DOCSLIB.ORG

An Interactive Web Based Platform for Modeling and Analysis of Large Scale Argus Network Flow Data

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
An Interactive Web Based Platform for Modeling and Analysis of Large Scale Argus Network Flow Data University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Masters Theses Graduate School 8-2017 InSight2: An Interactive Web Based Platform for Modeling and Analysis of Large Scale Argus Network Flow Data Hansaka Angel Dias Edirisinghe Kodituwakku University of Tennessee, Knoxville, [email protected] Follow this and additional works at: https://trace.tennessee.edu/utk_gradthes Recommended Citation Kodituwakku, Hansaka Angel Dias Edirisinghe, "InSight2: An Interactive Web Based Platform for Modeling and Analysis of Large Scale Argus Network Flow Data. " Master's Thesis, University of Tennessee, 2017. https://trace.tennessee.edu/utk_gradthes/4885 This Thesis is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Masters Theses by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a thesis written by Hansaka Angel Dias Edirisinghe Kodituwakku entitled "InSight2: An Interactive Web Based Platform for Modeling and Analysis of Large Scale Argus Network Flow Data." I have examined the final electronic copy of this thesis for form and content and recommend that it be accepted in partial fulfillment of the equirr ements for the degree of Master of Science, with a major in Computer Engineering. Jens Gregor, Major Professor We have read this thesis and recommend its acceptance: Mark E. Dean, Audris Mockus Accepted for the Council: Dixie L. Thompson Vice Provost and Dean of the Graduate School (Original signatures are on file with official studentecor r ds.) InSight2: An Interactive Web Based Platform for Modeling and Analysis of Large Scale Argus Network Flow Data A Thesis Presented for the Master of Science Degree The University of Tennessee, Knoxville Hansaka Angel Dias Edirisinghe Kodituwakku August 2017 Copyright © 2017 by Hansaka Angel Dias Edirisinghe Kodituwakku All rights reserved. ii In loving memory of Jovi iii ACKNOWLEDGEMENTS I would like to thank my advisor and mentor, Dr. Jens Gregor for his excellent guidance, infallible support and prospective wisdom throughout the course of my Master‟s program, without which I could not have completed this immense task within this time frame. I learned a great deal from his effectiveness in planning and optimizing. His timely decisions saved me a lot of time and enabled me to streamline my workflow to do more in less time. It was an honor and a joy to work with him and I am looking forward to continue working with him in the coming years. I am thankful for Dr. Mark E. Dean and Dr. Audris Mockus for their time in serving in my thesis committee and their guidance during class work. I would like to extend my sincere gratitude to Mr. Greg S. Cole for his unfailing faith in me and giving me the opportunity to be a part of GLORIAD family. He saw my potential more than me and encouraged me to achieve it even though at the time it seemed impossible to me. His visionary ideas inspired me to achieve more and made me realize that there is no limit for one‟s potential. I would like to thank my parents for their incredible love, sacrifice and support they gave for me throughout my life. I would like to thank my mom who stood up for me when the tides were rough. I learned to always do the right thing and that hard work always pays in the end, from her. All my virtues and good characteristics are inherited from her outstanding parenting and shrewdness. I would like to thank my dad who worked hard to support our family and being my hero. His fearless behavior observed over the years primed my ability to face any circumstance head-on. I would like to thank my sister for her never-ending love and being there all the time for me. She is the best sibling anyone would hope for. I would like to thank Fan Zhang for her support and never giving up on me. Her encouragement and appreciation enabled me to work harder and discover new potentials I never knew I had. I would like to thank Michele Norris for treating me as her own family and being there for me all the time. I would like to thank Dana Bryson for helping me out countless times with paperwork amidst her busy work schedule. I would like to thank Saeed, Seena and Mustafa for being my brothers which I never had in my childhood. iv I would like to thank Jovi and Sasha for giving me their unconditional love. Jovi, you left your paw-prints of joy on our hearts and we will never forget you. You are a warrior and you fought through battles life unfairly bestowed upon you. Sasha you are the sweetest and one of a kind. No wonder why you steal everyone‟s hearts! I would also like to thank The University of Tennessee for letting me be a part of the Big Orange to study the cutting edge technology from the best professors in the world via its Masters of Science program. I would like to thank Laurel Residence for being my home away from home half-way across the globe, for all the great memories and for all the amazing friends I made during my stay. The work presented in this thesis was supported by the National Science Foundation under Grant No. IRNC-1450959. Any opinions, findings, and conclusions or recommendations expressed are those of the author and do not necessarily reflect the views of the National Science Foundation. v ABSTRACT Monitoring systems are paramount to the proactive detection and mitigation of problems in computer networks related to performance and security. Degraded performance and compromised end-nodes can cost computer networks downtime, data loss and reputation. InSight2 is a platform that models, analyzes and visualizes large scale Argus network flow data using up-to-date geographical data, organizational information, and emerging threats. It is engineered to meet the needs of network administrators with flexibility and modularity in mind. Scalability is ensured by devising multi-core processing by implementing robust software architecture. Extendibility is achieved by enabling the end user to enrich flow records using additional user provided databases. Deployment is streamlined by providing an automated installation script. State-of-the-art visualizations are devised and presented in a secure, user friendly web interface giving greater insight about the network to the end user. vi TABLE OF CONTENTS 1. Introduction ...................................................................................................... 1 1.1 Motivation: Need for Network Monitoring and Analytics ............................. 1 1.1.1 GLORIAD: A Research and Education Network .................................. 1 1.1.2 Argus Network Flow Data .................................................................... 3 1.1.3 GLORIAD InSight (2013-2014) ............................................................ 4 1.1.4 InSight2 (2017) .................................................................................... 8 1.2 Thesis Outline .......................................................................................... 13 2. Overview of network Monitoring Software ..................................................... 14 2.1 Network Data Capture Techniques .......................................................... 14 2.1.1 Packet Level Data Capture ................................................................ 14 2.1.2 Flow Level Data Capture ................................................................... 16 2.2 Existing Network Monitoring Solutions ..................................................... 21 2.2.1 Performance Monitoring ..................................................................... 21 2.2.2 Security Monitoring ............................................................................ 23 3. Server Configuration ...................................................................................... 24 3.1 Hardware Configuration ........................................................................... 24 3.2 Argus Archives and Other Data Recovery ................................................ 29 3.2.1 Extracting Argus Archives .................................................................. 29 3.2.2 Data Forensics ................................................................................... 30 3.3 Preventive Measures Taken ..................................................................... 32 3.3.1 Contingency Backups ........................................................................ 32 3.3.2 Hardware and Software Setup ........................................................... 34 4. Description and Assessment of GLORIAD InSight ........................................ 39 4.1 Software Architecture ............................................................................... 39 4.2 Description of „Farm of Animals‟ ............................................................... 44 4.3 Global Science Registry ........................................................................... 53 4.4 Assessment .............................................................................................. 56 vii 4.4.1 Software Architecture......................................................................... 56 4.4.2 „Farm of Animals‟ ............................................................................... 59 4.4.3 Global Science Registry (GSR) ......................................................... 60 4.4.4 Hardware Capabilities .......................................................................
Load more

Recommended publications
  • Langages De Script : Les Alternatives Aujourd'hui 1/85 Langages De Script
    LANGAGES DE SCRIPT LES ALTERNATIVES AUJOURD'HUI Jacquelin Charbonnel Journées Mathrice – Dijon – Mars 2011 Version 1.1 Jacquelin Charbonnel – Journées Mathrice, Dijon, mars 2011 Langages de script : les alternatives aujourd'hui 1/85 Langages de script #!/bin/bash ● à l'origine – langage de macro-commandes mkdir /users/alfred usermod -d /users/alfred alfred – huile inter application passwd alfred groupadd theproject usermod -G theproject alfred Jacquelin Charbonnel – Journées Mathrice, Dijon, mars 2011 Langages de script : les alternatives aujourd'hui 2/85 Langages de script #!/bin/bash ● à l'origine login=$1 – langage de macro-commandes group=$2 – huile inter application mkdir /users/$login ● + variables + arguments usermod -d /users/$login $login passwd $login groupadd $group usermod -G $group $login Jacquelin Charbonnel – Journées Mathrice, Dijon, mars 2011 Langages de script : les alternatives aujourd'hui 3/85 Langages de script ● à l'origine – langage de macro-commandes – huile inter application ● + variables + arguments ● + des commandes internes read r Jacquelin Charbonnel – Journées Mathrice, Dijon, mars 2011 Langages de script : les alternatives aujourd'hui 4/85 Langages de script ● à l'origine – langage de macro-commandes – huile inter application ● + variables + arguments ● + des commandes internes ● + des conditions if ! echo "$r"|grep '^[yYoO]' ; then echo "aborted !" ; exit 1 ; fi Jacquelin Charbonnel – Journées Mathrice, Dijon, mars 2011 Langages de script : les alternatives aujourd'hui 5/85 Langages de script ● à l'origine
    [Show full text]
  • [PDF] Beginning Raku
    Beginning Raku Arne Sommer Version 1.00, 22.12.2019 Table of Contents Introduction. 1 The Little Print . 1 Reading Tips . 2 Content . 3 1. About Raku. 5 1.1. Rakudo. 5 1.2. Running Raku in the browser . 6 1.3. REPL. 6 1.4. One Liners . 8 1.5. Running Programs . 9 1.6. Error messages . 9 1.7. use v6. 10 1.8. Documentation . 10 1.9. More Information. 13 1.10. Speed . 13 2. Variables, Operators, Values and Procedures. 15 2.1. Output with say and print . 15 2.2. Variables . 15 2.3. Comments. 17 2.4. Non-destructive operators . 18 2.5. Numerical Operators . 19 2.6. Operator Precedence . 20 2.7. Values . 22 2.8. Variable Names . 24 2.9. constant. 26 2.10. Sigilless variables . 26 2.11. True and False. 27 2.12. // . 29 3. The Type System. 31 3.1. Strong Typing . 31 3.2. ^mro (Method Resolution Order) . 33 3.3. Everything is an Object . 34 3.4. Special Values . 36 3.5. :D (Defined Adverb) . 38 3.6. Type Conversion . 39 3.7. Comparison Operators . 42 4. Control Flow . 47 4.1. Blocks. 47 4.2. Ranges (A Short Introduction). 47 4.3. loop . 48 4.4. for . 49 4.5. Infinite Loops. 53 4.6. while . 53 4.7. until . 54 4.8. repeat while . 55 4.9. repeat until. 55 4.10. Loop Summary . 56 4.11. if . ..
    [Show full text]
  • Web Development and Perl 6 Talk
    Click to add Title 1 “Even though I am in the thralls of Perl 6, I still do all my web development in Perl 5 because the ecology of modules is so mature.” http://blogs.perl.org/users/ken_youens-clark/2016/10/web-development-with-perl-5.html Web development and Perl 6 Bailador BreakDancer Crust Web Web::App::Ballet Web::App::MVC Web::RF Bailador Nov 2016 BreakDancer Mar 2014 Crust Jan 2016 Web May 2016 Web::App::Ballet Jun 2015 Web::App::MVC Mar 2013 Web::RF Nov 2015 “Even though I am in the thralls of Perl 6, I still do all my web development in Perl 5 because the ecology of modules is so mature.” http://blogs.perl.org/users/ken_youens-clark/2016/10/web-development-with-perl-5.html Crust Web Bailador to the rescue Bailador config my %settings; multi sub setting(Str $name) { %settings{$name} } multi sub setting(Pair $pair) { %settings{$pair.key} = $pair.value } setting 'database' => $*TMPDIR.child('dancr.db'); # webscale authentication method setting 'username' => 'admin'; setting 'password' => 'password'; setting 'layout' => 'main'; Bailador DB sub connect_db() { my $dbh = DBIish.connect( 'SQLite', :database(setting('database').Str) ); return $dbh; } sub init_db() { my $db = connect_db; my $schema = slurp 'schema.sql'; $db.do($schema); } Bailador handler get '/' => { my $db = connect_db(); my $sth = $db.prepare( 'select id, title, text from entries order by id desc' ); $sth.execute; layout template 'show_entries.tt', { msg => get_flash(), add_entry_url => uri_for('/add'), entries => $sth.allrows(:array-of-hash) .map({$_<id> => $_}).hash,
    [Show full text]
  • Systemd – Easy As 1, 2, 3
    Systemd – Easy as 1, 2, 3 Ben Breard, RHCA Solutions Architect, Red Hat [email protected] Agenda ● Systemd functionality ● Coming to terms ● Learning the basics ● More advanced topics ● Learning the journal ● Available resources 2 Systemd is more than a SysVinit replacement 3 Systemd is a system and service manager 4 Systemd Overview ● Controls “units” rather than just daemons ● Handles dependency between units. ● Tracks processes with service information ● Services are owned by a cgroup. ● Simple to configure “SLAs” based on CPU, Memory, and IO. ● Properly kill daemons ● Minimal boot times ● Debuggability – no early boot messages are lost ● Easy to learn and backwards compatible. 5 Closer look at Units 6 Systemd - Units ● Naming convention is: name.type ● httpd.service, sshd.socket, or dev-hugepages.mount ● Service – Describe a daemon's type, execution, environment, and how it's monitored. ● Socket – Endpoint for interprocess communication. File, network, or Unix sockets. ● Target – Logical grouping of units. Replacement for runlevels. ● Device – Automatically created by the kernel. Can be provided to services as dependents. ● Mounts, automounts, swap – Monitor the mounting/unmounting of file systems. 7 Systemd – Units Continued ● Snapshots – save the state of units – useful for testing ● Timers – Timer-based activation ● Paths – Uses inotify to monitor a path ● Slices – For resource management. ● system.slice – services started by systemd ● user.slice – user processes ● machine.slice – VMs or containers registered with systemd 8 Systemd – Dependency Resolution ● Example: ● Wait for block device ● Check file system for device ● Mount file system ● nfs-lock.service: ● Requires=rpcbind.service network.target ● After=network.target named.service rpcbind.service ● Before=remote-fs-pre.target 9 That's all great .......but 10 Replace Init scripts!? Are you crazy?! 11 We're not crazy, I promise ● SysVinit had a good run, but leaves a lot to be desired.
    [Show full text]
  • An Introduction to Raku
    Perl6 An Introduction Perl6 Raku An Introduction The nuts and bolts ● Spec tests ○ Complete test suite for the language. ○ Anything that passes the suite is Raku. The nuts and bolts ● Spec tests ○ Complete test suite for the language. ○ Anything that passes the suite is Raku. ● Rakudo ○ Compiler, compiles Raku to be run on a number of target VM’s (92% written in Raku) The nuts and bolts ● Spec tests ○ Complete test suite for the language. ○ Anything that passes the suite is Raku. ● Rakudo ○ Compiler, compiles Raku to be run on a number of target VM’s (92% written in Raku) ● MoarVM ○ Short for "Metamodel On A Runtime" ○ Threaded, garbage collected VM optimised for Raku The nuts and bolts ● Spec tests ○ Complete test suite for the language. ○ Anything that passes the suite is Raku. ● Rakudo ○ Compiler, compiles Raku to be run on a number of target VM’s (92% written in Raku) ● MoarVM ○ Short for "Metamodel On A Runtime" ○ Threaded, garbage collected VM optimised for Raku ● JVM ○ The Java Virtual machine. The nuts and bolts ● Spec tests ○ Complete test suite for the language. ○ Anything that passes the suite is Raku. ● Rakudo ○ Compiler, compiles Raku to be run on a number of target VM’s (92% written in Raku) ● MoarVM ○ Short for "Metamodel On A Runtime" ○ Threaded, garbage collected VM optimised for Raku ● JVM ○ The Java Virtual machine. ● Rakudo JS (Experimental) ○ Compiles your Raku to a Javascript file that can run in a browser Multiple Programming Paradigms What’s your poison? Multiple Programming Paradigms What’s your poison? ● Functional
    [Show full text]
  • Cisco Virtualized Infrastructure Manager Installation Guide, 2.4.9
    Cisco Virtualized Infrastructure Manager Installation Guide, 2.4.9 First Published: 2019-01-09 Last Modified: 2019-05-20 Americas Headquarters Cisco Systems, Inc. 170 West Tasman Drive San Jose, CA 95134-1706 USA http://www.cisco.com Tel: 408 526-4000 800 553-NETS (6387) Fax: 408 527-0883 THE SPECIFICATIONS AND INFORMATION REGARDING THE PRODUCTS IN THIS MANUAL ARE SUBJECT TO CHANGE WITHOUT NOTICE. ALL STATEMENTS, INFORMATION, AND RECOMMENDATIONS IN THIS MANUAL ARE BELIEVED TO BE ACCURATE BUT ARE PRESENTED WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. USERS MUST TAKE FULL RESPONSIBILITY FOR THEIR APPLICATION OF ANY PRODUCTS. THE SOFTWARE LICENSE AND LIMITED WARRANTY FOR THE ACCOMPANYING PRODUCT ARE SET FORTH IN THE INFORMATION PACKET THAT SHIPPED WITH THE PRODUCT AND ARE INCORPORATED HEREIN BY THIS REFERENCE. IF YOU ARE UNABLE TO LOCATE THE SOFTWARE LICENSE OR LIMITED WARRANTY, CONTACT YOUR CISCO REPRESENTATIVE FOR A COPY. The Cisco implementation of TCP header compression is an adaptation of a program developed by the University of California, Berkeley (UCB) as part of UCB's public domain version of the UNIX operating system. All rights reserved. Copyright © 1981, Regents of the University of California. NOTWITHSTANDING ANY OTHER WARRANTY HEREIN, ALL DOCUMENT FILES AND SOFTWARE OF THESE SUPPLIERS ARE PROVIDED “AS IS" WITH ALL FAULTS. CISCO AND THE ABOVE-NAMED SUPPLIERS DISCLAIM ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING, WITHOUT LIMITATION, THOSE OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OR ARISING FROM A COURSE OF DEALING, USAGE, OR TRADE PRACTICE. IN NO EVENT SHALL CISCO OR ITS SUPPLIERS BE LIABLE FOR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, OR INCIDENTAL DAMAGES, INCLUDING, WITHOUT LIMITATION, LOST PROFITS OR LOSS OR DAMAGE TO DATA ARISING OUT OF THE USE OR INABILITY TO USE THIS MANUAL, EVEN IF CISCO OR ITS SUPPLIERS HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
    [Show full text]
  • Hidden Gears of Your Application
    Hidden gears of your application Sergej Kurakin Problem ● Need for quick response ● Need for many updates ● Need for different jobs done ● Need for task to be done as different user on server side ● Near real-time job start ● Load distribution Job Queue ● You put job to queue ● Worker takes the job and makes it done Job Queue using Crons ● Many different implementations ● Perfect for small scale ● Available on many systems/servers ● Crons are limited to running once per minute ● Harder to distribute load Gearman Job Server ● Job Queue ● http://gearman.org/ ● C/C++ ● Multi-language ● Scalable and Fault Tolerant ● Huge message size (up to 4 gig) Gearman Stack Gearman Job Types Normal Job Background Job ● Run Job ● Run Job in ● Return Result Background ● No Return of Result Gearman Parallel Tasks Gearman Supported Languages ● C ● Java ● Perl ● C#/.NET ● NodeJS ● Ruby ● PHP ● Go ● Python ● Lisp Job Priority ● Low ● Normal ● High Gearman Worker Example <?php // Reverse Worker Code $worker = new GearmanWorker(); $worker->addServer(); $worker->addFunction("reverse", function ($job) { return strrev($job->workload()); }); while ($worker->work()); Gearman Client Example <?php // Reverse Client Code $client = new GearmanClient(); $client->addServer(); print $client->do("reverse", "Hello World!"); Gearman Client Example <?php // Reverse Client Code $client = new GearmanClient(); $client->addServer(); $client->doBackground("reverse", "Hello World!"); Running Worker in Background ● CLI ● screen / tmux ● supervisord - http://supervisord.org/ ● daemontools
    [Show full text]
  • How the Camel Is De-Cocooning (YAPCNA)
    How the Camel! is de-cocooning Elizabeth Mattijsen! YAPC::NA, 23 June 2014 The Inspiration coccoon? Perl 5 Recap: 2000 - 2010 • 2000 - Perl 5.6 • 2002 - Perl 5.8 • 2007 - Perl 5.10 • 2010 - Perl 5.12 + yearly release • The lean years have passed! Perl 6 Recap: 2000 - 2010 • Camel Herders Meeting / Request for Comments • Apocalypses, Exegeses, Synopses • Parrot as a VM for everybody • Pugs (on Haskell) / Perl 6 test-suite • Rakudo (on Parrot) / Niecza (on mono/.NET) • Nothing “Production Ready” The 0’s - Cocooning Years • Perl was busy with itself • Redefining itself • Re-inventing itself • What is Perl ? • These years have passed! Not your normal de-cocooning Perl 5 and Perl 6 will co-exist for a long time to come! Perl 5 in the 10’s • A new release every year! • Many optimisations,5.20 internalis codeout! cleanup! ! • Perl 6-like features: say, state, given/when, ~~, //, …, packageGo {}, lexical getsubs, sub signaturesit! • Perl 6-like Modules: Moose / Moo / Mouse, Method::Signatures,and Promisesuse it! • and a Monthly development release Perl 6 in the 10’s • Niecza more feature-complete, initially • Not Quite Perl (NQP) developed and stand-alone • 6model on NQP with multiple backends • MoarVM - a Virtual Machine for Perl 6 • Rakudo runs on Parrot, JVM, MoarVM • also a Monthly development release Co-existence? Yes! But Perl 6 will become larger and be more future proof! Cool Perl 6 features in Perl 5 • say • yada yada yada (…) • state variables • defined-or (//)! • lexical subs • subroutine signatures • OK as long as it doesn’t involve types print "Foo\n"; Foo ! say "Foo"; Foo print "Foo\n"; !Foo say "Foo"; Foo print "Foo\n"; Foo ! say "Foo"; Foo print "Foo\n"; Foo ! say "Foo"; Foo sub a { ..
    [Show full text]
  • VSI's Open Source Strategy
    VSI's Open Source Strategy Plans and schemes for Open Source so9ware on OpenVMS Bre% Cameron / Camiel Vanderhoeven April 2016 AGENDA • Programming languages • Cloud • Integraon technologies • UNIX compability • Databases • Analy;cs • Web • Add-ons • Libraries/u;li;es • Other consideraons • SoDware development • Summary/conclusions tools • Quesons Programming languages • Scrip;ng languages – Lua – Perl (probably in reasonable shape) – Tcl – Python – Ruby – PHP – JavaScript (Node.js and friends) – Also need to consider tools and packages commonly used with these languages • Interpreted languages – Scala (JVM) – Clojure (JVM) – Erlang (poten;ally a good fit with OpenVMS; can get good support from ESL) – All the above are seeing increased adop;on 3 Programming languages • Compiled languages – Go (seeing rapid adop;on) – Rust (relavely new) – Apple Swi • Prerequisites (not all are required in all cases) – LLVM backend – Tweaks to OpenVMS C and C++ compilers – Support for latest language standards (C++) – Support for some GNU C/C++ extensions – Updates to OpenVMS C RTL and threads library 4 Programming languages 1. JavaScript 2. Java 3. PHP 4. Python 5. C# 6. C++ 7. Ruby 8. CSS 9. C 10. Objective-C 11. Perl 12. Shell 13. R 14. Scala 15. Go 16. Haskell 17. Matlab 18. Swift 19. Clojure 20. Groovy 21. Visual Basic 5 See h%p://redmonk.com/sogrady/2015/07/01/language-rankings-6-15/ Programming languages Growing programming languages, June 2015 Steve O’Grady published another edi;on of his great popularity study on programming languages: RedMonk Programming Language Rankings: June 2015. As usual, it is a very valuable piece. There are many take-away from this research.
    [Show full text]
  • Technical Update & Roadmap
    18/05/2018 VMS Software Inc. (VSI) Technical Update & Roadmap May 2018 Brett Cameron Agenda ▸ What we've done to date ▸ Product roadmap ▸ TCP/IP update ▸ Upcoming new products ▸ Support roadmap ▸ Storage ▸ x86 update, roadmap, and licensing ▸ x86 servers ▸ ISV programme ▸ Other stuff 1 18/05/2018 WhatDivider we’ve with done to date OpenVMS releases to date 3 OpenVMS I64 releases: Plus … Two OpenVMS Alpha Japanese version • V8.4-1H1 – Bolton releases: • DECforms V4.2 • – June 2015 V8.4-2L1 – February • DCPS V2.8 2017 • V8.4-2 - Maynard • FMS V2.6 • Standard OpenVMS – March 2016 • DECwindows Motif V1.7E release (Hudson) • V8.4-2L1 – Hudson • V8.4-2L2 - April 2017 – August 2016 • Performance build, EV6/EV7 (Felton) 2 18/05/2018 Products introduced from 2015 to date Technical achievements to date 65 Layered Product Releases 12 Open Source Releases OpenVMS Releases 4 VSI OpenVMS Statistics 515 VSI Defect Repairs 179 New Features Since V7.3-2 0 100 200 300 400 500 600 3 18/05/2018 Defect repairs 515 Total Defect Repairs 343 Source - Internal BZ VSI - Defect Repairs 118 Source - External BZ 54 Source - Quix 0 100 200 300 400 500 600 Testing hours Test Hours Per VSI OpenVMS Version TKSBRY IA64 V8.4-2L1 Test Hours V8.4-2 V8.4-1H1 0 20000 40000 60000 80000 100000 120000 140000 4 18/05/2018 ProductDivider roadmap with OpenVMS Integrity operating environment Released Planned BOE Components: • NOTARY V1.0 BOE Components: • • V8.4-2L1 operating system OpenSSL V1.02n • CSWS additional modules • • ANT V1.7-1B Perl V5.20-2A • PHP additional modules •
    [Show full text]
  • Portal-Plataforma De Cultura Musical" Enero 2016 Óscar Cuevas Lanchares
    PFC "PORTAL-PLATAFORMA DE CULTURA MUSICAL" ENERO 2016 ÓSCAR CUEVAS LANCHARES Departamento de Informática PROYECTO FIN DE CARRERA PORTAL-PLATAFORMA DE CULTURA MUSICAL Autor: ÓSCAR CUEVAS LANCHARES Tutor: JESÚS HERNANDO CORROCHANO Leganés, Enero de 2016 PFC "PORTAL-PLATAFORMA DE CULTURA MUSICAL" ENERO 2016 ÓSCAR CUEVAS LANCHARES Título: PORTAL-PLATAFORMA DE CULTURA MUSICAL Autor: Óscar Cuevas Lanchares Director: EL TRIBUNAL Presidente: Vocal: Secretario: Realizado el acto de defensa y lectura del Proyecto Fin de Carrera el día __ de _______ de 20__ en Leganés, en la Escuela Politécnica Superior de la Universidad Carlos III de Madrid, acuerda otorgarle la CALIFICACIÓN de VOCAL SECRETARIO PRESIDENTE PFC "PORTAL-PLATAFORMA DE CULTURA MUSICAL" ENERO 2016 ÓSCAR CUEVAS LANCHARES ÍNDICE PÁG. AGRADECIMIENTOS 1 RESUMEN 2 PALABRAS CLAVE 3 ABSTRACT 4 ESTRUCTURA DE LA MEMORIA 5 GLOSARIO DE TÉRMINOS 6 CAPÍTULO 1: MOTIVACIÓN Y OBJETIVOS 8 1.1 MOTIVACIÓN 8 1.2 OBJETIVOS 8 1.3 QUÉ SE ESPERA DE ESTE PROYECTO 9 1.4 MEDIOS EMPLEADOS 10 CAPÍTULO 2: ESTADO DEL ARTE 12 2.1 TECNOLOGÍA 12 2.1.1 J2EE 13 2.1.2 PHP 15 2.1.3 .NET 16 2.1.4 COMPUTACIÓN EN LA NUBE (CLOUD COMPUTING) 18 2.1.5 BLUEMIX 21 2.1.6 DOCKER 21 2.1.7 BASES DE DATOS NO-SQL 21 2.1.8 BIG DATA 23 2.1.9 VERTX 25 2.1.10 NODE.JS 25 2.1.11 JAVASCRIPT 26 2.1.12 SOAP 26 2.1.13 API REST 27 2.1.14 BOOTSTRAP 30 2.1.15 JSF 30 2.1.16 JPA 32 2.2 METODOLOGÍA 32 2.2.1 METODOLOGÍA EN CASCADA 33 2.2.2 METODOLOGÍA EN V 34 2.2.3 METODOLOGÍA EN ESPIRAL 35 2.2.4 METODOLOGÍA TRADICIONAL 36 2.2.5 METODOLOGÍA ÁGIL 37 2.3.
    [Show full text]
  • Continuous Integration with Jenkins
    Automated Deployment … of Debian & Ubuntu Michael Prokop About Me Debian Developer Project lead of Grml.org ounder of Grml-Forensic.org #nvolved in A#$ initramf"-tools$ etc. Member in Debian orensic Team Author of &ook $$Open Source Projektmanagement) #T *on"ultant Disclaimer" Deployment focuses on Linux (everal tools mentioned$ but there exist even more :. We'll cover some sections in more detail than others %here's no one-size-fits-all solution – identify what works for you Sy"tems Management Provisioning 4 Documentation &oot"trapping #nfrastructure 'rche"tration 4 Development Dev'ps Automation 6isualization/Trends *onfiguration 4Metric" + Logs Management Monitoring + *loud Service Updates Deployment Systems Management Remote Acce"" ipmi, HP i+'$ IBM RSA,... irm3are Management 9Vendor Tools Provisioning / Bootstrapping :ully) A(utomatic) I(n"tallation) Debian, Ubuntu$ Cent'( + Scientific +inu, http://fai-project.org/ ;uju Ubuntu <Charms= https-44juju.ubuntu.com/ grml-debootstrap netscript=http://example.org/net"cript.sh http-44grml.org4 d-i preseeding auto url>http-44debian.org/releases4\ "queeze/example-preseed.txt http-443iki.debian.org/DebianInstaller/Preseed Kickstart Cobbler Foreman AutoYa(%$ openQRM, (pace3alk,... Orche"tration / Automation Fabric (Python) % cat fabfile.py from fabric.api import run def host_type(): run('uname -s') % fab -H host1, host2,host3 host_type Capistrano (Ruby) % cat Capfile role :hosts, "host1", "host2", "host3" task :host_type, :roles => :hosts do run "uname -s" end % cap host_type 7undeck apt-dater % cat .config/apt-dater/hosts.conf [example.org] [email protected];mika@ mail.example.org;... *ontrolTier, Func$ MCollective$... *luster((8$ dsh, TakTuk,... *obbler$ Foreman$ openQRM, Spacewalk,... *onfiguration Management Puppet Environment" :production4"taging/development.
    [Show full text]