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An architecture for dependable connectivity in OSGi-enabled dynamic distributed systems

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Publication date30/11/2018
Host publication2018 5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages99-106
Number of pages8
ISBN (Electronic)9781538695852
Original languageEnglish
Event5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018 - Valencia, Spain
Duration: 15/10/201818/10/2018

Conference

Conference5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018
CountrySpain
CityValencia
Period15/10/1818/10/18

Conference

Conference5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018
CountrySpain
CityValencia
Period15/10/1818/10/18

Abstract

From air pollution monitoring to debatable surveillance for better security, dynamic distributed systems led to the birth of versatile smart environments. Dependability of such systems is challenged by the reliability of the communication links between various sub-systems. In this paper, we address this issue by designing a TCP/I P based Client-Server architecture using diverse channels, to ensure zero tolerance with regards to outage of service. The prototype system uses Raspberry Pi 3, as a remote client, to intelligently communicate with the server node by choosing one or a set of available communication links, e.g., Ethernet (LAN), Wireless-LAN (Wi-Fi), and Bluetooth channels. We further implement the system using Open Services Gateway Initiative (OSGi), a modular and interpolate-able code foundation, to withstand the challenges faced by the modern software industry e.g. complexity and scalability. Prototype system was successfully tested for hardware and software fault tolerance using different test scenarios to ensure uninterrupted service delivery. In the end, we also present a machine learning technique to mitigate the effects of severe channel hostilities for diverse channels system. The results show improvement in the quality of data transmission by exploiting the flexibility of alternate channels. We demonstrate this intelligent and seamless communication link switching technique using Support Vector Machine (SVM) in MATLAB.