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Methods Inf Med 2011; 50(05): 408-419
DOI: 10.3414/ME09-01-0078
Original Articles
Schattauer GmbH

Large-scale Performance Evaluation of e-Homecare Architectures Using the WS-NS Simulator

S. Van Hoecke
1   Department of Information Technology – IBCN – IBBT, Ghent University, Gent, Belgium
2   Electronics and Information Technology Lab, University College West-Flanders, Ghent University Association, Kortrijk, Belgium
,
B. Volckaert
1   Department of Information Technology – IBCN – IBBT, Ghent University, Gent, Belgium
,
B. Dhoedt
1   Department of Information Technology – IBCN – IBBT, Ghent University, Gent, Belgium
,
F. De Turck
1   Department of Information Technology – IBCN – IBBT, Ghent University, Gent, Belgium
› Author Affiliations
Further Information

Publication History

received: 01 August 2009

accepted: 07 June 2010

Publication Date:
18 January 2018 (online)

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Summary

Background: E-homecare creates opportunities to provide care faster, at lower cost and higher levels of convenience for patients. As e-homecare services are time-critical, stringent requirements are imposed in terms of total response time and reliability, this way requiring a characterization of their network load and usage behavior. However, it is usually hard to build testbeds on a realistic scale in order to evaluate large-scale e-home-care applications.

Objective: This paper describes the design and evaluation of the Network Simulator for Web Services (WS-NS), an NS2-based simulator capable of accurately modeling service-oriented architectures that can be used to evaluate the performance of e-homecare architectures.

Methods: WS-NS is applied to the Coplintho e-homecare use case, based on the results of the field trial prototype which targeted diabetes and multiple sclerosis patients. Network-unaware and network-aware service selection algorithms are presented and their performance is tested.

Results: The results show that when selecting a service to execute the request, suboptimal decisions can be made when selection is solely based on the service’s properties and status. Taking into account the network links interconnecting the services leads to better selection strategies. Based on the results, the e-homecare broker design is optimized from a centralized design to a hierarchical region-based design, resulting in an important decrease of average response times.

Conclusions: The WS-NS simulator can be used to analyze the load and response times of large-scale e-homecare architectures. An optimization of the e-homecare architecture of the Coplintho project resulted in optimized network overhead and more than 45% lower response times.

Keywords

Home care services - simulation - performance - optimization - medical informatics
 

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