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The integrated emergency communication network for railways faces big challenges in achieving rapid construction due to its involvement of many services and technologies. One research topic worthy of attention is how to achieve the rapid construction of integrated emergency communication networks, while meeting the different needs of various services and multiple scenarios and ensuring the stability and effectiveness of communication networks. This paper draws the inspiration from the new concept of separation between control layer and data layer in software defined network (SDN), and makes the proposal the SDN technology should be introduced to emergency communication. Thus, SDN-based integrated emergency communication networks can be established to achieve such related functions as centralized network control, state perception and on-demand routing, and improve network stability and efficiency. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to solve the problems of unreasonable traffic path allocation, elephant flow collision and high overhead of controller flow table in data center networks, this paper proposed an SDN based hybrid segment routing probability flow scheduling mechanism (SRPFS). By taking advantage of SDN s centralized control feature, SRPFS initialized the traffic forwarding method by hybrid segment routing at first. Then, it utilized particle swarm optimization and redefined the internal particles optimization process to filter the traffic. Finally, SRPFS constructed the global node probability matrix and designed probability scheduling algorithm to elect the optimal path for traffic forwarding. Experimental results show that the hybrid segment routing has a greater advantage in terms of flow table overhead. Compare with other classic flow transmission mechanisms, SRPFS has certain advantages in average network throughput, link utilization and standard network throughput rate, it reduces the controller flow-table overhead and ensures better network performance. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Zhejiang Electric Power is the property of Zhejiang Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Study on Optical Communications / Guangtongxin Yanjiu is the property of Study on Optical Communications Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban) is the property of Zhongguo Xue shu qi Kan (Guang Pan Ban) Dian zi Za zhi She and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of East China University of Science & Technology is the property of Journal of East China University of Science & Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the increase in the number of vehicles and intelligent applications in the IoV, computing intensive tasks have proliferated, and the traditional architecture is difficult to meet user needs. To solve the problems of insufficient and uneven allocation of computing resources in the IoV, insatiable application delay requirements, and high task energy consumption costs, this paper combined MEC and SDN to design an efficient task offloading scheme in the network of vehicles architecture from macro station to MEC server to vehicle, and proposed an improved low-complexity non-dominated sorting genetic algorithm to optimize the task offloading cost and the load balancing rate of MEC server. The experimental simulation results show that the proposed scheme compared with random offloading, NO-MEC offloading, NO-I offloading, traditional NSGA,NSGA-Ⅱ off loading, GA offloading, Q-learning offloading, DQN offloading, has lower offloading cost, better load balancing rate, and approximately the highest system utility, which brings better network services to vehicle users in the IoV. [ABSTRACT FROM AUTHOR]

With the continuous expansion of application requirements, how to provide efficient networking services in a heterogeneous networking environment integrating space, space and ground have become a new problem. Through the analysis of the application scenarios and technical requirements of the future space-air-ground integrated network, a space-air-ground integrated network architecture based on a software-defined network was proposed to met the requirements of rapid response and collaborative processing. At the same time, it briefly expounded on its main components and transmission optimization technology. Then, the development trends and challenges of the software-defined space-air-ground integrated network architecture were summarized and prospected, which provided a reference for the future development of an space-air-ground integrated network. [ABSTRACT FROM AUTHOR]

Aiming at the challenges of continuous evolution of large-scale systems, massive attack data management and control, and flexible implementation of diversified test tasks, a system architecture and technical structure based on software-defined network and cloud platform were proposed. Key technologies such as high-fidelity large-scale network element simulation, high concurrent traffic generation, and dynamic choreography of security service chain based on SDN were studied in depth, and solutions were proposed. The experimental results showed that these three technologies were innovative and could be applied to the construction of the integrated simulation test platform. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Industrial Internet of things(IIoT)must provide real-time and scalable multicast communication services. IIoT has to transmit data frames to receivers within maximal delay, and at the same time to maximize the number of applications it carries. However, among the existing multicast tree algorithms, the single-source tree algorithm only focuses on real-time performance, and the shared tree algorithm only studies to improve scalability. Algorithms that take both into account need to be further studied. Based on SDN technology, a real-time and scalable multicast communication framework for industrial Internet of things is proposed, and a multicast tree algorithm—k-DCMO is designed for it. k-DCMO algorithm constructs a shared tree with limited delay and minimum overhead for each session, which improves the scalability of multicast, and ensures the real-time performance of the session simultaneously. Experiments show k-DCMO algorithm can provide real-time support that the shared tree algorithm cannot provide, and can obtain better scalability than the single-source tree algorithm. In the experimental topology, the overhead is only 6.2% of the latter. [ABSTRACT FROM AUTHOR]

With the rapid development of satellite internet, the shortage of bandwidth and spectrum resources has become increasingly prominent. Satellite laser communication has the characteristics of large bandwidth and no spectrum constraints, which makes it an effective means to alleviate the shortage of radio frequency resources and improve the communication bandwidth. Through the investigation of the development of satellite laser communication at home and abroad, this paper summarizes the future technical development trend in this field. The key technologies such as network reconstruction and efficient coding are studied via simulation, which provide theoretical and technical reference for the research of satellite laser communication in China. [ABSTRACT FROM AUTHOR]

Copyright of Railway Signalling & Communication Engineering is the property of Railway Signalling & Communication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) is the property of Chongqing University of Posts & Telecommunications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Software defined networking (SDN) is a network architecture technology with the functions of network programming and separation of data plane and control plane. The security issues in SDN have attracted much attention in the industry along with the emerging of SDN networks. Due to the characteristics of SDN network architecture, saturation attack is particularly prominent among many security problems. To solve these problems (1) saturation attack detection under traditional networks is difficult to adapt to in the SDN environment, and the detection rate is low; (2) The use of machine learning-based saturation attack detection method requires a large amount of historical data, which has certain requirements for the system’s computing and hardware resources, this paper proposes a saturation attack detection method based on subnet temperature in SDN network environment. Firstly, the network was divided by the concept of subnet, which reduces the detection granularity, improves the detection efficiency and reduces the resources required for detection. After that, the subnet temperature was used as the judgment standard to measure the occurrence of saturation attack, and the detection method of junction and subnet temperature gives a defense scheme for saturation attack. Finally, the simulation comparison was made on the experimental platform of Mininet, Ryu and sFlow. The experimental results showed that compared with other traditional detection technologies, the saturation attack detection algorithm proposed in this paper can ensure higher detection accuracy, higher reliability, complete detection data, high detection rate and low false alarm rate while using fewer system resources. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As Software Defined Network（SDN） is increasingly widely used in various scenarios, a new challenge for SDN to support dynamic requirements of various applications begin to emerge. Digital Twin（DT） can enhance the capabilities of SDN in aspects of real-time analysis, deduction, and network control, and consequently satisfy the dynamic requirements of various applications. Whereas, current DT constructing schemes for SDN usually suffer from the challenges of strict delay constraint, heavy computing overhead, and low cooperating efficiency. To address the above issue, this paper proposes a novel Variable Granularity-Digital Twin（VGDT） according to the application requirement and available computing resource. Based on the distribution characteristic of the computing resource in the network, VGDT builds a cooperatively optimizing model to ensure the delay and effectiveness of the DT for SDN. Then, this paper proposes a hybrid coding genetic algorithm to solve this model, which can achieve the best granularity and the DT placement policy. The simulation results show the performance of VGDT. Compared with current DT, VGDT has higher integrity and validity of digital twin model under limited computing resource. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the data plane configuration problem caused by overlapping forwarding paths of different applications in SDN network, this paper proposes a Boolean function-based network reachability verification method. First, it abstracts the network topology into port topology and calculates the port adjacency matrix; then generates the path space of the network and the forwarding function of each port, and calculates the path function of each path; finally, it judges the accessibility of path from the satisfiability of path function. Through simulation experiments, this paper studies the influence of factors such as network topology and flow rule scale on the algorithm verification efficiency, and the performance of the proposed method is compared with APV and DASDA. Experimental results show that the proposed method can effectively detect flow rule configuration problems in SDN networks. As the number of loops in the network increases and the size of the flow rules grows, the time overhead required to verify the network gradually increases. Among them, the network topology has a great influence on the path generation time, and the generation time of the forwarding function is mainly affected by the scale of the flow rule. Compared with APV and DASDA, the time to verify is shortened by an average of about 53.76% and 27.74%, respectively. [ABSTRACT FROM AUTHOR]

This paper proposed the Non-cooperative Game Theory-based of load-reduction Master Controller Reselection model in Software Defined Networking to address the multi-controller load imbalance problem, called GTMCR. To begin with, the discriminating overload controller utilized the Overload Dynamic Thresholds approach (ODT). Next, the migration of switches followed a Priority Decision Switching Strategy (PDSS). Finally, the constructed optimization model took the load balancing degree of controller clusters, average total delay and switch migration cost as utility functions. To prevent the global optimal solution from slipping into the local optimum, the solution value of optimal deployment used the Genetic Algorithm for Improved Multi-objective Optimization (GAIMO) with the addition of a similarity operator to boost the algorithm’s convergence speed and the accuracy of the global optimal solution. The experimental results show that this mechanism effectively balances the control plane load while achieving the goal of optimizing network performance. [ABSTRACT FROM AUTHOR]

Copyright of Space-Integrated-Ground Information Networks is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Space-Integrated-Ground Information Networks is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Space-Integrated-Ground Information Networks is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Space-Integrated-Ground Information Networks is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Due to the increasing demand for rich multimedia services, Internet of vehicles needs to provide massive equipment connections to meet the needs of high spectrum efficiency and low delay. Software Defined Network (SDN), caching and Non-Orthogonal Multiple Access (NOMA) technologies are considered as potential solutions to effectively solve these key challenges. Therefore, this paper proposed a cache aided NOMA power allocation scheme for software defined vehicular network. Firstly, according to the characteristics of vehicles always moving at high speed in Internet of vehicles, the scheme proposed a new cluster head selection algorithm. The arriving road traffic will be predicted with the help of SDN to realize adaptive vehicle clustering. Secondly, the scheme introduced a cache aided NOMA strategy. Each vehicle uses NOMA principle to cache and request files in the file cache stage. Thirdly, for the two cluster head vehicle communication scenarios under the condition of double Nakagami-m fading, the scheme proposed an optimal power allocation strategy. The optimization problem is formulated as finding the optimal power curve of each vehicle, so as to maximize the probability of successfully decoding the target file on each vehicle. Finally, numerical simulation and theoretical analysis show that the performance of the proposed cache aided NOMA power allocation scheme is significantly better than the conventional NOMA and cache aided Orthogonal Multiple Access（OMA). [ABSTRACT FROM AUTHOR]

Copyright of Railway Signalling & Communication Engineering is the property of Railway Signalling & Communication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin University of Science & Technology is the property of Journal of Harbin University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The distributed denial of service ( DDoS) attack detection method in traditional software defined network ( SDN ) requires frequent communication between the control plane and the data plane, which will lead to significant overhead and delay, and the current programmable data plane can not implement complex detection algorithms, so it is difficult to ensure high detection efficiency. To solve the above problems, this paper proposed a DDoS attack detection method based on programming protocol-independent packet processors ( P4 ) programmable data plane. First of all, the method used the improved information entropy based on P4 as initial detection to determine whether suspicious traffic occurred . Then, it took advantage of the microsecond time required for feature extraction by P4 to extract the six-tuple features of suspicious traffic, and imported them into the data standardization-deep neural network ( DS-DNN ) reinspection module to determine whether they were DDoS attack traffic . Finally, it tested the evaluation indicators of the method in the real environment. The experimental results show that this method can better detect DDoS attacks in SDN environments, ensure high detection rate and accuracy, effectively reduce the false alarm rate, and shorten the detection time to millisecond level. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Mine Automation is the property of Industry & Mine Automation Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the software defined network and network function virtualization environment, for the deployment of service function chain in multicast, this paper explored the deployment of joint virtual network function and traffic routing in multi-source multicast. The purpose was to minimize the total node resource consumption and link resource consumption cost. At the same time, considering the node, link and bandwidth delay constraints, it established an integer linear programming model and proposed a heuristic algorithm called multi-source multicast tree optimization. The algorithm aimed to find the nearest source node for all users, obtained multiple source and destination node groups, constructed a multicast service function tree for each group, and then optimized the multicast service function tree. Experimental simulation results show that compared with other heuristic algorithms, this algorithm effectively reduces the total cost, link utilization and delay. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Mine Automation is the property of Industry & Mine Automation Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the access of a large number of devices in the network, the environment in the network is becoming more and more complex and diversified. The traditional software-defined network (SDN)routing algorithm does not consider the environmental factors in the network when it finds the way. If these factors are not considered, the real- time status awareness of network nodes cannot be better realized, then users cannot have a better network experience. In response to this problem, combined with network environment information, an intelligent routing algorithm based on SDN network environment awareness is proposed. This algorithm divides two-dimensionally in time, integrates the attribute information of nodes, calculates the probability of encounter between nodes, and then predicts through BP neural network, and finally selects a suitable relay node to complete the data transmission. Simulation experiments have proved the effectiveness of the algorithm in data transmission rate, delay and transmission hops. [ABSTRACT FROM AUTHOR]

With the rising of SDN and achieving great success of machine learning methods in classification, prediction and control tasks, to find new TE technology, manage or route the traffic in the network adaptively and dynamical, ensuring QoS and improving quality of user experience (QoE) have become the focus of network research. Firstly, this paper introduced the basic structure of SDN and the research content and objectives of SDN traffic engineering. Secondly, it analyzed the application of supervised learning methods and reinforcement learning in SDN traffic engineering, and analyzed the advantages and disadvantages of existing algorithms. Finally, it summarized the future research directions and challenges. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of South China University of Technology (Natural Science Edition) is the property of South China University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Although the newly introduced SDN and NFV technologies bring flexibility and convenience in network management, the dynamic forwarding policies introduced by SDN may cause invalidation in the network function policies, and the policies in different network functions may also cause conflicts due to their own behaviors. In order to verify the policies in SDN/NFV-based cloud network, the verification on policies between the network function and the SDN device, as well as across the network functions were considered. A unified policy expression for analysis was summarized, and policy verification scheme, framework and prototype implementation were proposed to verify the correctness of polices in different scenarios, then experiments were conducted to justify the effectiveness and performance.

To solve the problem of migration cost and efficiency of load balancing among multiple controllers in software defined networking, this paper proposed a switch migration strategy based on fuzzy satisfaction. Firstly, it constructed the balanced judgment matrix to monitor the load state of controllers, and divided switch groups by the proposed switch unit selection degree to select migration switches. Then, it constructed the migration competition model based on fuzzy satisfaction by considering the migration cost and load balance rate, and proposed an improved ant colony algorithm to select the best migration controller. Finally, it migrated migration switches to the migration controller to realize the rapid migration of switches. Experimental results show that compared with the existing switch migration strategies, this strategy not only ensures the high load balancing rate, but also further optimizes the network performance. In this strategy, the average migration cost decreases by about 26.8% and the average response time reduces by about 0.41 s, which improves the switch migration process. [ABSTRACT FROM AUTHOR]