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1.
Power-aware Traffic Grooming in WDM Optical Mesh Networks for Bandwidth Wastage Minimization: A Genetic Algorithm-based Approach
Soumen Atta, Anirban Mukhopadhyay, 2012, objavljeni znanstveni prispevek na konferenci

Opis: The cost of optical backbone network has increased nowadays. So we need to reduce this cost. One of the major contributory costs is the power consumed by the underlying network. Power may also be consumed by different network equipments viz. add-drop multiplexers (ADM), Network Interface Device (NID), Optical Network Terminal (ONT), electrical-to-optical-to-electrical (EOE) conversion etc. In this article we have only considered the power consumption by EOE conversion in a mesh network. We have proposed a genetic algorithm to minimize the EOE conversions needed for a mesh network to satisfy all the traffic requests for a given physical topology. We have also considered the amount of wavelength wastages for our solution and we have minimized these wastages below a user given value. The results have been demonstrated on two optical mesh networks.
Ključne besede: Optical Network, WDM, Traffic Grooming, Network Components, Green Optical Network, Genetic Algorithm
Objavljeno v RUNG: 05.06.2023; Ogledov: 1015; Prenosov: 0
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2.
Connectivity reliability in uncertain networks with stability analysis
Ahmad Hosseini, Eddie Wadbro, 2016, izvirni znanstveni članek

Ključne besede: Traffic network, Uncertainty theory, Reliability, Chance-constrained, Stability analysis
Objavljeno v RUNG: 14.02.2023; Ogledov: 1008; Prenosov: 0
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3.
NETRA : a vigilant eye on the Internet
2019, intervju

Ključne besede: Surveillance, Network Monitoring, NETRA, Network Traffic Regulation
Objavljeno v RUNG: 03.04.2021; Ogledov: 2275; Prenosov: 63
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4.
Internet traffic surveillance & network monitoring in India : case study of NETRA
Rajan Gupta, Sunil K. Muttoo, 2016, izvirni znanstveni članek

Opis: Internet traffic surveillance is gaining importance in today’s digital world. Lots of international agencies are putting in efforts to monitor the network around their countries to see suspicious activities and illegal or illegitimate transmission of messages. India, being a center of attraction for terrorist activities, is also working towards the development of such surveillance systems. NETRA or Network Traffic Analysis is one such effort being taken by the Indian Government to filter suspicious keywords from messages in the network. But is it good enough to be used at the highest level for security analysis or does the system design needs to be improved as compared to other similar systems around the world; this question is answered through this study. The comparison of NETRA is done against Dish Fire, Prism, and Echelon. The design of the NETRA scheme and implementation level analysis of the system shows few weaknesses like limited memory options, limited channels for monitoring, pre-set filters, ignoring big data demands, security concerns, social values breach and ignoring ethical issues. These can be covered through alternate options which can improve the existing system. The Inclusion of self-similarity models, Self-Configuring Network Monitoring, and smart monitoring through early intrusion detections can be embedded in the architecture of existing surveillance system to give it more depth and make it more robust.
Ključne besede: cyber attacks, NETRA, network monitoring, network traffic analysis, surveillance system, spy system
Objavljeno v RUNG: 01.04.2021; Ogledov: 2012; Prenosov: 55
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