Detecting Service Chains and Feature Interactions in Sensor-Driven Home Network Services

Sensors

Takuya Inada¹  Hiroshi Igaki²  Kosuke Ikegami¹  Shinsuke Matsumoto¹  Masahide Nakamura¹ 

[1] Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, Hyogo 657-8510, Japan; E-Mails:;Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka- Suita, Osaka 565-0871, Japan; E-Mail:

关键词: smart home;    home network system;    sensor-driven service;    feature interactions;    detection;    validation;   

DOI  :  10.3390/s120708447

来源: mdpi

【 摘 要 】

Sensor-driven services often cause chain reactions, since one service may generate an environmental impact that automatically triggers another service. We first propose a framework that can formalize and detect such service chains based on ECA (event, condition, action) rules. Although the service chain can be a major source of feature interactions, not all service chains lead to harmful interactions. Therefore, we then propose a method that identifies feature interactions within the service chains. Specifically, we characterize the degree of deviation of every service chain by evaluating the gap between expected and actual service states. An experimental evaluation demonstrates that the proposed method successfully detects 11 service chains and 6 feature interactions within 7 practical sensor-driven services.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.