Pregled bibliografske jedinice broj: 1172930
Dynamic Scheduling of Contextually Categorised Internet of Things Services in Fog Computing Environment
Dynamic Scheduling of Contextually Categorised Internet of Things Services in Fog Computing Environment // Sensors, 22 (2022), 2; 465, 26 doi:10.3390/s22020465 (međunarodna recenzija, članak, znanstveni)
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Naslov
Dynamic Scheduling of Contextually Categorised
Internet of Things Services in Fog Computing
Environment
Autori
Krivic, Petar ; Kusek, Mario ; Cavrak, Igor ; Skocir, Pavle
Izvornik
Sensors (1424-8220) 22
(2022), 2;
465, 26
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
fog computing ; Internet of Things (IoT) ; context-aware systems ; service scheduling ; service categorization ; smart environments ; service orchestration ; QoS
Sažetak
Fog computing emerged as a concept that responds to the requirements of upcoming solutions requiring optimizations primarily in the context of the following QoS parameters: latency, throughput, reliability, security, and network traffic reduction. The rapid development of local computing devices and container-based virtualization enabled the application of fog computing within the IoT environment. However, it is necessary to utilize algorithm-based service scheduling that considers the targeted QoS parameters to optimize the service performance and reach the potential of the fog computing concept. In this paper, we first describe our categorization of IoT services that affects the execution of our scheduling algorithm. Secondly, we propose our scheduling algorithm that considers the context of processing devices, user context, and service context to determine the optimal schedule for the execution of service components across the distributed fog-to-cloud environment. The conducted simulations confirmed the performance of the proposed algorithm and showcased its major contribution—dynamic scheduling, i.e., the responsiveness to the volatile QoS parameters due to changeable network conditions. Thus, we successfully demonstrated that our dynamic scheduling algorithm enhances the efficiency of service performance based on the targeted QoS criteria of the specific service scenario.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Poveznice na cjeloviti tekst rada:
doi www.mdpi.com www.mdpi.comPoveznice na istraživačke podatke:
doi.orgCitiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE