20.500.12556/RUL-132104 A capillary computing architecture for dynamic Internet of Things orchestration of microservices from edge devices to fog and cloud providers The adoption of advanced Internet of Things (IoT) technologies has impressively improved in recent years by placing such services at the extreme Edge of the network. There are, however, specific Quality of Service (QoS) trade-offs that must be considered, particularly in situations when workloads vary over time or when IoT devices are dynamically changing their geographic position. This article proposes an innovative capillary computing architecture, which benefits from mainstream Fog and Cloud computing approaches and relies on a set of new services, including an Edge/Fog/Cloud Monitoring System and a Capillary Container Orchestrator. All necessary Microservices are implemented as Docker containers, and their orchestration is performed from the Edge computing nodes up to Fog and Cloud servers in the geographic vicinity of moving IoT devices. A car equipped with a Motorhome Artificial Intelligence Communication Hardware (MACH) system as an Edge node connected to several Fog and Cloud computing servers was used for testing. Compared to using a fixed centralized Cloud provider, the service response time provided by our proposed capillary computing architecture was almost four times faster according to the 99th percentile value along with a significantly smaller standard deviation, which represents a high QoS. Internet of Things container-based virtualization edge computing fog computing microservices on/offloading internet stvari vizualizacija z uporabo vsebnikov rob omrežja računalništvo v megli mikro-servisi true false true Angleški jezik Slovenski jezik Članek v reviji 2021-10-13 08:26:44 2021-10-13 08:26:50 2022-09-12 04:11:03 0000-00-00 00:00:00 2018 0 0 23 str. iss. 9, art. 2938 Vol. 18 2018 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.738.5 1424-8220 10.3390/s18092938 8522593 RAZ_Taherizadeh_Salman_2018.pdf RAZ_Taherizadeh_Salman_2018.pdf 1 C0A0D98281BEE9BF19ACA0B2AF42480A 2636feb0d8c4f80eff26827fa045f6bd229459bbced3bb8068fe62bcbf7366c2 286d6827-2bf0-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149633 http://www.mdpi.com/1424-8220/18/9/2938 1 8db86a23-2bee-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149626 Fakulteta za gradbeništvo in geodezijo 0 0 0