FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1489406429> ?p ?o ?g. }

• W1489406429 endingPage "347" @default.
• W1489406429 startingPage "319" @default.
• W1489406429 abstract "To support multimedia applications, high-speed networks must be able to provide quality-of-service (QoS) guarantees for connections with drastically different traffic characteristics. In this chapter, we present an analysis of transient loss performance impact of long-range dependence in network traffic. This work is only the first step of our exploration. But we hope that it will still be helpful for understanding loss performance impact of long-range dependence in the transient state, although much further work needs to be done in the future. In this chapter, an approach different from conventional transient analysis is used, which allows us to investigate the transient performance impact of long-range dependence in traffic without first seeking a closed-form transient solution. That is, we limit our analysis to some short period of time, and even to a single state of a traffic process. We introduce a framework for traffic modeling that captures the essential property of long-range dependence. Within this framework, traffic is modeled by multistate, fluid-type stochastic processes. When such a process is in a given state, the underlying traffic source generates traffic at a constant rate. The time spent by the process in a state is a random variable. For the purpose of this chapter, we let the distribution of the random variable be arbitrary. As a result, we can construct Markov and LRD traffic models as we wish. Then we define loss performance measures in the transient state. We compare transient loss performance between the traditional Markov models and the LRD models. To keep the comparison reasonable, for the Markov and LRD models, except for the distributions of the times spent by the traffic processes in their respective states, we let all other traffic parameters be the same. By doing so, the difference in loss behavior between Markov and LRD traffic is only due to the modeling assumption on the underlying traffic process. We then compare transient loss of Markov and LRD traffic for two cases. In the first case, we assume that both traffic processes are in the same state with the same initial condition characterized by the amount of traffic left in the system when the processes enter the state. In the second case, we consider two-state Markov and LRD fluids. To examine whether it is appropriate to predict loss performance computed according to Markov models in steady state for LRD traffic, we show how to compute steady-state limits of transient loss measures for general two-state fluids, and compare transient loss against loss in steady state. We discuss the impact of long-range dependence in network traffic, based on the analytical and numerical results obtained. We conclude this chapter with a summary of the findings of our study, and a brief discussion on the challenge posed by transient performance guarantee in the presence of long-range dependence and some extension of this work." @default.
• W1489406429 created "2016-06-24" @default.
• W1489406429 creator A5005464768 @default.
• W1489406429 creator A5056877599 @default.
• W1489406429 date "2000-08-21" @default.
• W1489406429 modified "2023-10-03" @default.
• W1489406429 title "Analysis of Transient Loss Performance Impact of Long-Range Dependence in Network Traffic" @default.
• W1489406429 doi "https://doi.org/10.1002/047120644x.ch13" @default.
• W1489406429 hasPublicationYear "2000" @default.
• W1489406429 type Work @default.
• W1489406429 sameAs 1489406429 @default.
• W1489406429 citedByCount "3" @default.
• W1489406429 crossrefType "other" @default.
• W1489406429 hasAuthorship W1489406429A5005464768 @default.
• W1489406429 hasAuthorship W1489406429A5056877599 @default.
• W1489406429 hasConcept C105795698 @default.
• W1489406429 hasConcept C111919701 @default.
• W1489406429 hasConcept C119599485 @default.
• W1489406429 hasConcept C119857082 @default.
• W1489406429 hasConcept C127413603 @default.
• W1489406429 hasConcept C134306372 @default.
• W1489406429 hasConcept C146978453 @default.
• W1489406429 hasConcept C159886148 @default.
• W1489406429 hasConcept C182365436 @default.
• W1489406429 hasConcept C204323151 @default.
• W1489406429 hasConcept C2780799671 @default.
• W1489406429 hasConcept C31258907 @default.
• W1489406429 hasConcept C33923547 @default.
• W1489406429 hasConcept C41008148 @default.
• W1489406429 hasConcept C5119721 @default.
• W1489406429 hasConcept C79403827 @default.
• W1489406429 hasConcept C82756550 @default.
• W1489406429 hasConcept C98045186 @default.
• W1489406429 hasConcept C98763669 @default.
• W1489406429 hasConceptScore W1489406429C105795698 @default.
• W1489406429 hasConceptScore W1489406429C111919701 @default.
• W1489406429 hasConceptScore W1489406429C119599485 @default.
• W1489406429 hasConceptScore W1489406429C119857082 @default.
• W1489406429 hasConceptScore W1489406429C127413603 @default.
• W1489406429 hasConceptScore W1489406429C134306372 @default.
• W1489406429 hasConceptScore W1489406429C146978453 @default.
• W1489406429 hasConceptScore W1489406429C159886148 @default.
• W1489406429 hasConceptScore W1489406429C182365436 @default.
• W1489406429 hasConceptScore W1489406429C204323151 @default.
• W1489406429 hasConceptScore W1489406429C2780799671 @default.
• W1489406429 hasConceptScore W1489406429C31258907 @default.
• W1489406429 hasConceptScore W1489406429C33923547 @default.
• W1489406429 hasConceptScore W1489406429C41008148 @default.
• W1489406429 hasConceptScore W1489406429C5119721 @default.
• W1489406429 hasConceptScore W1489406429C79403827 @default.
• W1489406429 hasConceptScore W1489406429C82756550 @default.
• W1489406429 hasConceptScore W1489406429C98045186 @default.
• W1489406429 hasConceptScore W1489406429C98763669 @default.
• W1489406429 hasLocation W14894064291 @default.
• W1489406429 hasOpenAccess W1489406429 @default.
• W1489406429 hasPrimaryLocation W14894064291 @default.
• W1489406429 hasRelatedWork W1530706039 @default.
• W1489406429 hasRelatedWork W1576066832 @default.
• W1489406429 hasRelatedWork W176066871 @default.
• W1489406429 hasRelatedWork W1993815490 @default.
• W1489406429 hasRelatedWork W2017647385 @default.
• W1489406429 hasRelatedWork W2020200660 @default.
• W1489406429 hasRelatedWork W2094892713 @default.
• W1489406429 hasRelatedWork W2167462096 @default.
• W1489406429 hasRelatedWork W2583591294 @default.
• W1489406429 hasRelatedWork W2112543260 @default.
• W1489406429 isParatext "false" @default.
• W1489406429 isRetracted "false" @default.
• W1489406429 magId "1489406429" @default.
• W1489406429 workType "other" @default.