DocumentCode
180548
Title
Autonomous Service Management for Location and Context Aware Service
Author
Chi-Sheng Shih ; Kwei-Jay Lin ; Jyun-Jhe Chou ; Ching-Chi Chuang
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear
2014
fDate
17-19 Nov. 2014
Firstpage
246
Lastpage
251
Abstract
Self-Management of services and devices in Internet of Things (IoT) systems and Machine-to-Machine (M2M) systems is a fundamental challenge due to the large number of devices and context-aware services. In this paper, we present the mechanism to automatically manage the services and devices according to context of the system and location of the devices. The developed mechanism is parts of WuKong middleware, which is a middleware for distributed and autonomous IoT/M2M systems. To support autonomous service management, we develop the device identification mechanism, the mechanism for device status monitoring, device management, and service reconfiguration. This paper presents the location and context-aware service configuration mechanism in WuKong middleware. The mechanism includes the services to manage the devices, to manage the radio interfaces on devices, to learn the location of devices, to load the service remotely and dynamically. The developed mechanisms are implemented and experimented on Arduino-compatible devices to evaluate its performance.
Keywords
Internet of Things; middleware; ubiquitous computing; Arduino-compatible devices; Internet of Things systems; WuKong middleware; autonomous IoT-M2M systems; autonomous service management; context-aware service configuration mechanism; device identification mechanism; device management; device status monitoring; distributed IoT-M2M systems; machine-to-machine systems; performance evaluation; service reconfiguration; Internet; Logic gates; Middleware; Monitoring; Protocols; Routing; Sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Service-Oriented Computing and Applications (SOCA), 2014 IEEE 7th International Conference on
Conference_Location
Matsue
Type
conf
DOI
10.1109/SOCA.2014.10
Filename
6978617
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