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A capillary computing architecture for dynamic Internet of Things : orchestration of microservices from edge devices to fog and cloud providers
ID Taherizadeh, Salman (Avtor), ID Stankovski, Vlado (Avtor), ID Grobelnik, Marko (Avtor)

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Izvleček
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.

Jezik:Angleški jezik
Ključne besede:Internet of Things, container-based virtualization, edge computing, fog computing, microservices, on/offloading
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGG - Fakulteta za gradbeništvo in geodezijo
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2018
Št. strani:23 str.
Številčenje:Vol. 18, iss. 9, art. 2938
PID:20.500.12556/RUL-132104 Povezava se odpre v novem oknu
UDK:004.738.5
ISSN pri članku:1424-8220
DOI:10.3390/s18092938 Povezava se odpre v novem oknu
COBISS.SI-ID:8522593 Povezava se odpre v novem oknu
Datum objave v RUL:13.10.2021
Število ogledov:570
Število prenosov:134
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
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Gradivo je del revije

Naslov:Sensors
Skrajšan naslov:Sensors
Založnik:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:04.09.2018

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:internet stvari, vizualizacija z uporabo vsebnikov, rob omrežja, računalništvo v megli, mikro-servisi

Projekti

Financer:EC - European Commission
Program financ.:H2020
Številka projekta:732339
Naslov:Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing
Akronim:PrEstoCloud

Financer:EC - European Commission
Program financ.:H2020
Številka projekta:815141
Naslov:Decentralised technologies for orchestrated cloud-to-edge intelligence
Akronim:DECENTER

Financer:EC - European Commission
Program financ.:H2020
Številka projekta:636160
Naslov:Multi-source Big Data Fusion Driven Proactivity for Intelligent Mobility
Akronim:OPTIMUM

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