Efficient querying and resource management using distributed presence information in converged networks

Next-generation converged networks shall deliver many innovative services over the standardized SIPbased IMS signaling infrastructure. Several such services exploit the joint presence information of a consumer, i.e. SIP entity requesting a service, and a vendor, i.e. SIP resource providing a service...

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Main Authors: CHAKRABORTY, Dipanjan, DASGUPTA, Koustuv, MISRA, Archan
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Language:English
Published: Institutional Knowledge at Singapore Management University 2006
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Online Access:https://ink.library.smu.edu.sg/sis_research/685
https://ink.library.smu.edu.sg/context/sis_research/article/1684/viewcontent/Efficient_Querying_2006_av.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-16842020-07-29T01:13:52Z Efficient querying and resource management using distributed presence information in converged networks CHAKRABORTY, Dipanjan DASGUPTA, Koustuv MISRA, Archan Next-generation converged networks shall deliver many innovative services over the standardized SIPbased IMS signaling infrastructure. Several such services exploit the joint presence information of a consumer, i.e. SIP entity requesting a service, and a vendor, i.e. SIP resource providing a service. Presence information is a collection of contextual attributes (e.g. location, availability, reputation), some of which change dynamically. Moreover, this collective presence information is distributed across multiple presence servers. While performing query matching based on joint presence information, a server usually routes each query to a locally available resource. However, skews in the spatio-temporal distribution of queries and resources may require queries to be routed to alternate servers with available resources. We propose a novel Resource-Aware Query Routing scheme, called RAQR, where each server proactively establishes gradients to suitable servers via a diffusion-based algorithm. Gradients are set up whenever a server anticipates scarcity of resources and withdrawn when the resource crunch is mitigated. We compare RAQR with alternative resource matching schemes and show that it adapts to spatio-temporal variations in resource availability, thereby leading to effective query matching with minimal control overhead. 2006-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/685 info:doi/10.1109/MDM.2006.81 https://ink.library.smu.edu.sg/context/sis_research/article/1684/viewcontent/Efficient_Querying_2006_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Software Engineering
spellingShingle Software Engineering
CHAKRABORTY, Dipanjan
DASGUPTA, Koustuv
MISRA, Archan
Efficient querying and resource management using distributed presence information in converged networks
description Next-generation converged networks shall deliver many innovative services over the standardized SIPbased IMS signaling infrastructure. Several such services exploit the joint presence information of a consumer, i.e. SIP entity requesting a service, and a vendor, i.e. SIP resource providing a service. Presence information is a collection of contextual attributes (e.g. location, availability, reputation), some of which change dynamically. Moreover, this collective presence information is distributed across multiple presence servers. While performing query matching based on joint presence information, a server usually routes each query to a locally available resource. However, skews in the spatio-temporal distribution of queries and resources may require queries to be routed to alternate servers with available resources. We propose a novel Resource-Aware Query Routing scheme, called RAQR, where each server proactively establishes gradients to suitable servers via a diffusion-based algorithm. Gradients are set up whenever a server anticipates scarcity of resources and withdrawn when the resource crunch is mitigated. We compare RAQR with alternative resource matching schemes and show that it adapts to spatio-temporal variations in resource availability, thereby leading to effective query matching with minimal control overhead.
format text
author CHAKRABORTY, Dipanjan
DASGUPTA, Koustuv
MISRA, Archan
author_facet CHAKRABORTY, Dipanjan
DASGUPTA, Koustuv
MISRA, Archan
author_sort CHAKRABORTY, Dipanjan
title Efficient querying and resource management using distributed presence information in converged networks
title_short Efficient querying and resource management using distributed presence information in converged networks
title_full Efficient querying and resource management using distributed presence information in converged networks
title_fullStr Efficient querying and resource management using distributed presence information in converged networks
title_full_unstemmed Efficient querying and resource management using distributed presence information in converged networks
title_sort efficient querying and resource management using distributed presence information in converged networks
publisher Institutional Knowledge at Singapore Management University
publishDate 2006
url https://ink.library.smu.edu.sg/sis_research/685
https://ink.library.smu.edu.sg/context/sis_research/article/1684/viewcontent/Efficient_Querying_2006_av.pdf
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