NDLI: Research on available resource management model of cognitive networks based on intelligence agent

Content Provider	IEEE Xplore Digital Library
Author	Qi Jin Zhang Shunyi Sun Yanfei Tan Ling
Copyright Year	2011
Description	Author affiliation: Research Institute of Information and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China (Zhang Shunyi; Tan Ling) \|\| Research Institute of Information and Network, Technology, Nanjing University of Posts and Telecommunications, Nanjing, China (Qi Jin; Sun Yanfei)
Abstract	A research on available resources management model (ARMM) of cognitive networks based on intelligence agent (IA) proposed in this paper. In cognitive networks (CNs) environment, it is important to master various resources information of network accurately, in the guarantee resources information completeness, the uniformity, the stability, above the reliable foundation, overall evaluation user quality of service (QoS) and the network condition, monitor the use of resources have been allocated, check the amount of resource allocation, calculate the remaining resources, then carry on the independent management to the network resource. It not only can record the system from the use of current resources, but can predict the future network according to the remaining resources and redistribute resources to address inefficient allocation of network resources defects and improve resource utilization, enable the centralization of the network resources, intelligent, visual management, also meet the cognitive networks requirements of the various functions of resources. The ARMM of cognitive networks based on intelligence agent can be deployed in the context of CNs as well as current network environment. It could enhance the QoS of network and users because of its cognitive functions.
Starting Page	201
Ending Page	204
File Size	124380
Page Count	4
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6013575
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability cognitive networks QoS intelligence agent available resources Quality of service Predictive models Educational institutions Resource management Forecasting Monitoring
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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