发表时间:2016 一些定义: self-configuring networks: FlowVisor: FlowVisor是建立在OpenFlow之上的网络虚拟化工具,它可以将物理网络划分成多个逻辑网络,从而实现虚网划分. 数据中心: 百度百科定义:数据中心是全球协作的特定设备网络,用来在internet网络基础设施上传递.加速.展示.计算.存储数据信息. 维基百科:给出的定义是"数据中心是一整套复杂的设施.它不仅仅包括计算机系统和其它与之配套的设备(例如通信和存储系统),还包含冗余的数据通…

I am using pybrain on my Linuxmint 13 x86_64 PC. As what it is described: PyBrain is a modular Machine Learning Library for Python. Its goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of p…

整理自Andrew Ng的machine learning课程week 4. 目录: 为什么要用神经网络 神经网络的模型表示 1 神经网络的模型表示 2 实例1 实例2 多分类问题 1.为什么要用神经网络 当我们有大量的features时:如$x_1, x_2,x_3.......x_{100}$ 假设我们现在使用一个非线性的模型,多项式最高次为2次,那么对于非线性分类问题而言,如果使用逻辑回归的话: $g(\theta_0+\theta_1x_1+\theta_2x_2+\theta_3x_1…

整理自Andrew Ng的machine learning 课程 week5. 目录: Neural network and classification Cost function Backpropagation (to minimize cost function) Backpropagation in practice Gradient checking Random initialization Assure structure and Train a neural network 前提…

整理自Andrew Ng的machine learning课程week6. 目录: Advice for applying machine learning (Decide what to do next) Debugging a learning algorithm machine learning diagnostic Evaluating a hypothesis Model selection and Train / validation / test set Bias and Vari…

Multi-attention Network for One Shot Learning 2018-05-15 22:35:50  本文的贡献点在于: 1. 表明类别标签信息对 one shot learning 可以提供帮助,并且设计一种方法来挖掘该信息: 2. 提出一种 attention network 来产生 attention maps  for creating the image representation of an exemplar image in novel class…

man 手册关于IP netns的介绍: http://man7.org/linux/man-pages/man8/ip-netns.8.html 一个非常好的介绍,有概念,有操作: http://cizixs.com/2017/02/10/network-virtualization-network-namespace 一: 以下,操作都是根据上边这个文档来的,详细的我推荐去参见原文档! 创建namespace test1,以及一个veth [root@vrouter-ovs ~]# ip n…

将机器学习用到SDN中的综述:研究的问题和挑战 从流量分类.路由优化.服务质量(Qos)/体验质量(QoE)预测.资源管理和安全性的角度,回顾了机器学习算法如何应用于SDN领域. 相关知识 在SDN中应用机器学习是合适的原因: 图形处理单元GPU和张量处理单元TPU等技术为机器学习提供了很好的机会: 集中式SDN控制器具有全局网络视图,能够收集各种网络数据,便于机器学习算法的应用. 基于实时和历史网络数据,机器学习技术可以通过执行数据分析,网络优化和网络服务的自动提供来为SDN控制器提供智能化.…

1. Feedforward and cost function; 2.Regularized cost function: 3.Sigmoid gradient The gradient for the sigmoid function can be computed as: where: 4.Random initialization randInitializeWeights.m function W = randInitializeWeights(L_in, L_out) %RANDIN…

Handwritten digits recognition (0-9) Multi-class Logistic Regression 1. Vectorizing Logistic Regression (1) Vectorizing the cost function (2) Vectorizing the gradient (3) Vectorizing the regularized cost function (4) Vectorizing the regularized gradi…

一.How to construct the dependency? 1.首字母即随机变量名称 2.I->G是更加复杂的模型,但Bayes里不考虑,因为Bayes只是无环图. 3.CPD = conditional probability distribution.图中的每一个点都是一个CPD,这里5个点,就有五个CPD. 二.Chain Rule for Bayesian Neatworks 将整个Bayes网络的所有节点所构成的联合概率(Joint probability)利用链式法则(ch…

这学期一直在跟进 Coursera上的 Machina Learning 公开课, 老师Andrew Ng是coursera的创始人之一,Machine Learning方面的大牛.这门课程对想要了解和初步掌握机器学习的人来说是不二的选择.这门课程涵盖了机器学习的一些基本概念和方法,同时这门课程的编程作业对于掌握这些概念和方法起到了巨大的作用. 课程地址 https://www.coursera.org/learn/machine-learning 笔记主要是简要记录下课程内容,以及MATLAB…

1. Control Plane Latency with SDN Network Hypervisors: The Cost of Virtualization 年份:2016 来源:IEEE NETSOFT 2016 - 2016 IEEE NetSoft Conference and Workshops 基本结构:虚拟机监控程序位于多个虚拟SDN网络和租户控制器之间,其中的虚拟SDN网络位于底层的物理SDN网络基础结构上. NV:网络虚拟化,和SDN结合,可以创建虚拟SDN网络,租户可以通…

Recurrent Neural Network 2016年07月01日  Deep learning  Deep learning 字数:24235   this blog from: http://jxgu.cc/blog/recent-advances-in-RNN.html    References Robert Dionne Neural Network Paper Notes Baisc Improvements 20170326 Learning Simpler Language…

Awesome Courses  Introduction There is a lot of hidden treasure lying within university pages scattered across the internet. This list is an attempt to bring to light those awesome courses which make their high-quality material i.e. assignments, lect…

转:http://www.sigvc.org/bbs/thread-72-1-1.html 一.特征提取Feature Extraction:   SIFT [1] [Demo program][SIFT Library] [VLFeat]   PCA-SIFT [2] [Project]   Affine-SIFT [3] [Project]   SURF [4] [OpenSURF] [Matlab Wrapper]   Affine Covariant Features [5] [Oxfo…

from:http://www.sigvc.org/bbs/thread-72-1-1.html 一.特征提取Feature Extraction:   SIFT [1] [Demo program][SIFT Library] [VLFeat]   PCA-SIFT [2] [Project]   Affine-SIFT [3] [Project]   SURF [4] [OpenSURF] [Matlab Wrapper]   Affine Covariant Features [5] [O…

DEEP LEARNING IS THE FUTURE: Q&A WITH NAVEEN RAO OF NERVANA SYSTEMS CME Group was one of several companies taking part in a $20.5 million funding round for the San Diego startup, Nervana Systems. The company specializes in a biologically inspired for…

概要 在sdn下,控制平面基于网络测量的的数据控制网络,而细粒度的管理得益于细粒度的测量数据.针对sdn环境下的细粒度测量(识别具体应用程序),可以实现对细粒度的流量管控. 设计了识别系统SBAR,对数据流进行测量,识别出具体应用程序并得到它们的网络数据.针对流分类,SBAR以应用程序协议为参照,使用了机器学习的算法. 针对web和加密流量,使用深度包检测检测包的负载以识别应用程序.同时SBAR利用了OpenFlow提供的测量数据识别应用,交换机利用南向接口向控制器传输数据.最后使用GUI对得到…

转自:http://www.asimovinstitute.org/neural-network-zoo/ THE NEURAL NETWORK ZOO POSTED ON SEPTEMBER 14, 2016 BY FJODOR VAN VEEN   With new neural network architectures popping up every now and then, it's hard to keep track of them all. Knowing all the a…

APPLIES TO: Oracle Database - Enterprise Edition - Version 11.2.0.3 to 12.1.0.2 [Release 11.2 to 12.1]Information in this document applies to any platform. PURPOSE The purpose of this note is to illustrate how to change a public hostname, public IP,…

1 Principles of Network Applications 1.1 Application Architectures Client-Server Peer-to-Peer Hybird of C/S and P2P --Skype client-server: find the address of the remote client client-client: direct communication --Instant messaging Similar with Skyp…

What is Open vSwitch? Open vSwitch is a production quality, multilayer virtual switch licensed under the open source Apache 2.0 license.  It is designed to enable massive network automation through programmatic extension, while still supporting stand…

微软近期Open的职位: Software Engineer II The world is moving to cloud computing. Microsoft is betting Windows Azure as our cloud computing platform. Important steps have already been taken to virtualize storage and computing through software, increasing agi…

Convolutional Neural Networks ImageNet Models Architecture Design Activation Functions Visualization Fast Convolution Low-Rank Filter Approximation Low Precision Parameter Pruning Transfer Learning Theory 3D Data Hardware ImageNet Models 2017 CVPR Xc…

一 文章名称:A Survey on Security-Aware Measurement in SDN 发表时间:2018 来源:<Security & Communication Networks>sci 概要:SDN中的安全测量 针对问题:SDN中的安全测量 贡献: SDN中的安全测量技术 SDN的基础架构 安全方面的挑战 时延和带宽的测量技术 SDN的域内域间拓扑测量 列举三个未来研究方向 分类:安全测量的综述 二 文章名称:Detection and Mitigation o…

Jaal: Towards Network Intrusion Detection at ISP Scale 论文来源:CoNext 发表时间:2015 解决问题及所做贡献:Jaal:大规模精细网络入侵检测框架. 相关工作: NIDFS:解决企业级网络入侵系统的可扩展性问题. Network Monitoring, Sampling, Sketching:介绍一些检测方法 分类: 安全,入侵检测,与sketch有关 SDNScore: A Statistical Defense Mechanis…

OpenFlow An open standard to innovative protocols in production networks provides a standardized hook to allow us to run experiments, without requiring vendors(供应商) to expose the internal workings of their network devices The standard communications…

A collection of multiple user credentials each associated with one of multiple different users is obtained at a device, and one or more of the multiple user credentials are verified. A determination is made as to whether access to a resource is permi…

BACKGROUND  1. Field  The embodiments of the disclosure generally relate to computer clusters, and more particularly to systems, methods, and devices for the efficient management of resources of computer clusters.  2. Description of the Related Art …