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1.
该文通过对SDN本地综合承载传送网技术应用现状的分析,明确社会使用的需求,进而提出构建SDN的本地综合承载传送网技术网络架构和模型的方法,对SDN的本地综合承载传送网技术进行全面的分析。  相似文献   
2.
提出了一种新的基于软件定义网络的多区域网络虚拟化模型。该模型引入了网络区域的逻辑概念,在同一个区域中使用某种网络虚拟化技术,在区域与区域的边界通过控制平面的统一控制实现不同虚拟网络标识符的转换,完成跨区域交互。该模型可以同时兼容多种网络虚拟化技术,实现高效率、可扩展、大规模的网络虚拟化。  相似文献   
3.
SDN具有转发和控制分离、控制逻辑集中、网络虚拟化、网络能力开放化等特点。因此SDN技术能很好地契合数据中心网络的集中网络管理、灵活组网多路径转发、虚拟机部署和智能迁移、虚拟多租户、Iaa S等方面的需求。SDN具有不同的技术流派及部署方案,因此,本文将以Over Lay SDN解决方案为依托,探索其部署方案即及应用效果,为在生产环境中应用SDN提供参考。  相似文献   
4.
随着国家新基建战略的发布,运营商云网融合目标有了更为丰富的内涵和意义。“网为基础、云为关键、网随云动、云网一体”战略的实现需要新技术新架构,文章主要分析了实现云网融合战略目标新架构下的关键新技术应用。  相似文献   
5.
提出了一种新的承载网络架构,其最主要的特点是控制和承载分离.还根据当前软件定义网络(SDN)技术发展的水平、现有宽带网络网关(BNG)设备的实现以及电信承载网络自身的特点,提出了电信承载网和BNG设备向SDN架构演进的阶段性发展步骤,并对其中的一些细节进行了详细探讨.SDN网络的逐步部署必将加速互联网技术革新的步伐,为未来电信网络注入更多活力.  相似文献   
6.
IDC是目前互联网流量的重要发源地之一,很可能成为未来电信承载网的核心环节,随着移动互联网和云计算的兴起,云IDC的出现带来了承载网络的一系列新挑战。基于SDN理念的DCI互联场景可以满足新的业务需求,提供一个可扩展、高灵活的新型智能化网络解决方案,保障IDC网络的持续发展。  相似文献   
7.
    
Summary Software‐Defined Networking (SDN) is an emerging network paradigm that has gained significant traction from many researchers to address the requirement of current data centers. Although central control is the major advantage of SDN, it is also a single point of failure if it is made unreachable by a Distributed Denial of Service (DDoS) attack. Despite the large number of traditional detection solutions that exist currently, DDoS attacks continue to grow in frequency, volume, and severity. This paper brings an analysis of the problem and suggests the implementation of four machine learning algorithms (SVM, MLP, Decision Tree, and Random Forest) with the purpose of classifying DDoS attacks in an SDN simulated environment (Mininet 2.2.2). With this goal, the DDoS attacks were simulated using the Scapy tool with a list of valid IPs, acquiring, as a result, the best accuracy with the Random Forest algorithm and the best processing time with the Decision Tree algorithm. Moreover, it is shown the most important features to classify DDoS attacks and some drawbacks in the implementation of a classifier to detect the three kinds of DDoS attacks discussed in this paper (controller attack, flow‐table attack, and bandwidth attack).  相似文献   
8.
    
The rapid development of internet of things (IoT) is to be the next generation of the IoT devices are a simple target for attackers due to the lack of security. Attackers can easily hack the IoT devices that can be used to form botnets, which can be used to launch distributed denial of service (DDoS) attack against networks. Botnets are the most dangerous threat to the security systems. Software-defined networking (SDN) is one of the developing filed, which introduce the capacity of dynamic program to the network. Use the flexibility and multidimensional characteristics of SDN used to prevent DDoS attacks. The DDoS attack is the major attack to the network, which makes the entire network down, so that normal users might not avail the services from the server. In this article, we proposed the DDoS attack detection model based on SDN environment by combining support vector machine classification algorithm is used to collect flow table values in sampling time periods. From the flow table values, the five-tuple characteristic values extracted and based on it the DDoS attack can be detected. Based on the experimental results, we found the average accuracy rate is 96.23% with a normal amount of traffic flow. Proposed research offers a better DDoS detection rate on SDN.  相似文献   
9.
    
The recent developments in collaborative search, acquisition, and tracking have hoisted the geographical barrier. The network between unmanned aerial vehicles (UAVs) and wireless sensor networks (WSNs) is one such collaboration, which comprises battery‐powered static sensor nodes that act as sources and sinks and UAVs that act as relays. This collaborative network presents with opportunities and advantages, but at the same time, configuration of such networks is an arduous task. The WSN nodes are characterized by constant depleting power. Their network itself requires constant management and reconfiguration. These requisites can be slaked through the formation of an efficient data dissemination algorithm, which acclimates according to the network state. Considering this, a data dissemination approach is presented in this paper, which constructs a virtual topology predicated on the charge of WSN nodes utilizing software‐defined networks (SDNs) through UAVs. The topology is constantly monitored and reconfigured when required. The aerial nodes are equipped with multiple‐input multiple‐output (MIMO) antennas in order to facilitate simultaneous communication with the ground nodes, the base station, and the SDN controller. An efficient sleep timer and backoff counter strategies are also utilized by the proposed approach. The SDN controller facilitates the topology formation and maintenance of a sleep timer and a backoff counter. The proposed model is compared with clustered hierarchical layouts and hexagonal cell layouts through the network simulations. The results suggest significant improvements in the proposed model for various metrics, such as lifetime, delay, latency, delivery ratio, and throughput in comparison with the existing solutions.  相似文献   
10.
    
Telemedicine is a new area based on the information and communication technology for collecting, storing, organizing, retrieving and exchanging medical information. One of the most important applications of telemedicine is indeed telesurgery in which an efficient telecommunication infrastructure between the surgery room and remote surgeons need to be established. One of the most important issues to be tackled in telesurgery is to find favorable links for routing as well as providing high Quality of Service (QoS). In this paper, an efficient model based on the hybridization of Type‐2 Fuzzy System (T2FS) and Cuckoo Optimization Algorithm (COA) over the Software Defined Networks (SDN) is proposed in order to achieve optimal and reliable routes for telesurgery application. Using T2FS, the fitness of the links is determined; then, a COA is conducted over the Constraint Shortest Path (CSP) problem to find the best routes. Delay is considered as a CSP problem which is satisfied by trying to find the paths with minimum cost. Due to the NP‐completeness of the CSP problem, an Enhanced COA (so‐called E‐COA) is proposed and utilized as a metaheuristic solver. To the best of our knowledge, this paper is the first SDN‐based communication model that applies both T2FS and E‐COA for assigning proper costs to the network's links, and solves the consequence CSP problem according to the QoS requirement for telesurgery. The model also recognizes and preserves the second‐best routes in order to keep the reliability for such a critical application. In addition to the simulations, the performance evaluation is also conducted on a real experimental scenario. Many comparisons are carried out between the proposed model and other conventional methods, and the evaluation study shows the superiority of the proposed model on all the three QoS‐related metrics, i.e. average end‐to‐end delay, packet loss ratio and PSNR.  相似文献   
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