[PDF][PDF] A Component-based Modeling of Edge Systems Computing.

ON Sehout, M Ghiat, Z Benzadri, F Belala - ICAASE, 2018 - ceur-ws.org
ON Sehout, M Ghiat, Z Benzadri, F Belala
ICAASE, 2018ceur-ws.org
Abstract Internet of Things (IoT) aims to bring every object, such as smart cameras, wearable
devices, etc., online, hence generating massive amounts of data that can submerge storage
systems. The Cloud computing paradigm is unable to meet these requirements, particularly
in some critical applications (as health monitoring, emergency response, etc.) that require
low latency, and delay caused by transferring data to the cloud and then back to the
application can seriously impact their performances. To overcome this limitation, Edge …
Abstract
Internet of Things (IoT) aims to bring every object, such as smart cameras, wearable devices, etc., online, hence generating massive amounts of data that can submerge storage systems. The Cloud computing paradigm is unable to meet these requirements, particularly in some critical applications (as health monitoring, emergency response, etc.) that require low latency, and delay caused by transferring data to the cloud and then back to the application can seriously impact their performances. To overcome this limitation, Edge paradigms, as Fog computing, Edge computing and Mobile Cloud computing, have been proposed, where cloud services are extended to the edge of the network to decrease the latency and network congestion. This paper proposes a software architecture supporting the modelling of Edge computing dedicated systems. The current situation of emerging Edge paradigms is analyzed in detail. An approach based on software component technology is proposed and applied using Fractal components model, which can specify semantics of everychanging dynamic and distributed integration of software components. Furthermore, a case study of the patient monitoring system (PMSEDGE) along with its application model and network topology is expounded.
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