Pros & cons of model-based bandwidth control for client-assisted content delivery

Abstract—Simulation methodology has become popular among network researchers due to the availability of various sophisticated and the flexibility of simulation packages in model construction and the result’s validation. The objective of our research is to introduce a discrete simulator tools known as SimEvents toolbox that runs on MATLAB-Simulink with the advantages of graphical user interface (GUI) system and a total customized simulator design. In this paper, we design a model-based network simulator named as “CDNlink”. CDNlink is designed based on a queuing model and functioned to study the content delivery networks (CDN). As a result, we have designed the simulator for Client, Router, DNS, and Server. Moreover, we simulate the CDN system for packet round trip time (RTT) and server’s queue length.Keywords—simulink, content delivery network, model-based simulation, simevents, cdnlink.

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A model-based application autonomic manager with fine granular bandwidth control

2017 13th International Conference on Network and Service Management (CNSM) ◽

10.23919/cnsm.2017.8255994 ◽

2017 ◽

Cited By ~ 1

Author(s):

Nasim Beigi-Mohammadi ◽

Mark Shtern ◽

Marin Litoiu

Keyword(s):

Model Based ◽

Bandwidth Control

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Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

2020 ◽

Vol 43 ◽

Author(s):

Peter Dayan

Keyword(s):

Decision Theory ◽

Predictive Coding ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Model Based ◽

Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

Microscopy and Microanalysis ◽

10.1017/s1431927600028968 ◽

2001 ◽

Vol 7 (S2) ◽

pp. 578-579

Author(s):

David W. Knowles ◽

Sophie A. Lelièvre ◽

Carlos Ortiz de Solόrzano ◽

Stephen J. Lockett ◽

Mina J. Bissell ◽

...

Keyword(s):

Image Analysis ◽

Mammary Epithelial Cells ◽

Nuclear Organization ◽

Critical Role ◽

Quantitative Model ◽

Mammary Epithelial ◽

Cell Phenotype ◽

Proliferating Cells ◽

Mitotic Apparatus ◽

Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

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