A multimedia traffic modeling framework for simulation-based performance evaluation studies

2006 ◽  
Vol 50 (12) ◽  
pp. 2071-2087 ◽  
Author(s):  
Assen Golaup ◽  
Hamid Aghvami
2000 ◽  
pp. 73-82 ◽  
Author(s):  
Timothy D. Neame ◽  
Moshe Zukerman ◽  
Ronald G. Addie

Author(s):  
Gary B. Collins ◽  
Paul W. Britton ◽  
Patrick J. Clark ◽  
Kim A. Brackett ◽  
Eric J. Chatfield

Author(s):  
Ayda Saidane ◽  
Saleh Al-Sharieh

Regulatory compliance is a top priority for organizations in highly regulated ecosystems. As most operations are automated, the compliance efforts focus on the information systems supporting the business processes of the organizations and, to a lesser extent, on the humans using, managing, and maintaining them. Yet, the human factor is an unpredictable and challenging component of a secure system development and should be considered throughout the development process as both a legitimate user and a threat. In this chapter, the authors propose COMPARCH as a compliance-driven system engineering framework for privacy and security in socio-technical systems. It consists of (1) a risk-based requirement management process, (2) a test-driven security and privacy modeling framework, and (3) a simulation-based validation approach. The satisfaction of the regulatory requirements is evaluated through the simulation traces analysis. The authors use as a running example an E-CITY system providing municipality services to local communities.


Author(s):  
Recep M. Gorguluarslan ◽  
Sang-In Park ◽  
David W. Rosen ◽  
Seung-Kyum Choi

An integrated multiscale modeling framework that incorporates a simulation-based upscaling technique is developed and implemented for the material characterization of additively manufactured cellular structures in this paper. The proposed upscaling procedure enables the determination of homogenized parameters at multiple levels by matching the probabilistic performances between fine and coarse scale models. Polynomial chaos expansion is employed in upscaling procedure to handle the computational burden caused by the input uncertainties. Efficient uncertainty quantification is achieved at the mesocale level by utilizing the developed upscaling technique. The homogenized parameters of mesostructures are utilized again at the macroscale level in the upscaling procedure to accurately obtain the overall material properties of the target cellular structure. Actual experimental results of additively manufactured parts are integrated into the developed procedure to demonstrate the efficacy of the method.


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