Design of Web Services for Mobile Monitoring and Access to Measurements

Design of Web Services for Mobile Monitoring and Access to Measurements

Evelina Pencheva
ISBN13: 9781466658844|ISBN10: 1466658843|EISBN13: 9781466658851
DOI: 10.4018/978-1-4666-5884-4.ch008
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MLA

Pencheva, Evelina. "Design of Web Services for Mobile Monitoring and Access to Measurements." Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications, edited by Zhaohao Sun and John Yearwood, IGI Global, 2014, pp. 175-196. https://doi.org/10.4018/978-1-4666-5884-4.ch008

APA

Pencheva, E. (2014). Design of Web Services for Mobile Monitoring and Access to Measurements. In Z. Sun & J. Yearwood (Eds.), Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications (pp. 175-196). IGI Global. https://doi.org/10.4018/978-1-4666-5884-4.ch008

Chicago

Pencheva, Evelina. "Design of Web Services for Mobile Monitoring and Access to Measurements." In Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications, edited by Zhaohao Sun and John Yearwood, 175-196. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5884-4.ch008

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Abstract

Provisioning of applications and value-added services for mobile (remote) monitoring and access to measurements data is supported by advanced communication models such as Internet of Things (IoT). IoT provides ubiquitous connectivity anytime and with anything. IoT applications are able to communicate with the environment, to receive information about its status, to exchange and use the information. Identification of generic functions for monitoring management, data acquisition, and access to information provides capabilities to define abstraction of transport technology and control protocols. This chapter presents an approach to design Web Services Application Programming Interfaces (API) for mobile monitoring and database access. Aspects of the Web Services implementation are discussed. A traffic model of Web Services application server is described formally. The Web Services application server handles traffic of different priorities generated by third party applications and by processes at the database server's side. The traffic model takes into account the distributed structure of the Web Services application server and applies mechanisms for adaptive admission control and load balancing to prevent overload. The utilization of Web Services application server is evaluated through simulation.

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