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Cognitive Congestion Control for Data Portal

Bibliographic Details
Title: Cognitive Congestion Control for Data Portal
Authors: Sharifahmadian, Ershad, Latifi, Shahram
Source: College of Engineering: Graduate Celebration Programs
Publisher Information: UNLV's Repository for Research, Scholarship, and Creative Activity
Publication Year: 2012
Collection: University of Nevada, Las Vegas: Digital Scholarship@UNLV
Subject Terms: Computer engineering--Data processing, Computer networks--Workload, Queuing networks (Data transmission), Computer Engineering, Digital Communications and Networking
Description: Network congestion is one of challenging tasks in communication networks and leads to queuing delay, packet loss or the blocking of new connections. Here, a data portal is considered as an application-based network, and a cognitive method is proposed to deal with congestion in this kind of network. The cognitive method is proposed to improve bandwidth sharing, and deal with congestion in a data portal. When the data portal is about climate change data, congestion control is more emphasized, because the scientific climate data is voluminous and there is a high traffic to/from data portal by the scientific community, research groups, and general readers.
Document Type: text
File Description: application/pdf
Language: English
Relation: https://oasis.library.unlv.edu/celebration/2012/april27/19; https://oasis.library.unlv.edu/context/celebration/article/1004/viewcontent/ESharifahmadian_SLatifi_Poster_CognitiveCongestion_4_27_12.pdf
Availability: https://oasis.library.unlv.edu/celebration/2012/april27/19
https://oasis.library.unlv.edu/context/celebration/article/1004/viewcontent/ESharifahmadian_SLatifi_Poster_CognitiveCongestion_4_27_12.pdf
Accession Number: edsbas.AF7D1274
Database: BASE
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  Data: Cognitive Congestion Control for Data Portal
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  Data: <searchLink fieldCode="AR" term="%22Sharifahmadian%2C+Ershad%22">Sharifahmadian, Ershad</searchLink><br /><searchLink fieldCode="AR" term="%22Latifi%2C+Shahram%22">Latifi, Shahram</searchLink>
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  Data: College of Engineering: Graduate Celebration Programs
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  Data: Network congestion is one of challenging tasks in communication networks and leads to queuing delay, packet loss or the blocking of new connections. Here, a data portal is considered as an application-based network, and a cognitive method is proposed to deal with congestion in this kind of network. The cognitive method is proposed to improve bandwidth sharing, and deal with congestion in a data portal. When the data portal is about climate change data, congestion control is more emphasized, because the scientific climate data is voluminous and there is a high traffic to/from data portal by the scientific community, research groups, and general readers.
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