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Distributed multi-agent scheme support for service continuity in IMS-4G-Cloud networks

机译:分布式多代理方案支持IMS-4G-Cloud网络中的服务连续性

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摘要

In this study, the Quality of Service (QoS) needed to support service continuity in heterogeneous networks is achieved by a Distributed Multi-Agent Scheme (DMAS) based on cooperation concepts and an awareness algorithm. A set of problem solving agents autonomously process local tasks and cooperatively interoperate via an in-cloud blackboard system to provide QoS and mobility information. A Q-Learning awareness algorithm calculates the exceptive rewards of a handoff to all access networks. These rewards are then used by problem solving agents to determine what actions must be performed. Agents located in the integrated IMS-4G-Cloud networks handle service continuity by using a handoff mechanism. Through operations and cooperation among active agents, these phases select a policy for predictive and anticipated IF Multimedia Subsystem (IMS) handoff management. Compared with conventional IMS handoff management, the proposed DMAS scheme achieves shorter handoff delay and better QoS for real-time service applications. (C) 2014 Elsevier Ltd. All rights reserved.
机译:在这项研究中,通过基于协作概念和感知算法的分布式多代理方案(DMAS),可以实现支持异构网络中的服务连续性所需的服务质量(QoS)。一组解决问题的代理可以自主处理本地任务,并通过云中黑板系统协作进行互操作以提供QoS和移动性信息。 Q-Learning认知算法可计算出向所有接入网络进行切换的例外奖励。然后,问题解决代理将使用这些奖励来确定必须执行的操作。位于集成IMS-4G-Cloud网络中的代理通过使用切换机制来处理服务连续性。通过活动代理之间的操作和合作,这些阶段选择了用于预测和预期的IF多媒体子系统(IMS)切换管理的策略。与传统的IMS切换管理相比,提出的DMAS方案为实时服务应用实现了更短的切换延迟和更好的QoS。 (C)2014 Elsevier Ltd.保留所有权利。

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