在线SDN控制器性能监控器设计与研究

随着网络规模和网络数据流量的变大,软件定义网络控制器性能问题可能成为网络瓶颈,为了在动态负载情况下仍然可以获取控制器准确的性能状态,设计了一个在线的性能监控器框架,并定义了控制器时延性能衡量指标Lpdex.在一款广泛使用的FloodLight控制器中实现了性能监控器的简单原型,经过实验评估,验证了控制器性能监控器的可行性和Lpdex可在线准确地反映控制器在不同负载情况下时延性能的变化.     

沙漠多节点宽带通信网络架构与关键技术

针对沙漠区域特殊环境下的资源能源受限的问题,提出了沙漠多节点宽带通信网络架构的构想,并梳理了其关键技术及解决途径。该网络采用两套体制和三层网络的架构,既可以满足低延迟的可靠性传输,又能达到宽带传输的目的。通过不同的通信体制和网络层级响应不同业务的传输,实现了沙漠特殊的无线传播环境和基础设施缺乏的条件下多节点宽带通信组网的目标,以解决沙漠区域信号盲区的通信问题。相应的通信组网技术可扩展应用到未来深空探测行星表面组网。     

蓝牙资格认证要点

蓝牙资格认证的核心规范带来了物理层、链路层和同步适配层的新测试要求。介绍了蓝牙资格认证的四个要点,包括蓝牙资格认证流程、蓝牙技术联盟会员须知、蓝牙资格认证版本、蓝牙组网技术认证与测试规范,旨在为有蓝牙认证需求的企业提供帮助。     

Routing algorithm design of satellite network architecture based on SDN and ICN

In view of the problems of low routing efficiency, complex control process, and difficult network management in big data environment in the traditional integrated space‐terrestrial network, in the paper, we propose a satellite network architecture called software‐defined information centric satellite networking (SDICSN) based on software‐defined networking (SDN) and information‐centric networking (ICN), and we design a virtual node matrix routing algorithm (VNMR) under the SDICSN architecture. The SDICSN architecture realizes the flexibility of network management and business deployment through the features of the separation of forwarding and controlling by the SDN architecture and improves the response speed of requests in the network by the centric of “content” as the ICN idea. According to the periodicity and predictability of the satellite network, the VNMR algorithm obtains the routing matrix through the relative orientation of the source and destination nodes, thus reducing the spatial complexity of the input matrix of the Dijkstra algorithm and then reducing the time complexity of the routing algorithm. For forwarding information base (FIB), the mechanism of combination of event driven and polling can be quickly updated in real time. Finally, the advantages of the SDICSN architecture in routing efficiency, request delay, and request aggregation are verified by simulation.     

一种面向Portal认证的IPv6可信地址分配机制

随着网络规模的增长,对网络进行精细化管控变得尤为重要。在下一代互联网中将用户可信身份嵌入 IPv6 地址后缀形成可信地址,能够进一步提高网络行为的可追溯性。目前已有研究基于 Portal 认证配合DHCPv6将用户的身份信息嵌入用户终端的IPv6地址中,但是为了分配可信地址而改动的DHCPv6过程造成了机制对用户终端不透明,无法大规模部署。提出了一种面向Portal认证的IPv6可信地址分配机制,通过服务器信令交互配合软件定义网络（SDN）技术实现IPv6可信地址的间接分配,而且与地址分配方式无关。最后,实现了一个原型系统并在江苏南京电信现网机房评估了其可行性和性能,结果表明此机制在对终端透明的情况下仅带来很少的额外开销。     

Can energy optimization lead to economic and environmental waste in LPWAN architectures?

As low-power wide-area network (LPWAN) end devices (EDs) are deployed in massive scale, their economic and environmental costs of operation are becoming too significant to ignore and too difficult to estimate. While LPWAN architectures and protocols are designed to primarily save energy, this study shows that energy saving does not necessarily lead to lower cost or environmental footprint of the network. Accordingly, a theoretical framework is proposed to estimate the operational expenditure (OpEx) and environmental footprint of LPWAN EDs. An extended constrained optimization model is provided for the ED link assignment to gateways (GWs) based on heterogeneous ED configurations and hardware specifications. Based on the models, a simulation framework is developed which demonstrates that OpEx, energy consumption, and environmental footprint can be in conflict with each other as constrained optimization objectives. We demonstrate different ways to achieve compromises in each dimension for overall improved network performance.     

面向移动网络环境的智能协同蜜网设计与性能分析

在移动网络环境下,因各移动蜜罐资源有限、攻击注入手段灵活多变,需要动态部署蜜网以协同地检测攻击行为特征。然而现有蜜网易遭受特征识别攻击、网内恶意流量肆意传播、不能跨蜜罐迁移连接。为此,基于软件定义网络（software defined networking,SDN）技术,设计了一种智能协同蜜网（intelligent and collaborative Honeynet,ic-Honeynet）系统。它由逆向连接代理模块和蜜网控制器组成,它的优势在于逐一克服了上述3个缺陷。最后,搭建了一个ic-Honeynet实验环境,并验证了该系统的有效性。实验结果表明：该系统吞吐量近乎线速,高达8.23 Gbit/s;响应时延额外增加很小,仅在0.5～1.2 ms区间变化;连接处理能力也很强,可高达1 473个连接/s。     

Exploiting the control power of SDN during the transition from IP to SDN networks

The emerging software‐defined networking (SDN) paradigm introduces new opportunities to improve network performance due to the flexibility and programmability provided by a logically centralized element named controller. However, a rapid adoption of the full SDN architecture is difficult in the short term due to economic and technical reasons. This paper faces the SDN nodes replacement problem during the transition from traditional IP networks to fully deployed SDN networks. Six different replacement methods are proposed to select the most appropriate set of traditional IP nodes to be upgraded to SDN‐enabled switches at a particular transition stage. To show the effectiveness of the proposed methods, they have been applied on an optimization problem currently studied by the research community: the power consumption problem. An integer linear programming formulation is presented to solve it and a genetic algorithm is evaluated through simulations on realistic network topologies. Results highlight that energy‐efficiency in hybrid IP/SDN networks can be significantly improved by only replacing a reduced number of IP nodes.     

An efficient in‐network caching decision algorithm for Internet of things

Recently, content‐centric networking (CCN) has become one of the important technologies for enabling the future networks. Along with its recognized potentialities as a content retrieval and dissemination solution, CCN has been also recently considered as a promising architecture for the Internet of things (IoT), because of 2 main features such as named‐based routing and in‐network caching. However, IoT is characterized by challenging features: small storage capacity of resource‐constrained devices due to cost and limitation of energy and especially transient data that impose stringent requirements on the information freshness. As a consequence, the intrinsic caching mechanisms existing in CCN approach do not well suit IoT domains; hence, providing a specific caching policy at intermediate nodes is a very challenging task. This paper proposes an effective multiattribute in‐network caching decision algorithm that performs a caching strategy in CCN‐IoT network by considering a set of crucial attributes including the content store size, hop count, particularly key temporal properties like data freshness, and the node energy level. Simulation results proved that our proposed approach outperforms 2 cache management schemes (probabilistic least recently used and AlwaysCache–first in first out in terms of improving total hit rate, reducing data retrieval delay, and enhancing content reusability in IoT environment).     

Joint server and network optimization toward load‐balanced service chaining

Prior service chaining systems address server and network load balancing issues individually, which may not ensure efficient system performance. To this end, in this paper, we study the design, implementation, complexity analysis, and evaluation of Nearest First and Local‐Global Transformation algorithm, which jointly supports server and network load balancing for chaining virtualized network functions (VNFs) in data center environment. The algorithm firstly constructs service chains by a greedy strategy, which both considers server and network latency. Then a searching technique, which replaces a selected VNF with another candidate and swaps the order of VNFs in service chains, is applied to improve the solutions. We have implemented the algorithm using Software‐defined networking and OpenFlow concepts. The numerical results indicate that, compared with a sequential approach, Nearest First and Local‐Global Transformation increases the system bandwidth utilization up to 45%. The results also show that it is worth applying the second phase of our algorithm since it considerably enhances the system performance by 20%.