 0|| eng d
022 |a 0324-721X 
024 7 |a 10.14232/actacyb.24.1.2019.7  |2 doi 
040 |a SZTE Egyetemi Kiadványok Repozitórium  |b hun 
041 |a eng 
100 1 |a Márkus András 
245 1 0 |a Multi-cloud management strategies for simulating IoT applications  |h [elektronikus dokumentum] /  |c  Márkus András 
260 |a University of Szeged, Institute of Informatics  |b Szeged  |c 2019 
300 |a 83-103 
490 0 |a Acta cybernetica  |v 24 No. 1 
520 3 |a The Internet of Things (IoT) paradigm is closely coupled with cloud technologies, and the support for managing sensor data is one of the primary concerns of Cloud Computing. IoT-Cloud systems are widely used to manage sensors and different smart devices connected to the cloud, hence a large amount of data is generated by these things that need to be efficiently stored and processed. Simulation platforms have the advantage of enabling the investigation of complex systems without the need of purchasing and installing physical resources. In our previous work, we chose the DISSECT-CF simulator to model IoT-Cloud systems, and we also introduced provider pricing models to enable cost-aware policies for experimentation. The aim of this paper is to further extend the simulation capabilities of this tool by enabling multi-cloud resource management. In this paper we introduce four cloud selection strategies aimed to reduce application execution time and utilization costs. We detail our proposed method towards multi-cloud extension, and evaluate the defined strategies through scenarios of a meteorological application. 
650 4 |a Természettudományok 
650 4 |a Számítás- és információtudomány 
695 |a Számítástechnika 
700 0 1 |a Dombi József Dániel  |e aut 
710 |a Conference of PhD students in computer science (11.) (2018) (Szeged) 
856 4 0 |u http://acta.bibl.u-szeged.hu/59229/1/actacyb_24_1_2019_083_103.pdf  |z Dokumentum-elérés