排序方式: 共有125条查询结果,搜索用时 656 毫秒
1.
随着交换技术的飞速发展,程控交换软件的规模越来越大,改动也越来越频繁,如何使代码对数据的改动具有相对的稳定性成为程控软件设计的一个首要问题。本文以CCS7(7号公共信道信令)为例,从对象模型、动态模型、功能模型3个方面阐述了OO(面向对象)方法在CCS7软件设计中的应用。这一方法,也可应用于程控软件的设计。 相似文献
2.
3.
4.
智能网与宽带综合业务数字网1995年国际学术研讨会在京举行由北京邮电大学交换技术与通信网国家重点实验室和中国通信学会联合主办的“智能网与宽带综合业务数字网1995年国际学术研讨会”于4月10日-12日在北京召开。邮电部副部长林金泉出席会议并讲话。中国... 相似文献
5.
6.
未来自管理互联网的结构和机制 总被引:1,自引:1,他引:0
文章介绍了由欧盟第七框架(FP7)项目EFIPSANS提出的具有自治属性的未来自管理互联网的结构和机制。该结构将网络的功能分成决策、分发、发现及数据等4个平面。位于不同平面的决策单元和被管理实体及其他信息收集实体组成协议层、功能层、节点层及网络层等4个层次的控制环。决策单元及其相关的控制环和被管理的实体实现了网络对自身的管理和维护,大大减少用户和管理员对网络的干预,从而降低网络的运营成本,提高终端用户的体验。目前欧洲电信标准组织(ETSI)成立了一个新的工业标准研究组,正在进行自管理互联网相关的标准化工作。 相似文献
7.
8.
9.
By decoupling control plane and data plane,Software-Defined Networking(SDN) approach simplifies network management and speeds up network innovations.These benefits have led not only to prototypes,but also real SDN deployments.For wide-area SDN deployments,multiple controllers are often required,and the placement of these controllers becomes a particularly important task in the SDN context.This paper studies the problem of placing controllers in SDNs,so as to maximize the reliability of SDN control networks.We present a novel metric,called expected percentage of control path loss,to characterize the reliability of SDN control networks.We formulate the reliability-aware control placement problem,prove its NP-hardness,and examine several placement algorithms that can solve this problem.Through extensive simulations using real topologies,we show how the number of controllers and their placement influence the reliability of SDN control networks.Besides,we also found that,through strategic controller placement,the reliability of SDN control networks can be significantly improved without introducing unacceptable switch-to-controller latencies. 相似文献
10.
In IaaS Cloud,different mapping relationships between virtual machines(VMs) and physical machines(PMs) cause different resource utilization,so how to place VMs on PMs to reduce energy consumption is becoming one of the major concerns for cloud providers.The existing VM scheduling schemes propose optimize PMs or network resources utilization,but few of them attempt to improve the energy efficiency of these two kinds of resources simultaneously.This paper proposes a VM scheduling scheme meeting multiple resource constraints,such as the physical server size(CPU,memory,storage,bandwidth,etc.) and network link capacity to reduce both the numbers of active PMs and network elements so as to finally reduce energy consumption.Since VM scheduling problem is abstracted as a combination of bin packing problem and quadratic assignment problem,which is also known as a classic combinatorial optimization and NP-hard problem.Accordingly,we design a twostage heuristic algorithm to solve the issue,and the simulations show that our solution outperforms the existing PM- or network-only optimization solutions. 相似文献