Dataset for Stochastic Modeling and Real-time estimation of emerging internet traffic in access and core networks
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Dataset for Stochastic Modeling and Real-time estimation of emerging internet traffic in access and core networks
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Identifier |
https://doi.org/10.7910/DVN/DA5DOB
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Creator |
Arfeen,Asad
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Publisher |
Harvard Dataverse
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Description |
The Internet today is approaching its technological limits, and as a result many research initiatives have begun with a view to the future. A communication network for the design and maintenance of future Internet, which can provide various information services regardless of the number of users / devices and distribution around the world without existing restrictions. It fills the fundamental gap in knowledge about the dynamic processes formed by the data flow of this network, with the aim of determining the economic structural model of Internet teletraffic in both access and backbone core networks. These models will be used to evaluate and optimize the performance of various future Internet information services, enabling efficient sharing of resources, saving energy consumed on the Internet and enhancing network security. Multiple traffic with random timestamping were archived during this research, few of these have been shared for future references. |
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Subject |
Computer and Information Science
Engineering Stochastic Modeling and Real-time Estimation |
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Contributor |
Arfeen, Asad
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