Context-based Dynamic Channel Management for Efficient Event Service in Pervasive Computing

You, Young Kwon; Han, Soohee; Song, Sung Keun; Youn, Hee Yong

doi:10.1109/iccsa.2007.68

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…Categorization of services by the types and user preferences allows efficient search of the service matching the requested one. The performance of JADE-DF and CBDF are measured and compared with an agent platform, which conforms to the FIPA specification with MTS (Message Transport Service), AMS (Agent Management Service), and DF agent (Park et al 2007;Rhee et al 2008;Song et al 2007;You et al 2007). It reveals that the proposed CBDF allows faster searching of the requested service, while the difference gets bigger as the number of services increases.…”

Section: Introductionmentioning

confidence: 92%

Efficient category-based service discovery on multi-agent platform

2010

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Today, multi-agent technologies are widely used for realizing prevalent ubiquitous computing applications, in which service discovery is a critical task for finding a particular service instance. While JADE is a popular system for multi-agent applications, its directory facilitator (DF) used for service discovery employs a sequential search approach, which shows degraded performance when the number of registered services becomes large. This paper proposes a new DF scheme employing the category-based classification and search approach. It greatly reduces the search space and allows accurate matchmaking. The DF implemented with the proposed approach and JADE-DF are compared in terms of query response time and memory space requirement. It demonstrates that the proposed DF allows faster query processing than JADE-DF and requires smaller memory space, especially for a large number of services and queries of multiple parameters.

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Section: Introductionmentioning

confidence: 92%

Efficient category-based service discovery on multi-agent platform

2010

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“…It permits reflecting the perspective of constituent agents for rational reasoning. The proposed scheme is applied to the agent-based context-aware system [13][14][15][16][17][18] developed by the authors for providing context-aware service. It applies reasoning to the situation and requests a service using the proposed model.…”

Section: Co-published By Atlantis Press and Taylor And Francismentioning

confidence: 99%

Reflecting the Perspectives of Multiple Agents in Distributed Reasoning for Context-Aware Service

Han¹,

Youn²

2013

IJCIS

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Effective manipulation of context is very important in providing the context-aware services. In recent years, a variety of context models have been proposed to p roperly handle the key aspects of the context, while focusing on scenario-based acquisition, management, and representation of context. However, they are difficult to be employed for the agent-based system requiring distributed reasoning. In this paper we propose a context modeling approach for distributed reasoning and merge operator reflecting the perspective of constituent agents for rational reasoning. In addition, an agent-based context-aware system is developed implementing the proposed scheme. Performance evaluation by computer simulation on a use case of smart classroom shows that the proposed approach enables the agents to rationally reason and thereby provide intelligent context -aware services to the users.

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