DocumentCode
141734
Title
Modeling BPEL-Based Collaborations with Heterogeneous IoT Devices
Author
Soo Dong Kim ; Jae Yoo Lee ; Dae Young Kim ; Chun Woo Park ; Hyun Jung La
Author_Institution
Dept. of Comput. Sci., Soongsil Univ., Seoul, South Korea
fYear
2014
fDate
24-27 Aug. 2014
Firstpage
289
Lastpage
294
Abstract
A number of different IoT devices are already available and newer types would appear on the market. A technical difficulty in IoT computing is to manage the heterogeneity of IoT devices in terms of their network protocol supported, interface language, data exchange scheme, and type of mobility provided. Business Process Execution Language (BPEL) has been effectively utilized to collaborate multiple services by defining a business workflow. Due to the effectiveness of BPEL, a natural attempt to effectively develop IoT applications with complex workflows would be the adoption of BPEL and integrating IoT devices in BPEL-based collaborations. However, there exists two technical challenges, (1) Mismatch between BPEL collaboration models and IoT services and (2) heterogeneity of IoT devices. In this paper, we propose an effective method to remedy the technical challenges by presenting Adapters between BPEL documents and IoT services. With our method, heterogeneous IoT services can be seamlessly collaborated with the BPEL-based collaborations.
Keywords
Internet of Things; Web Services Business Process Execution Language; groupware; protocols; BPEL-based collaboration modeling; IoT computing; business process execution language; business workflow; data exchange scheme; heterogeneous IoT devices; interface language; network protocol; Actuators; Adaptation models; Business; Collaboration; Computer architecture; Performance evaluation; Robots; Adapter; Business Process Execution Language (BPEL); Collaboration; Internet of Things (IoT); IoT Devices;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4799-5078-2
Type
conf
DOI
10.1109/DASC.2014.58
Filename
6945703
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