2019
DOI: 10.30534/ijatcse/2019/60862019
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The Process of Network Flows Distribution based on Traffic Engineering Method

Abstract: The article investigates the process of optimization of network flow distribution based on the traffic engineering method. This method allows the use of separate measurement paths, reducing the likelihood of the overflow of measuring structures. Traffic engineering was considered and investigated by using a math model. The features that used alternative paths under the conditions of failure in the information transmission channel are presented. It is emphasized that providers cannot rely solely on routing prot… Show more

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Cited by 3 publications
(2 citation statements)
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References 4 publications
(8 reference statements)
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“… Rules/principles: Network is driven by the rules and principles, the search of which has led to series of quest from random network [20] to heuristically optimized trade-off [21], [22] models of technological network. An optimization as in [40].  Interaction: The mentioned topological structure and dynamics are formed conceptually from individual entities, to pairwise interactions, to local structures, and eventually to the whole network system.…”
Section: Cyber Sciencementioning
confidence: 99%
“… Rules/principles: Network is driven by the rules and principles, the search of which has led to series of quest from random network [20] to heuristically optimized trade-off [21], [22] models of technological network. An optimization as in [40].  Interaction: The mentioned topological structure and dynamics are formed conceptually from individual entities, to pairwise interactions, to local structures, and eventually to the whole network system.…”
Section: Cyber Sciencementioning
confidence: 99%
“…The paper [4] investigates the process of optimization of network flow distribution based on the traffic engineering method. This method allows the use of separate measurement paths, reducing the likelihood of the overflow of measuring structures.…”
Section: Introductionmentioning
confidence: 99%