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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
 
Identifier https://doi.org/10.7910/DVN/DA5DOB
 
Creator Arfeen,Asad
 
Publisher Harvard Dataverse
 
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.
 
Subject Computer and Information Science
Engineering
Stochastic Modeling and Real-time Estimation
 
Contributor Arfeen, Asad