UML-Based Reliability Modeling of Network Services, a UDP Echo Service Case Study

2009 ◽  
Author(s):  
Zbigniew Lipinski
Keyword(s):  
Network Services ◽  
Reliability Modeling

Providing Quality of Service across Multiple Providers

2010 ◽  
pp. 280-296
Author(s):  
Christos Bouras ◽  
Apostolos Gkamas ◽  
Kostas Stamos
Keyword(s):  
Quality Of Service ◽  
Network Management ◽  
Network Services ◽  
Qos Provisioning ◽  
Backbone Networks ◽  
Important Quality ◽  
Academic Network ◽  
Research And Education

In this chapter, the authors present some of the latest developments related to the provisioning of Quality of Service (QoS) in today’s networks and the associated network management structures that are or will be deployed to support them. They first give a brief overview of the most important Quality of Service proposals in the areas of Layer 2 (L2) and Layer 3 (L3) QoS provisioning in backbone networks, and they discuss the network management structures and brokers that have been proposed in order to implement these services. As a case study, they describe the pan-european research and academic network, which is supported centrally by GEANT and which encompasses multiple independent NRENs (National Research and Education Networks). In the last few years, GEANT has developed and deployed a number of production and pilot services meant for the delivery of quality network services to the end users across Europe.

Detecting In Situ Identity Fraud on Social Network Services: A Case Study With Facebook

2017 ◽  
Vol 11 (4) ◽  
pp. 2432-2443 ◽  
Author(s):  
Shan-Hung Wu ◽  
Man-Ju Chou ◽  
Chun-Hsiung Tseng ◽  
Yuh-Jye Lee ◽  
Kuan-Ta Chen
Keyword(s):  
Social Network ◽  
Network Services ◽  
Identity Fraud ◽  
Social Network Services

scholarly journals Adequacy Evaluation of an Islanded Microgrid

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2344
Author(s):  
Martin Kjær ◽  
Huai Wang ◽  
Frede Blaabjerg
Keyword(s):  
Power Systems ◽  
Power Converters ◽  
Replacement Policy ◽  
System Level ◽  
Power Electronic ◽  
Reliability Modeling ◽  
Prior Art ◽  
System Risk ◽  
Level Analysis

The reliability of power converters has been extensively examined in terms of component- and converter level. However, in case of multiple generation units, the evaluation of the performance of power systems requires system-level modeling. This paper aims to merge the prior art of reliability modeling of power converters with the adequacy evaluation of power systems through an extensive design and evaluation analysis of a microgrid based case study. The methodology proposed in the paper integrates the device-level analysis into the domain of the conventional power system reliability analysis while outlining the steps needed to deal with non-exponential distributed failures of power electronic-based generation units. A replacement policy of the power electronic-based units is adopted by means of evaluating the system risk of not supplying system loads, and, finally, an approach on how to ensure a desired replacement frequency is outlined.

Deep Learning in Social Media Analysis

2021 ◽  
pp. 164-194
Author(s):  
Vaishali Yogesh Baviskar ◽  
Rachna Yogesh Sable
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Media Analysis ◽  
Network Services ◽  
Social Media Analytics ◽  
Learning Approaches ◽  
Election Result ◽  
The Social ◽  
Social Network Services

Social media analytics keep on collecting the information from different media platforms and then calculating the statistical data. Twitter is one of the social network services which has ample amount of data where many users used post significant amounts of data on a regular basis. Handling such a large amount of data using traditional tools and technologies is very complicated. One of the solutions to this problem is the use of machine learning and deep learning approaches. In this chapter, the authors present a case study showing the use of Twitter data for predicting the election result of the political parties.

Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study

2019 ◽  
Vol 165 ◽  
pp. 106950
Author(s):  
Lav Gupta ◽  
Tara Salman ◽  
Maede Zolanvari ◽  
Aiman Erbad ◽  
Raj Jain
Keyword(s):  
Performance Management ◽  
Virtual Network ◽  
Network Services ◽  
And Performance ◽  
Multi Cloud

AVAILABILITY AND RELIABILITY MODELING OF AN INTEGRATED UNDERGROUND COAL MINING SYSTEM

1995 ◽  
Vol 02 (02) ◽  
pp. 203-224 ◽  
Author(s):  
CHUNMING DUAN ◽  
ERTUGRUL TOPUZ
Keyword(s):  
Coal Mining ◽  
Systems Analysis ◽  
Systematic Approach ◽  
Stochastic Systems ◽  
Analytical Models ◽  
Underground Coal Mining ◽  
Mining System ◽  
Reliability Modeling

This paper presents a systematic approach to evaluation of the availability of an automated underground coal mining system, the longwall system. Five analytical models are developed by applying the techniques of reliability modeling and stochastic systems analysis. Each model is formulated to evaluate the availability of a longwall system with unique longwall operating logic. The application of these models is illustrated with a case study and the uses of the results are discussed.

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