Location
Science and Engineering Building, UNLV
Start Date
27-4-2012 10:30 AM
End Date
27-4-2012 4:00 PM
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.
Keywords
Computer engineering--Data processing; Computer networks--Workload; Queuing networks (Data transmission)
Disciplines
Computer Engineering | Digital Communications and Networking
Language
English
Cognitive Congestion Control for Data Portal
Science and Engineering Building, UNLV
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.