基于渐进式波纹的高响应时间自治分散社区系统服务发现

K. Mahmood, Y. Horikoshi, S. Niki, Xiaodong Lu, K. Mori
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引用次数: 6

摘要

基于位置的服务(LBS)有望在未来的电子商务中发挥关键作用。虽然LBS在地理位置的基础上考虑服务的提供,但是没有考虑时间方面和用户的兴趣。我们建议将时间意识和需求导向的背景与地理位置结合起来,发展社区普适服务(CPS)的理念。在高度动态的自治分散社区系统(ADCS)运行环境中,要在实时约束下识别合适的服务提供者,需要高效的搜索技术。在点对点和无线自组织网络中,现有的许多资源发现策略都可以被n环模型捕获,这在高度不可预测和动态的ADCS运行环境中不能满足实时性要求。因此,我们提出了一种新的思路,即通过稳定扩展搜索,结合蜗牛速度推进和快速边界约束机制来寻找合适的服务提供商。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Progressive Ripple-Based Service Discovery for High Response Time in Autonomous Decentralized Community System
Location based services (LBS) are expected to play crucial role in future of e-commerce. Although, LBS consider service provision on the basis of location, but don't take into consideration time aspect and user's interests. We propose incorporation of time-awareness and demand-oriented contexts along with location to develop idea of community pervasive services (CPS).To identify appropriate service provider subjected to real-time constraint in highly dynamic operational environment of autonomous decentralized community system (ADCS), efficient searching technique is required. Many existing resource discovery strategies in area of peer to peer and wireless ad hoc network can be captured by the n-ring model, which can't meet real time requirements in highly unpredictable and dynamic operating environment of ADCS. Therefore, we present novel idea of steady expanding search coupled with snail's pace advancement and swift boundary confining mechanism to seek appropriate service provider. Simulation results verify the effectiveness of the proposed technique.
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