云网资源与视频任务的高效调度是保障视频物联网(video Internet of things,VIoT)应用性能的关键.然而,目前运营化VIoT所用调度算法对差异化的任务需求和高度动态的云网资源变化适应能力不足,导致VIoT应用性能不佳.针对上述问题,提出了...云网资源与视频任务的高效调度是保障视频物联网(video Internet of things,VIoT)应用性能的关键.然而,目前运营化VIoT所用调度算法对差异化的任务需求和高度动态的云网资源变化适应能力不足,导致VIoT应用性能不佳.针对上述问题,提出了一种基于连续学习的视频物联网任务需求理解与调度方法(continuous learning-based task demand understanding and scheduling method for VIoT,CLTUS).与传统启发式或机器学习驱动的调度算法不同,将连续学习引入云网资源与视频任务需求的匹配中.首先,基于通用的连续学习框架实现各类视频任务需求的准确理解;其次,依据视频任务之间的需求依赖关系,实现任务与服务器的适配,以精细化调度云网资源;最后,将所提方法部署于软件定义的VIoT实验平台上.与传统方法相比,CLTUS不仅将视频任务的平均处理效率提高了127.73%,还将云网资源利用均衡率提高至67.2%,有效增强了VIoT应用性能.展开更多
For Future networks, many research projects have proposed different architectures around the globe;Software Defined Network(SDN) architectures, through separating Data and Control Layers, offer a crucial structure for...For Future networks, many research projects have proposed different architectures around the globe;Software Defined Network(SDN) architectures, through separating Data and Control Layers, offer a crucial structure for it. With a worldwide view and centralized Control, the SDN network provides flexible and reliable network management that improves network throughput and increases link utilization. In addition, it supports an innovative flow scheduling system to help advance Traffic Engineering(TE). For Medium and large-scale networks migrating directly from a legacy network to an SDN Network seems more complicated & even impossible, as there are High potential challenges, including technical, financial, security, shortage of standards, and quality of service degradation challenges. These challenges cause the birth and pave the ground for Hybrid SDN networks, where SDN devices coexist with traditional network devices. This study explores a Hybrid SDN network’s Traffic Engineering and Quality of Services Issues. Quality of service is described by network characteristics such as latency, jitter, loss, bandwidth,and network link utilization, using industry standards and mechanisms in a Hybrid SDN Network. We have organized the related studies in a way that the Quality of Service may gain the most benefit from the concept of Hybrid SDN networks using different algorithms and mechanisms: Deep Reinforcement Learning(DRL), Heuristic algorithm, K path partition algorithm, Genetic algorithm, SOTE algorithm, ROAR method, and Routing Optimization with different optimization mechanisms that help to ensure high-quality performance in a Hybrid SDN Network.展开更多
随着电网的智能化发展,尤其是高清视频类业务的推广,数据通信网末端节点如各类等级的变电站均出现了网络链路拥塞现象,严重时会导致站内运行维护人员无法完成日常运行信息的上报工作。在带宽短时间内无法提升的情况下,成功在现网环境中...随着电网的智能化发展,尤其是高清视频类业务的推广,数据通信网末端节点如各类等级的变电站均出现了网络链路拥塞现象,严重时会导致站内运行维护人员无法完成日常运行信息的上报工作。在带宽短时间内无法提升的情况下,成功在现网环境中带宽明显不足的运城和福瑞2个500 kV变电站部署了服务质量QoS(quality of service)策略,并记录了部署QoS策略前后各类业务的运行参数。实践证明,部署QoS策略后,带宽拥塞站点的重要业务丢包率、时延等参数均得到了一定程度的改善。展开更多
As users’access to the network has evolved into the acquisition of mass contents instead of IP addresses,the IP network architecture based on end-to-end communication cannot meet users’needs.Therefore,the Informatio...As users’access to the network has evolved into the acquisition of mass contents instead of IP addresses,the IP network architecture based on end-to-end communication cannot meet users’needs.Therefore,the Information-Centric Networking(ICN)came into being.From a technical point of view,ICN is a promising future network architecture.Researching and customizing a reasonable pricing mechanism plays a positive role in promoting the deployment of ICN.The current research on ICN pricing mechanism is focused on paid content.Therefore,we study an ICN pricing model for free content,which uses game theory based on Nash equilibrium to analysis.In this work,advertisers are considered,and an advertiser model is established to describe the economic interaction between advertisers and ICN entities.This solution can formulate the best pricing strategy for all ICN entities and maximize the benefits of each entity.Our extensive analysis and numerical results show that the proposed pricing framework is significantly better than existing solutions when it comes to free content.展开更多
文摘云网资源与视频任务的高效调度是保障视频物联网(video Internet of things,VIoT)应用性能的关键.然而,目前运营化VIoT所用调度算法对差异化的任务需求和高度动态的云网资源变化适应能力不足,导致VIoT应用性能不佳.针对上述问题,提出了一种基于连续学习的视频物联网任务需求理解与调度方法(continuous learning-based task demand understanding and scheduling method for VIoT,CLTUS).与传统启发式或机器学习驱动的调度算法不同,将连续学习引入云网资源与视频任务需求的匹配中.首先,基于通用的连续学习框架实现各类视频任务需求的准确理解;其次,依据视频任务之间的需求依赖关系,实现任务与服务器的适配,以精细化调度云网资源;最后,将所提方法部署于软件定义的VIoT实验平台上.与传统方法相比,CLTUS不仅将视频任务的平均处理效率提高了127.73%,还将云网资源利用均衡率提高至67.2%,有效增强了VIoT应用性能.
文摘For Future networks, many research projects have proposed different architectures around the globe;Software Defined Network(SDN) architectures, through separating Data and Control Layers, offer a crucial structure for it. With a worldwide view and centralized Control, the SDN network provides flexible and reliable network management that improves network throughput and increases link utilization. In addition, it supports an innovative flow scheduling system to help advance Traffic Engineering(TE). For Medium and large-scale networks migrating directly from a legacy network to an SDN Network seems more complicated & even impossible, as there are High potential challenges, including technical, financial, security, shortage of standards, and quality of service degradation challenges. These challenges cause the birth and pave the ground for Hybrid SDN networks, where SDN devices coexist with traditional network devices. This study explores a Hybrid SDN network’s Traffic Engineering and Quality of Services Issues. Quality of service is described by network characteristics such as latency, jitter, loss, bandwidth,and network link utilization, using industry standards and mechanisms in a Hybrid SDN Network. We have organized the related studies in a way that the Quality of Service may gain the most benefit from the concept of Hybrid SDN networks using different algorithms and mechanisms: Deep Reinforcement Learning(DRL), Heuristic algorithm, K path partition algorithm, Genetic algorithm, SOTE algorithm, ROAR method, and Routing Optimization with different optimization mechanisms that help to ensure high-quality performance in a Hybrid SDN Network.
文摘随着电网的智能化发展,尤其是高清视频类业务的推广,数据通信网末端节点如各类等级的变电站均出现了网络链路拥塞现象,严重时会导致站内运行维护人员无法完成日常运行信息的上报工作。在带宽短时间内无法提升的情况下,成功在现网环境中带宽明显不足的运城和福瑞2个500 kV变电站部署了服务质量QoS(quality of service)策略,并记录了部署QoS策略前后各类业务的运行参数。实践证明,部署QoS策略后,带宽拥塞站点的重要业务丢包率、时延等参数均得到了一定程度的改善。
基金supported by the Key R&D Program of Anhui Province in 2020 under Grant No.202004a05020078China Environment for Network Innovations(CENI)under Grant No.2016-000052-73-01-000515.
文摘As users’access to the network has evolved into the acquisition of mass contents instead of IP addresses,the IP network architecture based on end-to-end communication cannot meet users’needs.Therefore,the Information-Centric Networking(ICN)came into being.From a technical point of view,ICN is a promising future network architecture.Researching and customizing a reasonable pricing mechanism plays a positive role in promoting the deployment of ICN.The current research on ICN pricing mechanism is focused on paid content.Therefore,we study an ICN pricing model for free content,which uses game theory based on Nash equilibrium to analysis.In this work,advertisers are considered,and an advertiser model is established to describe the economic interaction between advertisers and ICN entities.This solution can formulate the best pricing strategy for all ICN entities and maximize the benefits of each entity.Our extensive analysis and numerical results show that the proposed pricing framework is significantly better than existing solutions when it comes to free content.
