动态网络环境下服务组合优化方法的分析与研究

发布时间：2018-05-30 02:31

本文选题：动态网络 + 服务组合优化　；参考：《北京科技大学》2016年博士论文

【摘要】：无线技术的飞速发展使得无线设备(如：智能手机、可穿戴设备等)大量涌现,丰富互联网接入和通信手段的同时,也使互联网面临更高效处理各类服务请求的挑战。在含有相当数量无线通信设备的网络环境下,服务请求多样性、网络节点移动性和通信资源稀缺性制约了已有成熟策略的采用,结合网络特点开展更具针对性的服务优化策略研究是本文的工作重点。通过分析多种类型的无线通信网络及所承载主要网络服务应用的特点,进一步明晰动态网络环境主要表现在网络拓扑持续变化、节点通信和服务能力受限、服务请求多样化和随机性等特点。针对上述特点,本文探讨了服务路径的优化调控和部署、业务流差别化的优化调度和轻量级的恶意节点发现与信道保障的加密机制。详细地,针对节点可移动的网络环境,为适应服务组合优化的需求,提出了一种利用节点移动适应动态网络服务组合优化方法MASCO。根据服务组合需求,首先,计算反向路由候选节点和相应的冗余跳数,并基于局部节点信息计算候选节点重定位的最佳位置；然后,利用设计的分布式控制器下发节点的服务内容,并将相应节点推送到最佳位置,通过消除反向路由达到优化服务组合的目的。针对服务请求多样化和分布式的特点,提出业务流差别化处理、局部动态优化组合的方法,减少业务流的传输碰撞,尽可能地满足各类服务的质量需求。通过设计用于服务提供商和用户间服务质量的SLA机制,规范各种服务请求的服务质量等级,进而确定用于服务组合各类业务流的优先级：进一步,通过设计基于不同服务等级业务流的冲突避免和传输机制,实现业务流差别处理,提高网络吞吐量和用户体验。针对为应对设备的移动性常采用的增大网络延迟容忍机制的弊端,及时发现恶意节点利用间断连通的链路发起的密钥耗损攻击,提出了一种应用于分布式网络环境下轻量级密钥管理机制KMDTAN。通过基于无基础设施的加密验证机制,降低验证过程的端到端要求,可以及早发现恶意攻击,避免对节点资源的消耗,有利于延长网络资源的生命周期,进而保障服务组合策略具有较高的可靠性。
[Abstract]:The rapid development of wireless technology has made wireless devices (such as smart phones, wearable devices, etc.) springing up, enriching the means of Internet access and communication, and also making the Internet more efficient in dealing with various service requests. In the network environment with a considerable number of wireless communications, service request diversity, network nodes Mobility and the scarcity of communication resources restrict the adoption of the existing mature strategies. It is the focus of this paper to carry out a more targeted service optimization strategy in combination with the characteristics of the network. Through the analysis of the characteristics of various types of wireless communication networks and the main network service applications they carry, the main performance of the dynamic network environment is clarified. The network topology is constantly changing, the node communication and service ability are limited, the service requests are diversified and random. In this paper, the optimization and control and deployment of service path, the optimal scheduling of service flow differentiation and the encryption mechanism of the lightweight malicious node discovery and channel security are discussed in detail. The mobile network environment, in order to meet the needs of service composition optimization, proposes a method of using node mobility adaptive dynamic network service composition optimization (MASCO.) according to the service composition requirement. First, the candidate nodes and corresponding redundant hops are calculated, and the optimal location of the candidate node relocation is calculated based on the local node information. Then, using the distributed controller to send the service content of the node, and push the corresponding nodes to the best position, to optimize the service composition by eliminating the reverse route. In view of the diversified and distributed characteristics of the service request, this paper puts forward the method of business flow differential processing and local dynamic optimization combination to reduce the traffic flow. Transport collisions to meet the quality requirements of various services as much as possible. By designing the SLA mechanism for service providers and users' quality of service, the quality level of various service requests is normalized, and then the priority of various service streams for service composition is determined: further, by designing a conflict based on the service flow of different service levels In order to improve network throughput and user experience, the problem of increasing network throughput and user experience is achieved by avoiding and transmitting mechanism to improve network throughput and user experience. The lightweight key management mechanism KMDTAN. reduces the end to end requirements of the verification process through the encryption verification mechanism based on the infrastructure without infrastructure. It can detect malicious attacks early, avoid the consumption of node resources, prolong the life cycle of the network resources, and then ensure the high reliability of the service combination strategy.
【学位授予单位】：北京科技大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：TN929.5

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