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杜昱 《网络安全技术与应用》2010,(3):41-44
本文讨论了当今计算机网络中的服务质量控制的有效方法。计算机网络发展至今,已经由传统的纯数据业务转向了兼有语音、图像、视频的多媒体网络业务,而传统的网络是提供尽力而为的服务,无法保证服务质量,这就使网络的拥塞问题日趋严重。解决网络拥塞的途径有许多,可以提高网络本身的带宽,可以减少或限制某些业务流量,可以改善网络节点路由器的处理性能。由此可见,网络服务质量(QoS)控制既是一个急待解决的问题,又是一项综合性的系统工作。 相似文献
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文章在通信资源的形式化描述基础上,设计了一种信息栅格的传输体系,为一体化信息系统提供透明的传输服务。针对多重网络传输服务与网络性能的多样性,提出了一种基于作战任务的层次覆盖网络模型,以及实现网络负载均衡的QoS路由算法。 相似文献
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CBSD(Component-Based Software Development)已经成为嵌入式软件开发的主流技术。在嵌入式环境下,有大量功能相似的构件,在开发过程中基于QoS的构件选择已成为研究热点。然而这些构件的QoS声明与提供者给出的往往并不一致。为此,提出一种基于修正QoS值的构件选择方法,该方法将QoS信任度作为权重,修正QoS值,再结合模糊逻辑,推理出该构件的综合服务能力。通过嵌入式VOD仿真实验,验证了算法的有效性,保证了构件选择的客观性和准确性。 相似文献
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In recent years, Grid systems and Peer to Peer networks are the most commonly-used solutions to achieve the same goal: the sharing of resources and services in heterogeneous, dynamic, distributed environments. Many studies have proposed hybrid approaches that try to conjugate the advantages of the two models. This paper proposes an architecture that integrates the P2P interaction model in Grid environments, so as to build an open cooperative model wherein Grid entities are composed in a decentralized way. In particular, this paper focuses on a QoS aware discovery algorithm for P2P Grid systems, analyzing protocol and explaining techniques used to improve its performance. 相似文献
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In this paper we explore the interest of computational intelligence tools in the management of heterogeneous communication networks, specifically to predict congestion, failures and other anomalies in the network that may eventually lead to degradation of the quality of offered services. We show two different applications based on neural and neuro-fuzzy systems for quality of service (QoS) management in next generation networks for voice and video service over heterogeneous Internet protocol (V2oIP) services. The two examples explained in this paper attempt to predict the communication network resources for new incoming calls, and visualizing the QoS of a communication network by means of self-organizing maps. 相似文献
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Minhong Wang Huaiqing Wang Doug Vogel Kuldeep Kumar Dickson K.W. Chiu 《Engineering Applications of Artificial Intelligence》2009,22(7):1046-1055
Modern businesses are facing the challenge of effectively coordinating their supply chains from upstream to downstream services. It is a complex problem to search, schedule, and coordinate a set of services from a large number of service resources under various constraints and uncertainties. Existing approaches to this problem have relied on complete information regarding service requirements and resources, without adequately addressing the dynamics and uncertainties of the environments. The real-world situations are complicated as a result of ambiguity in the requirements of the services, the uncertainty of solutions from service providers, and the interdependencies among the services to be composed. This paper investigates the complexity of supply chain formation and proposes an agent-mediated coordination approach. Each agent works as a broker for each service type, dedicated to selecting solutions for each service as well as interacting with other agents in refining the decision making to achieve compatibility among the solutions. The coordination among agents concerns decision making at strategic, tactical, and operational level. At the strategic level, agents communicate and negotiate for supply chain formation; at the tactical level, argumentation is used by agents to communicate and understand the preferences and constraints of each other; at the operational level, different strategies are used for selecting the preferences. Based on this approach, a prototype has been implemented with simulated experiments highlighting the effectiveness of the approach. 相似文献