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

2011 ◽  
Vol 50 (05) ◽  
pp. 408-419 ◽  
Author(s):  
B. Volckaert ◽  
B. Dhoedt ◽  
F. De Turck ◽  
S. Van Hoecke
Keyword(s):  
Large Scale ◽  
Response Times ◽  
Service Selection ◽  
Network Simulator ◽  
Service Oriented Architectures ◽  
Selection Strategies ◽  
Service Oriented ◽  
Multiple Sclerosis Patients ◽  
Time Critical ◽  
Selection Algorithms

SummaryBackground: 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.

WS-SIM: A Toolkit for Modeling and Simulation of Service Composition

2013 ◽  
Vol 756-759 ◽  
pp. 1304-1308
Author(s):  
Fan Zhang
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Simulation Experiment ◽  
Service Selection ◽  
Selection Algorithm ◽  
Web Service Selection ◽  
Composite Services ◽  
Selection Algorithms

Web service has been rapidly developed in recent years. Web service selection is an important issue in web service composition and lots of service selection algorithms have been presented. As lots of them select an atomic service during runtime, it is not an easy task to evaluate the quality of the composited service which composed of several atomic services. In this work we introduce WS-SIM, a simulation toolkit, to solve this problem. WS-SIM supports modeling and simulating composite services and atomic services in the real world. This system also provides many common service selection algorithms and researchers can custom their own service selection algorithm for a simulation experiment. The quality of composite services can also be generated by our system. Furthermore, to demonstrate suitability of the WS-SIM, in this paper, functionalities of our system are illustrated by a case study. This confirms the usability and the applicability of WS-SIM.

An Ant Colony Optimization Algorithm for Selection Problem

2013 ◽  
Vol 411-414 ◽  
pp. 1939-1942
Author(s):  
Yang Suo ◽  
Li Na Zhu ◽  
Qi Gui Zang ◽  
Quan Wang
Keyword(s):  
Service Selection ◽  
Ant Colony ◽  
Selection Problem ◽  
Ant Colony Optimization Algorithm ◽  
Query Process ◽  
Related Service ◽  
Shrinking Process ◽  
Time Required ◽  
Selection Algorithms

To tackle the QoS-based service selection problem, an efficient ant colony service selection algorithm called CASS is proposed in this paper. In this algorithm, a skyline query process is used to filtering the candidates related each service class and a clustering based shrinking process is used to guide the ant search directions. We evaluate our approach experimentally using standard real datasets and synthetically generated datasets, and compared with the recently proposed related service selection algorithms. It reveals very encouraging results in terms of the quality of solution, and the processing time required.

Sign in / Sign up

Export Citation Format

Share Document