构建低成本,限制应用程序带宽占用

2019-09-11 16:05栏目:公司领导
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指南:使用 Trickle 限制应用程序带宽占用(1)

有没有遇到过系统中的某个应用程序独占了你所有的网络带宽的情形?如果你有过这样的遭遇,那么你就会感受到Trickle这种带宽调整应用的价值。不管你是一个系统管理员还只是普通Linux用户,都需要学习如何控制应用程序的上下行速度,来确保你的网络带宽不会被某个程序霸占。

ag真人 1

在 Linux 上安装 Trickle 带宽限制

什么是 Trickle?Trickle是一个网络带宽调整工具,可以让我们管理应用程序的网络上下行速度,使得可以避免其中的某个应用程序霸占了全部或大部分可用的带宽。换句话说,Trickle可以让你基于单个应用程序来控制网络流量速率,而不是仅仅针对与单个用户——这是在客户端网络环境中经典的带宽调整情况。

ag真人,Trickle 是如何工作的?另外,trickle 可以帮助我们基于应用来定义优先级,所以当对整个系统进行了全局限制设定,高优先级的应用依然会自动地获取更多的带宽。为了实现这个目标,trickle 对 TCP 连接上的套接字的数据发送、接收设置流量限制。我们必须注意到,除了影响传输速率之外,在这个过程中,trickle任何时候都不会以任何方式来改变其中的数据。

Trickle不能做什么?这么说吧,唯一的限制就是,trickle不支持静态链接的应用程序或者具有SUID或SGID位设置的二进制程序,因为它使用动态链接的方式将其载入到需要调整的进程和其关联的网络套接字之间。 Trickle此时会在这两种软件组件之间扮演代理的角色。

由于trickle并不需要超级用户的权限来运行,所以用户可以设置他们自己的流量限制。可能这并不是你想要的,我们会探索如何使用全局设定来限制系统中的所有用户的流量限制。也即是说,此时系统中的每个用户具有管理各自的流量速率,但是无论如何,都会受到系统管理员给他们设置的总体限制。

在这篇文章中,我们会描述如何通过trickle在linux平台上管理应用程序使用的网络带宽。为了生成所需的流量,在此会在客户端(CentOS 7 server – dev1: 192.168.0.17)上使用 ncftpput 和 ncftpget, 在服务器(Debian Wheezy 7.5 – dev2: 192.168.0.15)上使用vsftpd 来进行演示。 相同的指令也可以在RedHat,Fedora和Ubuntu等系统使用。

前提条件对于 RHEL/CentOS 7/6, 开启EPEL仓库。这些用于企业版 Linux 的额外软件包是一个由Fedora项目维护的高质量、开源的软件仓库,而且百分之百与其衍生产品相兼容,如企业版本Linux和CentOS。 在这个仓库中trickle和ncftp两者都是可用的。

按照如下方式安装ncftp:

# yum update && sudo yum install ncftp [基于 RedHat 的系统]# aptitude update && aptitude install ncftp [基于 Debian 的系统]

在单独的服务器上设置一个FTP服务器。需要注意的是,尽管FTP天生就不安全,但是仍然被广泛应用在安全性无关紧要的文件上传下载中。 在这篇文章中我们使用它来演示trickle的优点,同时它也会在客户端的标准输出流中显示传输速率。我们将是否在其它时间使用它放在一边讨论。

# yum update && yum install vsftpd [基于 RedHat 的系统]# aptitude update && aptitude install vsftpd [基于 Debian 的系统]

现在,在FTP服务器上按照以下方式编辑 /etc/vsftpd/vsftpd.conf 文件。

anonymous_enable=NOlocal_enable=YESchroot_local_user=YESallow_writeable_chroot=YES

在此之后,确保在你的当前会话中启动了vsftpd,并在之后的启动中让其自动启动。

# systemctl start vsftpd [基于 systemd 的系统]# systemctl enable vsftpd# service vsftpd start [基于 init 的系统]# chkconfig vsftpd on

如果你选择在一个使用 SSH 密钥进行远程访问的 CentOS/RHEL 7中搭建FTP服务器,你需要一个密码受保护的用户账户,它能访问root目录之外的某个目录,并有能在其中上传和下载文件的权限。

你可以通过在你的浏览器中输入以下的URL来浏览你的家目录。一个登录窗口会弹出来提示你输入FTP服务器中的有效的用户名和密码。

ftp://192.168.0.15

如果验证成功,你就会看到你的家目录中的内容。该教程的稍后部分中,你将可以刷新页面来显示在你之前上传过的文件。

ag真人 2

FTP 目录树


ag真人 3


Trickle 限制应用程序带宽占用(1) 有没有遇到过系统中的某个应用程序独占了你所有的网络带宽的情形?如果你有过这样的遭遇,...

预告丨2018年值得关注的200场机器学习会议,200场

2017年马上就要过去了,这一年你的收获怎么样?在学习的过程中,独自学习与向别人学习同样重要,其中通过各种会议了解AI行业研究成果是个不错的提高自己的方法。对于专注于机器学习的伙伴来说,2018年有哪些值得关注的会议呢?以下内容来源于Alex Kistenev的总结,建议收藏!

 

按国家总计,这两百场会议中,有80场在美国举办,29场在英国举办,12场在加拿大举办,并且大部分会议在北美举办。

 

按城市总计,这两百场会议中,有28场在伦敦举办,20场在旧金山举办,10场在纽约举办。

 

以下大会列表按照举办时间列出。

 

一月

11–13 Jan, Data Science & Management of Data (CoDS-COMAD). Goa, India.

16–18 Jan, International Conference on Agents and Artificial Intelligence (ICAART). Funchal, Madeira, Portugal.

18 Jan, Alternative Data Conference. New York, USA.

17–19 Jan, Global Artificial Intelligence Conference. Santa Clara, USA.

17–19 Jan, AI NEXTCon. Seattle, USA.

18–19 Jan, AI in Healthcare Summit. Boston, USA.

19–21 Jan, International Conference on Control Engineering and Artificial Intelligence (CCEAI). Boracay, Philippines.

23 Jan, Women in Machine Intelligence Dinner. San Francisco, USA.

25 Jan, Beyond Machine’s Deep Learning Bootcamp. Berlin, Germany.

25–26 Jan, AI Assistant Summit San Francisco. San Francisco, USA.

25–26 Jan, Deep Learning Summit San Francisco. San Francisco, USA.

25–26 Jan, Artificial Intelligence & Machine Learning 101. Chicago, USA.

25–26 Jan, AI on a Social Mission Conference. Montreal, Canada.

27 Jan, Data Day Texas. Austin, USA.

27–30 Jan, Applied Machine Learning Days. Lausanne, Switzerland.

28–29 Jan, International conference on Computers, Data Management and Technology Applications (ICCDMTA). Cairo, Egypt.

30–31 Jan, The AI Congress London. London, UK.

31 Jan, Chatbot Summit. Tel Aviv, Israel.

31 Jan — 1 Feb, Age of AI. San Francisco, USA.

31 Jan — 3 Feb, rstudio::conf 2018. San Diego, USA.

 

二月

2–7 Feb, AAAI Conference. New Orleans, USA.

3–8 Feb, Developer Week. San Francisco, USA.

5–6 Feb, Artificial Intelligence Dev Conference at DeveloperWeek. Oakland, USA.

5–6 Feb, Conversational Interaction Conference. San Jose, USA.

5–7 Feb, Applied AI Summit. London, UK.

6–7 Feb, Predictive Analytics Innovation Summit. San Diego, USA.

6–8 Feb, Chief Data & Analytics Officer Winter. Miami, USA.

7–8 Feb, Big Data & Analytics Summit Canada. Toronto, Canada.

8 Feb, AI Evolution. New York, NY, USA.

8–9 Feb, DataScience Salon Miami. Miami, USA.

14–17 Feb, International Research Conference Robophilosophy. Vienna, Austria.

20 Feb, Women in AI Dinner London. London, UK.

22 Feb, Bottish. Online.

22 Feb, AI Inside Summit. Vienna, Austria.

26–28 Feb, International Conference on Machine Learning and Computing (ICMLC). Macau, China.

27 Feb, AI 4 Business. Lint, Belgium.

27–28 Feb, Gartner Data & Analytics Summit. Sydney, Australia.

 

三月

5–6 Mar, European Artificial Intelligence Innovation Summit. London, UK.

5–8 Mar,ACM/IEEE International Conference on Human Robot Interaction (HRI). Chicago, USA.

5–8 Mar, O’Reilly Strata Data Conference. San Jose, USA.

5–8 Mar, Gartner Data & Analytics Summit. Grapevine, USA.

7–8 Mar, Big Data & Analytics Innovation Summit. Singapore.

7–8 Mar, AI and Sentiment Analysis in Finance. Hong Kong.

7–11 Mar, ACM IUI. Tokyo, Japan.

8 Mar, The Conversational Interface Conference. London, UK

12–14 Mar, Winter Conference on Applications of Computer Vision (WACV). Lake Tahoe, USA.

13–14 Mar, Sentiment Analysis Bangalore 2018. Bangalore, India.

15–16 Mar, AI Assistant Summit London. London, UK.

15–16 Mar, Deep Learning in Retail & Advertising Summit London. London, UK.

15–16 Mar, Big Data & Analytics Innovation Summit. Melbourne, Australia.

15–16 Mar, Artificial Intelligence & Machine Learning 101. Boston, USA.

18–21 Mar, Shoptalk. Las Vegas, USA.

19–21 Mar, Gartner Data & Analytics Summit. London, UK.

19–22 Mar, IBM Think. Las Vegas, USA.

20 Mar, The AI Customer Summit. London, UK.

20–21 Mar, AI & Robotics: Compliance, Liability & Risk Management. San Francisco, USA.

20–22 Mar, Analytics and Data Summit. Redwood Shores, USA.

22 Mar, Data Innovation Summit. Stockholm, Sweden.

22 Mar, Innovation Summit 2018 America. Chicago, USA.

22 Mar, AI & Robotics Director’s Forum. London, UK.

23–25 Mar, Machine Learning Prague 2018. Prague, Czech Republic.

26–29 Mar, GPU Technology Conference. Silicon Valley, USA.

26–27 Mar, EmTech Digital 2018. San Francisco, USA.

29–31 Mar, International Conference on Advanced Computational Intelligence (ICACI). Xiamen, China.

 

四月

5–6 Apr,  Future of Information and Communication Conference (FICC). Singapore.

8–11 Apr, AnacondaCON 2018. Austin, TX, USA.

9–11 Apr,  International Conference on Artificial Intelligence and Statistics (AISTATS). Lanzarote, Canary Islands.

9–11 Apr, SpeechTEK. Washington, USA.

10–13 Apr, O’Reilly Artificial Intelligence Conference Beijing. Beijing, China

12 Apr, Applied Artificial Intelligence Conference. San Francisco, USA.

12 Apr, AI World Forum. San Francisco, USA.

15–20 Apr,  ICASSP 2018. Calgary, Canada.

16–17 Apr, Artificial Intelligence. Las Vegas, USA.

16–17 Apr, Automation and Robotics. Las Vegas, USA.

17–19 Apr, Monage. Mountain View, USA.

18–19 Apr, AI Expo Global. London, UK.

18–19 Apr, Big Data & Analytics Innovation Summit. Hong Kong.

19 Apr, AI Conference Moscow. Moscow, Russia.

19–20 Apr, Big Data Innovation Summit. San Francisco, USA.

22–27 Apr, Enterprise Data World (EDW). San Diego, USA.

23–25 Apr, RPA & AI Summit. Copenhagen, Denmark.

23–27 Apr, The Web Conference. Lyon, France.

24–28 Apr, IEEE International Conference on Soft Robotics (RoboSoft). Livorno, Italy.

25–27 Apr, European Symposium on Artificial Neural Networks. Bruges, Belgium.

26–27 Apr, Big Data & AI Leaders Summit. Sydney, Australia.

29 Apr — 2 May, O’Reilly Artificial Intelligence Conference New York. New York, USA.

30 Apr — 3 May,  International Conference on Learning Representations (ICLR). Vancouver, Canada.

30 Apr — 3 May, TalkRobot. New Orleans, USA.

 

五月

1–2 May, F8 — Facebook Developer Conference. San Diego, USA.

1–4 May, Accelerate AI: Open Data Science Conference East. Boston, USA

3–4 May, AI Congress Vegas. Las Vegas, USA.

3–4 May, The Data Science Conference. Chicago, USA.

3–5 May, SIAM International Conference on Data Mining (SDM18). San Diego, USA.

8 May, Prepare.ai Conference. St. Lous, USA.

9–10 May, Train AI. San Francisco, USA.

9–10 May, Machine Learning Innovation Summit. San Francisco, USA.

15–17 May, Business of Bots 2018. San Francisco, USA.

16–18 May, Colombian Conference on Applications in Computational Intelligence (ColCACI). Medellin, Columbia.

16–19 May, IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR). Brisbane, Australia.

17 May, Rise of AI Conference 2018. Berlin, Germany.

20–24 May, Data Disrupt. New York, USA.

21–25 May, The International Conference on Robotics and Automation (ICRA). Brisbane, Australia.

21–24 May, O’Reilly Strata Data Conference London. London, UK.

21–24 May, Chief Analytics Officer — Spring. San Francisco, USA.

22–23 May, Gartner Data & Analytics Summit. São Paulo, Brazil.

23–24 May, LDV Vision Summit. New York, USA.

24–25 May, Deep Learning Summit Boston. Boston, USA.

31 May — 1 Jun, dotAI. Paris, France.

 

六月

1–6 Jun, Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). New Orleans, USA.

3–6 Jun,  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Melbourne, Australia.

3–7 Jun, Predictive Analytics World Las Vegas. Las Vegas, USA.

4 Jun, Data Science Salon New York. New York, USA.

5–6 Jun, Gartner Data & Analytics Summit. Mumbai, India.

6–7 Jun, Machine Intelligence Summit Hong Kong. Hong Kong.

11–12 Jun, CogX London 2018: Festival of All Things AI. London, UK.

12–13 Jun, AI Toronto. Toronto, Canada.

12–13 Jun, Predictive analytics World Industry 4.0. Munich, Germany.

12–14 Jun, AI Summit London. London, UK.

14–15 Jun, AI & Machine Learning for Clinical Trial and R&D Advancements. Philadelphia, USA.

14–15 Jun, Gartner Data & Analytics Summit. Tokyo, Japan.

14–19 Jun, International Conference on Machine Learning and Data Mining (MLDM). New York, USA.

18–23 Jun, CVPR 2018. Salt Lake City, USA.

20–21 Jun, Conference on Big Data Analysis and Data Mining. Rome, Italy.

20–22 Jun, Distributed Computing and Artificial Intelligence (DCAI). Toledo, Spain.

24–29 Jun,  International Conference on Automated Planning and Scheduling (ICAPS). Delft, The Netherlands.

25–28 Jun, International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE). Montreal, Canada.

26–29 Jun, International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR). Delft, The Netherlands.

26–30 Jun, Robotics: Science and Systems (RSS). Pittsburgh, USA.

27–28 Jun, AI, Machine Learning and Sentiment Analysis Applied to Finance. London, UK.

28 Jun, AI for CxOs Dinner San Francisco. San Francisco, USA.

29 Jun, The 4th Research and Applied AI Summit. London, UK.

TBA Jun, ML Conference. Munich, Germany.

 

七月

1 Jul, AI+Talk at SVIEF. Santa Clara, USA.

5–8 Jul,  The Conference on Human Computation and Crowdsourcing (HCOMP). Zurich, Switzerland.

5–9 Jul, COLT 2018. Stockholm, Sweden.

8–12 Jul, Conference on Research and Development in Information Retrieval (SIGIR). Detroit, USA.

9–11 Jul, Applied AI Summit. London, UK.

10–11 Jul, Mobile Beat. San Francisco, USA.

10–12 Jul, Computing Conference. London, UK.

10–15 Jul, International Conference on Machine Learning (ICML). Stockholm, Sweden.

10–15 Jul, International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Stockholm, Sweden.

11–15 Jul,  Industrial Conference on Data Mining (ICDM). New York, USA.

13–19 Jul,  International Joint Conference on Artificial Intelligence and the European Conference on Artificial Intelligence (IJCAI-ECAI). Stockholm, Sweden.

14–19 Jul,  International Conference on Machine Learning and Data Mining (MLDM). New York, USA.

15–20 Jul,  Annual Meeting of the Association for Computational Linguistics (ACL). Melbourne, Australia.

19–21 Jul, Multimedia & Artificial Intelligence. Rome, Italy.

23–24 Jul, International Conference on Data Mining (ICDM). Istanbul, Turkey.

31 Jul — 1 Aug, AI Summit Hong Kong. Hong Kong.

TBA Jul, Anthill Inside. Bangalore, India.

 

八月

12–16 Aug, SIGGRAPH 2018. Vancouver, Canada.

19–23 Aug,  KDD 2018. London, UK.

20–24 Aug,  IEEE International Conference on Automation Science and Engineering (CASE). Munich, Germany.

20–24 Aug, International Conference on Pattern Recognition (ICPR). Beijing, China.

20–25 Aug, International Conference on Computational Linguistics (COLING). Santa Fe, USA.

21–22 Aug, Artificial Intelligence, Robotics & IoT. Paris, France.

30–31 Aug, Computer science, Machine Learning and Big data analytics conference. Dubai, UAE.

 

九月

2–6 Sep,  Interspeech 2018. Hyderabad, India.

3–6 Sep,  British Machine Vision Conference (BMVC). Newcastle upon Tyne, UK.

4–7 Sep, O’Reilly Artificial Intelligence Conference San Francisco. San Francisco, USA.

6–7 Sep, Intelligent Systems Conference (IntelliSys). London, UK.

8–14 Sep, European Conference of Computer Vision (ECCV). Munich, Germany.

9–12 Sep, International Symposium Advances in Artificial Intelligence and Applications (AAIA). Poznan, Poland.

10–11 Sep, Robots and Deep Learning. Singapore.

11–12 Sep, Big Data Innovation Summit. Boston, USA.

11–14 Sep, O’Reilly Strata Data Conference New York. New York, USA.

17–18 Sep, International Conference on Human-Robot Interaction (ICHRI). Rome, Italy.

17–18 Sep, 2nd Artificial Intelligence Innovation Summit. San Francisco, USA.

18–20 Sept, International Joint Conference on Computational Intelligence (IJCCI). Seville, Spain.

18–20 Sep, AI Summit San Francisco. San Francisco, USA.

19–21 Sep, International Conference on Computer-Human Interaction Research and Applications (CHIRA). Seville, Spain.

20–21 Sep, Deep Learning in Healthcare Summit London. London, UK.

23–25 Sep, Auto AI. Berlin, Germany.

27–29 Sep, IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO). Genova, Italy.

 

十月

1–2 Oct, AI Expo Europe. Amsterdam, The Netherlands.

1–5 Oct, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Madrid, Spain.

3–4 Oct, MACHINA Summit. London, UK.

5 Oct, BCS Machine Intelligence competition. London, UK.

8–11 Oct, O’Reilly Artificial Intelligence Conference London. London, UK.

10–11 Oct, World Summit AI. Amsterdam, The Netherlands.

15–17 Oct, Minds Mastering Machines [m3]. London, UK.

17–18 Oct, Nordic Data Science and Machine Learning Summit. Stockholm, Sweden.

17–18 Oct, Predictive Analytics World London. London, UK.

21–24 Oct, AI Deep Dive at Money 2020. Las Vegas, USA.

22–26 Oct, International Conference on Information and Knowledge Management (CKIM). Turin, Italy.

23 Oct, Women in AI Dinner Toronto. Toronto, Canada.

23–24 Oct, VB Summit. Berkeley, USA.

24–25 Oct, Predictive Analytics Innovation Summit. Chicago, USA.

25–26 Oct, Deep Learning Summit Toronto. Toronto, Canada.

31 Oct — 04 Nov, Open Data Science Conference West. San Francisco, USA.

 

十一月

1–2 Nov, Big Data & Analytics Innovation Summit. London, UK.

5–8 Nov, TalkRobot at Web Summit. Lisbon, Portugal.

13–14 Nov, Predictive Analytics World Berlin. Berlin, Germany.

13–15 Nov, AI Summit Cape Town. Cape Town, South Africa.

14–16 Nov, Big Data Spain. Madrid, Spain.

15–16 Nov, Future Technologies Conference 2018. Vancouver, Canada.

21–22 Nov, Big Data & Analytics Innovation Summit. Beijing, China.

28–29 Nov, AI Expo North America. Santa Clara, USA.

29–30 Nov, AI Expo North America. Santa Clara, USA.

TBA Nov, AI & Robotics Main Event. London, UK.

 

十二月

3–8 Dec, NIPS. Montréal, Canada.

7 Dec, Machine Learning Innovation Summit. Dublin, Ireland.

构建低成本、高效率的IT运维体系的三个步骤

IT运维成本管理

IT运维是企业信息化系统生命周期中最长的部分,有效地对IT运维进行成本管理,能促进企业信息化系统成本压缩的可持续性。IT运维成本管理是指在保障企业信息化系统与业务正常、安全、有效运行的基础上,通过规范IT运维体系提高IT运维效率,从而达到降低IT运维成本的目的。低成本、高效率的IT运维体系可以通过以下3个步骤实现。

(1)合理定位运维目标

企业信息化系统运维目标对其运维成本起着决定性作用,因此合理定位运维目标是控制运维成本的关键。定位IT运维目标需要从公司发展策略和核心技术能力的角度出发,确定运维服务等级,进而确定适度的IT运维投入规模和方式,确保选择最优的运维管理模式。IT运维KPI(关键性能指标)的确定应以用户为中心,不仅包含IT技术性指标,如故障率、故障处理时间、服务质量等,而且应该包含反映用户感知质量的评价指标,这样才能以最小的成本有效保证IT运维的实际效果。

(2)引入ITIL规范化运维

基于ITIL的IT运维管理能优化流程,进而降低企业信息化系统的运维成本。实施ITIL,一方面使IT部门从单一的技术支持向为企业业务发展提供服务的观念转换,使IT部门和业务部门通过直观易懂的IT服务进行沟通,帮助IT部门的相关人员建立服务意识:另一方面,帮助企业利用最佳实践从人员、流程和技术3方面为IT部门提供整体规划建议,在企业提高IT运维管理的效率和降低成本方面起到关键作用。通过ITIL的服务台、事件管理、问题管理、配置管理、变更管理和发布管理等能优化运维管理流程,提高运维效率,从而达到削减企业信息化系统运维成本的目的。同时设立虚拟化IT专家资源池,在很大程度上节省人力成本。建立运维服务流程,通过工具实现流程自动化,在企业内部配备最小数量的必备现场专家,能使人员成本最小化。另外,对于现场专家无法解决的问题。依靠社会化的专家知识资源池,企业为使用的运维服务按需付费,减低企业信息化系统中的固定成本。

(3)强化IT运维标准

在运维成本管理过程中,需要对涉及企业信息化系统的人员、岗位、角色等信息进行标准化定义,促进统一管理。标准化运维流程需要把运维的各种事情(包括人员、资源、突发事故)分成不同级别,使运维操作标准化,以便有效地控制运维成本。另外,建立自助式知识库,为IT运维中的典型故障事件和常见问题解答的处理流程建立标准化的服务档案,从而能节省大量的时间和人力资源成本。


ag真人 4


IT运维成本管理 IT运维是企业信息化系统生命周期中最长的部分,有效地对IT运维进行成本管理...

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