DISSECTING VIDEO SERVER SELECTION STRATEGIES IN THE CDN [ICDCS 2011]
|
|
|
- Kelly Shanna Clarke
- 8 years ago
- Views:
Transcription
1 DISSECTING VIDEO SERVER SELECTION STRATEGIES IN THE CDN [ICDCS 2011] Alessandro Finamore Marco Mellia Maurizio Munafò Ruben Torres Sanjay Rao 2nd TMA PhD School
2 Objectives 1 YouTube is the most popular video download system on the Internet More than 13 million hours of video were uploaded during hours of video are uploaded every minute ISP1 YouTube CDN ISP2 We focus on the YouTube CDN after the Google acquisition: 1. Which factors affect the data center selection strategy? 2. How these factors affect the user QoE? Data Center
3 Time YouTube ABC 2 User browser Local DNS Authoritative YouTube DNS Load home page & Search for a video Give me videoid v6.lscache4.c.youtube.com YouTube web server videoid : video unique identifier v6.lscache4.c.youtube.com: Video server name responsible for videoid v6.lscache4.c.youtube.com Give me videoid Video download Local DNS Videos server Authoritative YouTube DNS
4 Time YouTube ABC 2 User browser Load home page & Search for a video Local DNS The video download is more complex than a single query/answer interaction Authoritative YouTube DNS YouTube web server videoid : video unique identifier Each download involves o Video Give Server me videoidwhere are located? v6.lscache4.c.youtube.com o DNS How the server name are translated? Each download is performed in Local one DNS or multiple flows v6.lscache4.c.youtube.com o Need Authoritative to aggregate all the flows related to the same YouTube DNS download Give me videoid Video download v6.lscache4.c.youtube.com: Video server name responsible for videoid Videos server
5 Datasets 3 Traffic classification using DPI to inspect the HTTP messages Statistics for both per-flow (#bytes, #pkts...) and per-video (video duration, video bytes, resolution...) Week-long syncronous collections (September 2010) 5 probes spread in 2 continents (Europe and US) 3 access technologies (ADSL, Fiber-To-The-Home, Ethernet) different users (operational and campus network)
6 Methodology 4 Geolocalization of the video server using CBG [ToN 2007] Aggregating IPs in /24 Definition of video sessions, aggregating flows Downloading the same video Interleaved by less than T sec Small values of T better capture system actions High values of T better capture user actions
7 Preferred Data Center 5 All the PoP are served by a preferred data center which is close to the users Squares correspond to different DCs contacted preferred DC
8 Preferred Data Center 5 All the PoP are served by a preferred data center which is close to the users Squares correspond to different DCs contacted preferred DC EU2-ADSL has video servers inside the PoP but they cannot process all the requests
9 6 Application-Layer redirections in Flash Crowd scenario Considering a very popular video (>1000 download) in EU1-ADSL dataset Most of the requests are in a single day (possibly is the video of the day ) The requests hit the preferred DC first, possibly overloading it
10 Application-Layer Redirections 7 Redirections affect more than 10% of the download
11 Impact of Application-Layer Redirections on QoE 8 We define the Startup latency time between the first video request and the first video pkt In this metric is NOT captured the initial buffering! The higher is the number of redirections, the longer is the delay
12 Conclusions 9 We have dissected the redirection mechanisms in YouTube: Most requests are served by the preferred DC Some requests go to a non-preferred DC: Load balancing DNS server queried Flash crowds due to popular video User performance can be impacted by the YouTube infrastructure decision More information in Dissecting Video Server Selection Strategies in the YouTube CDN [ICDCS 2011] YouTube Everywhere: Impact of Device and Infrastructure Synergies on User Experience [submitted to IMC 2011]
Politecnico di Torino. Porto Institutional Repository
Politecnico di Torino Porto Institutional Repository [Proceeding] Dissecting Video Server Selection Strategies in the YouTube CDN Original Citation: Ruben Torres,Alessandro Finamore,Jin Ryong Kim,Marco
YouTube Everywhere: Impact of Device and Infrastructure Synergies on User Experience
Purdue University Purdue e-pubs ECE Technical Reports Electrical and Computer Engineering 5-2-2 YouTube Everywhere: Impact of Device and Infrastructure Synergies on User Experience A. Finamore Politecnico
YouTube Everywhere: Impact of Device and Infrastructure Synergies on User Experience
YouTube Everywhere: Impact of Device and Infrastructure Synergies on User Experience Alessandro Finamore Politecnico di Torino finamore@tlc.polito.it Ruben Torres Purdue University rtorresg@purdue.edu
Experimentation with the YouTube Content Delivery Network (CDN)
Experimentation with the YouTube Content Delivery Network (CDN) Siddharth Rao Department of Computer Science Aalto University, Finland siddharth.rao@aalto.fi Sami Karvonen Department of Computer Science
Uncovering the Big Players of the Web
Uncovering the Big Players of the Web 3 rd TMA Workshop Vienna March 12 Vinicius Gehlen Alessandro Finamore Marco Mellia Maurizio M. Munafò TMA COST Action Introduction 2 Nowadays Internet traffic volume
Analysing the impact of CDN based service delivery on traffic engineering
Analysing the impact of CDN based service delivery on traffic engineering Gerd Windisch Chair for Communication Networks Technische Universität Chemnitz Gerd Windisch - Chair for Communication Networks
Analysis of YouTube User Experience from Passive Measurements
Analysis of YouTube User Experience from Passive Measurements Giorgos Dimopoulos Pere Barlet-Ros Josep Sanjuàs-Cuxart Department of Computer Architecture UPC, Barcelonatech {gd, pbarlet, jsanjuas}@ac.upc.edu
How To Write A Blog Post On Dropbox
Inside Dropbox: Understanding Personal Cloud Storage Services Idilio Drago Marco Mellia Maurizio M. Munafò Anna Sperotto Ramin Sadre Aiko Pras IMC 2012 Boston Motivation and goals 1/14 Personal cloud storage
Inside Dropbox: Understanding Personal Cloud Storage Services
Inside Dropbox: Understanding Personal Cloud Storage Services Idilio Drago Marco Mellia Maurizio M. Munafò Anna Sperotto Ramin Sadre Aiko Pras IRTF Vancouver Motivation and goals 1 Personal cloud storage
Analyzing the Impact of YouTube Delivery Policies on User Experience
Analyzing the Impact of YouTube Delivery Policies on User Experience Louis Plissonneau Orange Labs France louis.plissonneau@orange.com Ernst Biersack Eurecom France erbi@eurecom.fr Parikshit Juluri University
ABSTRACT Acknowledgments List of Abbreviations Contents ABSTRACT 3 Acknowledgments 5 List of Abbreviations 7 List of Figures 15 List of Tables 23 1 Introduction 25 2 Motivation and background 29 3 Overview
Where Do You Tube? Uncovering YouTube Server Selection Strategy
Where Do You Tube? Uncovering YouTube Server Selection Strategy Vijay Kumar Adhikari, Sourabh Jain, Zhi-Li Zhang University of Minnesota- Twin Cities Abstract YouTube is one of the most popular video sharing
The Need for an Intelligent Measurement Plane: the Example of Time-Variant CDN Policies
The Need for an Intelligent Measurement Plane: the Example of Time-Variant CDN Policies A. Finamore, V. Gehlen, M. Mellia, M. M. Munafò Politecnico di Torino, Italy Email: lastname@tlc.polito.it S. Nicolini
A Tale of Three CDNs: An Active Measurement Study of Hulu and Its CDNs
A Tale of Three CDNs: An Active Measurement Study of Hulu and Its CDNs Vijay Kumar Adhikari, Yang Guo, Fang Hao, Volker Hilt and Zhi-Li Zhang University of Minnesota, Bell-Labs/Alcatel-Lucent Abstract
Measuring YouTube Quality of Experience for Users in Residential ISPs*
Measuring YouTube Quality of Experience for Users in Residential ISPs* Deep Medhi dmedhi@umkc.edu University of Missouri Kansas City February 2013 *Joint work with Parikshit Juluri (UMKC), Louis Plissonneau
LARGE-SCALE INTERNET MEASUREMENTS FOR DIAGNOSTICS AND PUBLIC POLICY. Henning Schulzrinne (+ Walter Johnston & James Miller) FCC & Columbia University
1 LARGE-SCALE INTERNET MEASUREMENTS FOR DIAGNOSTICS AND PUBLIC POLICY Henning Schulzrinne (+ Walter Johnston & James Miller) FCC & Columbia University 2 Overview Quick overview What does MBA measure? Can
The Value of Content Distribution Networks Mike Axelrod, Google axelrod@google.com. Google Public
The Value of Content Distribution Networks Mike Axelrod, Google axelrod@google.com Introduction Well understood facts: o Fast is better than slow but it costs more to be fast o Network has to be fast and
Week 3 / Paper 2. Bernhard Ager, Wolfgang Mühlbauer, Georgios Smaragdakis, Steve Uhlig ACM IMC 2010.
Week 3 / Paper 2 Comparing DNS Resolvers in the Wild Bernhard Ager, Wolfgang Mühlbauer, Georgios Smaragdakis, Steve Uhlig ACM IMC 2010. Main point How does ISP DNS compare with Google DNS and OpenDNS?
QoE-Aware Multimedia Content Delivery Over Next-Generation Networks
QoE-Aware Multimedia Content Delivery Over Next-Generation Networks M. Oğuz Sunay July 9, 2013 Second Romeo Workshop PAGE: 1 M. Oğuz Sunay, Özyeğin University Istanbul, July 9, 2013 Romeo High-quality
Increasing the Coverage of Vantage Points in Distributed Active Network Measurements by Crowdsourcing
NOTICE: This is the author s version of a work accepted for publication by Springer. Changes resulting from the publishing process, including editing, corrections, structural formatting and other quality
YouTube All Around: Characterizing YouTube from Mobile and Fixed-line Network Vantage Points
YouTube All Around: Characterizing YouTube from Mobile and Fixed-line Network Vantage Points Pedro Casas, Pierdomenico Fiadino, Arian Bär, Alessandro D Alconzo FTW - Telecommunications Research Center
The Effect of Caches for Mobile Broadband Internet Access
The Effect of s for Mobile Jochen Eisl, Nokia Siemens Networks, Munich, Germany Haßlinger, Deutsche Telekom Technik,, Darmstadt, Germany IP-based content delivery: CDN & cache architecture Impact of access
Exploring YouTube s Content Distribution Network Through Distributed Application-Layer Measurements: A First View
Exploring YouTube s Content Distribution Network Through Distributed Application-Layer Measurements: A First View Albert Rafetseder, Florian Metzger, David Stezenbach, and Kurt Tutschku {albert.rafetseder,
Measuring the Web: Part I - - Content Delivery Networks. Prof. Anja Feldmann, Ph.D. Dr. Ramin Khalili Georgios Smaragdakis, PhD
Measuring the Web: Part I - - Content Delivery Networks Prof. Anja Feldmann, Ph.D. Dr. Ramin Khalili Georgios Smaragdakis, PhD Acknowledgement Material presented in these slides is borrowed from presentajons
Overlay Networks. Slides adopted from Prof. Böszörményi, Distributed Systems, Summer 2004.
Overlay Networks An overlay is a logical network on top of the physical network Routing Overlays The simplest kind of overlay Virtual Private Networks (VPN), supported by the routers If no router support
A Comparison between Centralized and Distributed Cloud Storage Data-Center Topologies
A Comparison between Centralized and Distributed Cloud Storage Data-Center Topologies Maurice Bolhuis University of Twente P.O. Box 217, 7500AE Enschede The Netherlands M.Bolhuis-1@student.utwente.nl ABSTRACT
PowerLink Bandwidth Aggregation Redundant WAN Link and VPN Fail-Over Solutions
Bandwidth Aggregation Redundant WAN Link and VPN Fail-Over Solutions Find your network example: 1. Basic network with and 2 WAN lines - click here 2. Add a web server to the LAN - click here 3. Add a web,
Application-layer protocols
Application layer Goals: Conceptual aspects of network application protocols Client server paradigm Service models Learn about protocols by examining popular application-level protocols HTTP DNS Application-layer
SDN-based Application-Aware Networking on the Example of YouTube Video Streaming
Institute of Computer Science Chair of Communication Networks Prof. Dr.-Ing. P. Tran-Gia SDN-based Application-Aware Networking on the Example of YouTube Video Streaming www3.informatik.uni-wuerzburg.de
How Do You Tube? Reverse Engineering the YouTube Video Delivery Cloud
How Do You Tube? Reverse Engineering the YouTube Video Delivery Cloud Vijay Kumar Adhikari, Sourabh Jain, Yingying Chen, and Zhi Li Zhang Department of Computer Science & Engineering, University of Minnesota
REVERSE ENGINEERING THE YOUTUBE VIDEO DELIVERY CLOUD. Vijay Kumar Adhikari, Sourabh Jain, Yingying Chen, and Zhi-Li Zhang
REVERSE ENGINEERING THE YOUTUBE VIDEO DELIVERY CLOUD Vijay Kumar Adhikari, Sourabh Jain, Yingying Chen, and Zhi-Li Zhang Department of Computer Science & Engineering, University of Minnesota - Twin Cities
Global Server Load Balancing
White Paper Overview Many enterprises attempt to scale Web and network capacity by deploying additional servers and increased infrastructure at a single location, but centralized architectures are subject
Testing & Assuring Mobile End User Experience Before Production. Neotys
Testing & Assuring Mobile End User Experience Before Production Neotys Agenda Introduction The challenges Best practices NeoLoad mobile capabilities Mobile devices are used more and more At Home In 2014,
Live Traffic Monitoring with Tstat: Capabilities and Experiences
Live Traffic Monitoring with Tstat: Capabilities and Experiences Maurizio M. Munafò Alessandro Finamore Marco Mellia Michela Meo Dario Rossi WWIC - Luleå, June 3, 2010 Outline Motivations Tstat - TCP STatistic
Information- Centric Networks. Section # 3.2: DNS Issues Instructor: George Xylomenos Department: Informatics
Information- Centric Networks Section # 3.2: DNS Issues Instructor: George Xylomenos Department: Informatics Funding These educational materials have been developed as part of the instructors educational
DATA COMMUNICATOIN NETWORKING
DATA COMMUNICATOIN NETWORKING Instructor: Ouldooz Baghban Karimi Course Book: Computer Networking, A Top-Down Approach, Kurose, Ross Slides: - Course book Slides - Slides from Princeton University COS461
Web Caching and CDNs. Aditya Akella
Web Caching and CDNs Aditya Akella 1 Where can bottlenecks occur? First mile: client to its ISPs Last mile: server to its ISP Server: compute/memory limitations ISP interconnections/peerings: congestion
Inside Dropbox: Understanding Personal Cloud Storage Services
Inside Dropbox: Understanding Personal Cloud Storage Services Idilio Drago University of Twente i.drago@utwente.nl Anna Sperotto University of Twente a.sperotto@utwente.nl Marco Mellia Politecnico di Torino
Personal Cloud Storage: Usage, Performance and Impact of Terminals
Personal Cloud Storage: Usage, Performance and Impact of Terminals Enrico Bocchi, Idilio Drago, Marco Mellia Politecnico di Torino name.surname@polito.it Abstract Personal cloud storage services such as
A Framework for Monitoring and Measuring a Large-Scale Distributed System in Real Time
A Framework for Monitoring and Measuring a Large-Scale Distributed System in Real Time Lei Zhan, Tom Z. J. Fu, Dah Ming Chiu and Zhibin Lei {zl011, zjfu6, dmchiu}@ie.cuhk.edu.hk, Department of Information
FortiBalancer: Global Server Load Balancing WHITE PAPER
FortiBalancer: Global Server Load Balancing WHITE PAPER FORTINET FortiBalancer: Global Server Load Balancing PAGE 2 Introduction Scalability, high availability and performance are critical to the success
CDN and Traffic-structure
CDN and Traffic-structure Outline Basics CDN Traffic Analysis 2 Outline Basics CDN Building Blocks Services Evolution Traffic Analysis 3 A Centralized Web! Slow content must traverse multiple backbones
Test Methodology White Paper. Author: SamKnows Limited
Test Methodology White Paper Author: SamKnows Limited Contents 1 INTRODUCTION 3 2 THE ARCHITECTURE 4 2.1 Whiteboxes 4 2.2 Firmware Integration 4 2.3 Deployment 4 2.4 Operation 5 2.5 Communications 5 2.6
YouTube Traffic Monitoring and Analysis
TECHNICAL UNIVERSITY OF CATALONIA BARCELONATECH YouTube Traffic Monitoring and Analysis by Georgios Dimopoulos A thesis submitted in fulfillment for the degree of Master of Science in Information and Communication
John S. Otto Fabián E. Bustamante
John S. Otto Fabián E. Bustamante Northwestern, EECS AIMS-4 CAIDA, SDSC, San Diego, CA Feb 10, 2012 http://aqualab.cs.northwestern.edu ! CDNs direct web clients to nearby content replicas! Several motivations
Akamai CDN, IPv6 and DNS security. Christian Kaufmann Akamai Technologies DENOG 5 14 th November 2013
Akamai CDN, IPv6 and DNS security Christian Kaufmann Akamai Technologies DENOG 5 14 th November 2013 Agenda Akamai Introduction Who s Akamai? Intelligent Platform & Traffic Snapshot Basic Technology Akamai
ITU-T Kaleidoscope 2010 Beyond the Internet? - Innovations for future networks and services
ITU-T Kaleidoscope 2010 Beyond the Internet? - Innovations for future networks and services How can an ISP merge with a CDN? Kideok Cho, Hakyung Jung, Munyoung Lee, Diko Ko, Ted Taekyoung Kwon, and Yanghee
Craig Labovitz, Scott Iekel-Johnson, Danny McPherson Arbor Networks Jon Oberheide, Farnam Jahanian University of Michigan
Internet Inter-Domain Traffic Craig Labovitz, Scott Iekel-Johnson, Danny McPherson Arbor Networks Jon Oberheide, Farnam Jahanian University of Michigan Motivation Measuring the Internet is hard Significant
Building a Resilient World Wide Web
Building a Resilient World Wide Web Michael Smith mismith@akamai.com Security Evangelist Network Services: Simple? Customer Origin End User The Akamai Platform Edge Delivery of Dynamic Web Sites, Web Applications,
Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience
Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience Tobias Hoßfeld 1, Raimund Schatz 2, Ernst Biersack 3, and Louis Plissonneau 4 1 University of Würzburg, Institute
Inside Dropbox: Understanding Personal Cloud Storage Services
Inside Dropbox: Understanding Personal Cloud Storage Services Idilio Drago University of Twente i.drago@utwente.nl Anna Sperotto University of Twente a.sperotto@utwente.nl Marco Mellia Politecnico di Torino
Inside Dropbox: Understanding Personal Cloud Storage Services
Inside Dropbox: Understanding Personal Cloud Storage Services Corneliu Claudiu Prodescu School of Engineering and Sciences Jacobs University Bremen Campus Ring 1, 28759 Bremen, Germany Monday 22 nd April,
GLOBAL SERVER LOAD BALANCING WITH SERVERIRON
APPLICATION NOTE GLOBAL SERVER LOAD BALANCING WITH SERVERIRON Growing Global Simply by connecting to the Internet, local businesses transform themselves into global ebusiness enterprises that span the
CONTENT SERVER SATURATION DETECTION AND LOAD BALANCING BASED ON FINANCIAL TECHNIQUES
U.P.B. Sci. Bull., Series C, Vol. 78, Iss. 2, 2016 ISSN 2286-3540 CONTENT SERVER SATURATION DETECTION AND LOAD BALANCING BASED ON FINANCIAL TECHNIQUES Radu A. BADEA 1, Eugen BORCOCI 2 The steady demand
Inside Dropbox: Understanding Personal Cloud Storage Services
Inside Dropbox: Understanding Personal Cloud Storage Services Idilio Drago University of Twente i.drago@utwente.nl Anna Sperotto University of Twente a.sperotto@utwente.nl Marco Mellia Politecnico di Torino
Alteon Global Server Load Balancing
Alteon Global Server Load Balancing Whitepaper GSLB Operation Overview Major Components Distributed Site Monitoring Distributed Site State Protocol Internet Topology Awareness DNS Authoritative Name Server
loss-tolerant and time sensitive loss-intolerant and time sensitive loss-intolerant and time insensitive
CS326e Quiz 5 The first correct 10 answers will be worth 1 point each. Each subsequent correct answer will be worth 0.2 points. Circle the correct answer. UTEID The transfer of an html file from one host
DOCUMENT REFERENCE: SQ309-002-EN. SAMKNOWS TEST METHODOLOGY Web-based Broadband Performance White Paper. July 2015
DOCUMENT REFERENCE: SQ309-002-EN SAMKNOWS TEST METHODOLOGY Web-based Broadband Performance White Paper July 2015 SAMKNOWS QUALITY CONTROLLED DOCUMENT. SQ REV LANG STATUS OWNER DATED 309 03 EN FINAL SC
Experiment of network services invocation in the Orange testbed The CINA interface
Experiment of network services invocation in the Orange testbed The CINA interface Bertrand Mathieu, Irène Grosclaude, Pierre Paris Orange Labs bertrand2.mathieu@orange.com Workshop «Optimisation of Network
How To Understand The Power Of A Content Delivery Network (Cdn)
Overview 5-44 5-44 Computer Networking 5-64 Lecture 8: Delivering Content Content Delivery Networks Peter Steenkiste Fall 04 www.cs.cmu.edu/~prs/5-44-f4 Web Consistent hashing Peer-to-peer CDN Motivation
Content Delivery Networks (CDN) Dr. Yingwu Zhu
Content Delivery Networks (CDN) Dr. Yingwu Zhu Web Cache Architecure Local ISP cache cdn Reverse Reverse Proxy Reverse Proxy Reverse Proxy Proxy L4 Switch Content Content Content Server Content Server
Bit-Rate and Application Performance in Ultra BroadBand Networks
Bit-Rate and Application Performance in Ultra BroadBand Networks Gianfranco Ciccarella - Telecom Italia Vice President Global Advisory Services 4ºFocus: Gianfranco Ciccarella - Telecom Index QoE platforms:
From Internet Data Centers to Data Centers in the Cloud
From Internet Data Centers to Data Centers in the Cloud This case study is a short extract from a keynote address given to the Doctoral Symposium at Middleware 2009 by Lucy Cherkasova of HP Research Labs
Network Layers. CSC358 - Introduction to Computer Networks
Network Layers Goal Understand how application processes set up a connection and exchange messages. Understand how addresses are determined Data Exchange Between Application Processes TCP Connection-Setup
Internet Services. Amcom. Support & Troubleshooting Guide
Amcom Internet Services This Support and Troubleshooting Guide provides information about your internet service; including setting specifications, testing instructions and common service issues. For further
Global Server Load Balancing
White Paper Global Server Load Balancing APV Series Application Delivery Controllers May 2011 Global Server Load Balancing Access. Security. Delivery. Introduction Scalability, high availability and performance
Address Resolution Protocol (ARP)
Address Resolution Protocol (ARP) Question: how do packets actually get to their destination? IP routing tables: based on network addresses Ethernet physical interfaces only understand ethernet addresses
State of the Cloud DNS Report
transparency for the cloud State of the Cloud DNS Report Basic Edition April 2015 2015 Table of Contents Overview Introduction 3 Anycast vs. Unicast DNS 3 Provider Overview & Current News 4 Provider Marketshare
Personalizing the Home Network Experience using Cloud-Based SDN
Personalizing the Home Network Experience using Cloud-Based SDN Hassan Habibi Gharakheili (UNSW) Jacob Bass (Newtworks) Luke Exton (UNSW) Vijay Sivaraman (UNSW) 1 Overview This paper is about service management
Lecture 3: Scaling by Load Balancing 1. Comments on reviews i. 2. Topic 1: Scalability a. QUESTION: What are problems? i. These papers look at
Lecture 3: Scaling by Load Balancing 1. Comments on reviews i. 2. Topic 1: Scalability a. QUESTION: What are problems? i. These papers look at distributing load b. QUESTION: What is the context? i. How
Towards Web Service Classification using Addresses and DNS
Towards Web Service Classification using Addresses and DNS Martino Trevisan, Idilio Drago, Marco Mellia, Maurizio M. Munafò Politecnico di Torino, Italy (firstname.lastname@polito.it) Abstract The identification
Application Latency Monitoring using nprobe
Application Latency Monitoring using nprobe Luca Deri Problem Statement Users demand services measurements. Network boxes provide simple, aggregated network measurements. You cannot always
Combining Global Load Balancing and Geo-location with Emissary TM
Combining Global Load Balancing and Geo-location with Emissary TM A New Kind of Global Internet Traffic Management Appliance from Coyote Point Systems and Digital Envoy Establishing a Geo-Sensitive, Highly
Internet Traffic Evolution 2007-2011
Internet Traffic Evolution 2007-2011 Craig Labovitz April 6, 2011 Talk Outline Four-year ongoing inter-domain traffic study Review of 2010 results (NANOG / IETF / SIGCOMM) Methodology Changing carrier
DEPLOYMENT GUIDE Version 1.1. DNS Traffic Management using the BIG-IP Local Traffic Manager
DEPLOYMENT GUIDE Version 1.1 DNS Traffic Management using the BIG-IP Local Traffic Manager Table of Contents Table of Contents Introducing DNS server traffic management with the BIG-IP LTM Prerequisites
Exploring the Cloud from Passive Measurements: the Amazon AWS Case
Exploring the Cloud from Passive Measurements: the Amazon AWS Case Ignacio Bermudez, Stefano Traverso, Marco Mellia, Maurizio Munafò DET, Politecnico di Torino, Italy {lastname}@tlc.polito.it Abstract
How To Improve Performance On A Ccdn (Dns)
Enhanced Content Delivery Network to Improve the QoE 1 Sachendra Singh Solanky, 2 Sandra Brigit Johnson, 3 Vakkalagadda Eswar Praphul 1 M.Tech Student SCSE, VIT University Chennai-600048, 2 M.Tech Student
Analyzing Caching Benefits for YouTube Traffic in Edge Networks - A Measurement-Based Evaluation
Analyzing Caching Benefits for YouTube Traffic in Edge Networks - A Measurement-Based Evaluation Lothar Braun, Alexander Klein, Georg Carle {braun,klein,carle}@net.in.tum.de Technische Universität München
Tools and Methods for Testing the QoS of Internet services
ITU REGIONAL STANDARDIZATION FORUM FOR AFRICA (Dakar, Senegal, 23-24 March 2015) Tools and Methods for Testing the QoS of Internet services Yvonne Umutoni Yvonne.umutoni@rura.rw 1 EXECUTIVE SUMMARY This
White Paper. ThinRDP Load Balancing
White Paper ThinRDP Load Balancing Introduction Load balancing and Fault-tolerance are methodologies to distribute workload across multiple services to achieve optimal resource utilization, avoid overload
Network Characteristics of Video Streaming Traffic
Network Characteristics of Video Streaming Traffic Ashwin Rao INRIA France Arnaud Legout INRIA France Yeon-sup Lim University of Massachusetts, Amherst, MA Don Towsley University of Massachusetts, Amherst,
Content Distribu-on Networks (CDNs)
Content Distribu-on Networks (CDNs) Jennifer Rexford COS 461: Computer Networks Lectures: MW 10-10:0am in Architecture N101 hjp://www.cs.princeton.edu/courses/archive/spr12/cos461/ Second Half of the Course
Request Routing, Load-Balancing and Fault- Tolerance Solution - MediaDNS
White paper Request Routing, Load-Balancing and Fault- Tolerance Solution - MediaDNS June 2001 Response in Global Environment Simply by connecting to the Internet, local businesses transform themselves
Network Performance of Smart Mobile Handhelds in a University Campus WiFi Network
Network Performance of Smart Mobile Handhelds in a University Campus WiFi Network Xian Chen, Ruofan Jin University of Connecticut Kyoungwon Suh Illinois State University Bing Wang, Wei Wei University of
Measuring CDN Performance. Hooman Beheshti, VP Technology
Measuring CDN Performance Hooman Beheshti, VP Technology Why this matters Performance is one of the main reasons we use a CDN Seems easy to measure, but isn t Performance is an easy way to comparison shop
IMF Tune Quarantine & Reporting Running SQL behind a Firewall. WinDeveloper Software Ltd.
IMF Tune Quarantine & Reporting Running SQL behind a Firewall WinDeveloper Software Ltd. 1 Basic Setup Quarantine & Reporting Web Interface must be installed on the same Windows Domain as the SQL Server
Handling Flash Crowds From Your Garage
Handling Flash Crowds From Your Garage Jeremy Elson and Jon Howell Microsoft Research USENIX ATC 2008 Scaling For Many Users Scaling For Many Users... quickly Scaling For Many Users... quickly... on a
Computer Networks CCNA Module 1
Chapter 1: Quiz 1 Q1: Which statement describes a network that supports QoS? The fewest possible devices are affected by a failure. The network should be able to expand to keep up with user demand. The
PowerDNS Introduction
PowerDNS Introduction OX Summit 2015 All presentations will be on: https://www.powerdns.com/oxsummit PowerDNS History Founded in 1999 to provide database driven DNS + geographical load balancing between
Content Delivery and the Natural Evolution of DNS
Content Delivery and the Natural Evolution of DNS Remote DNS Trends, Performance Issues and Alternative Solutions John S. Otto Mario A. Sánchez John P. Rula Fabián E. Bustamante Northwestern University
Flash Crowds & Denial of Service Attacks
Flash Crowds & Denial of Service Attacks Characterization and Implications for CDNs and Web sites Jaeyeon Jung MIT Laboratory for Computer Science Balachander Krishnamurthy and Michael Rabinovich AT&T
Application. Transport. Network. Data Link. Physical. Network Layers. Goal
Layers Goal Understand how application processes set up a connection and exchange messages. Understand how addresses are determined 1 2 Data Exchange Between Processes TCP Connection-Setup Between Processes
YouTube Traffic Dynamics and Its Interplay with a Tier-1 ISP: An ISP Perspective
YouTube Traffic Dynamics and Its Interplay with a Tier- ISP: An ISP Perspective Vijay Kumar Adhikari, Sourabh Jain, and Zhi-Li Zhang Dept. of Computer Science, University of Minnesota Minneapolis, MN viadhi@cs.umn.edu,
Microsoft Exchange Load Balancing. Unique Applied Patent Technology By XRoads Networks
Microsoft Exchange Load Balancing Unique Applied Patent Technology By XRoads Networks Microsoft Exchange Server Balancing The following is an introduction and overview as to how the EdgeXOS appliances
Distributed Systems. 23. Content Delivery Networks (CDN) Paul Krzyzanowski. Rutgers University. Fall 2015
Distributed Systems 23. Content Delivery Networks (CDN) Paul Krzyzanowski Rutgers University Fall 2015 November 17, 2015 2014-2015 Paul Krzyzanowski 1 Motivation Serving web content from one location presents
Single Pass Load Balancing with Session Persistence in IPv6 Network. C. J. (Charlie) Liu Network Operations Charter Communications
Single Pass Load Balancing with Session Persistence in IPv6 Network C. J. (Charlie) Liu Network Operations Charter Communications Load Balancer Today o Load balancing is still in use today. It is now considered
Trends in Internet Traffic Patterns Darren Anstee, EMEA Solutions Architect
Trends in Internet Traffic Patterns Darren Anstee, EMEA Solutions Architect This Talk The End of the Internet as we Know it We present the largest study of Internet traffic every conducted Peer-reviewed
Impact of Carrier-Grade NAT on Web Browsing
Impact of Carrier-Grade NAT on Web Browsing Enrico Bocchi, Ali Safari Khatouni, Stefano Traverso, Alessandro Finamore,2, Valeria Di Gennaro,3, Marco Mellia, Maurizio Munafò, Dario Rossi 3 Politecnico di
Application Performance Monitoring (APM) Technical Whitepaper
Application Performance Monitoring (APM) Technical Whitepaper Table of Contents Introduction... 3 Detect Application Performance Issues Before Your Customer Does... 3 Challenge of IT Manager... 3 Best
ATLAS Internet Observatory Bandwidth Bandwagon: An ISOC Briefing Panel November 11, 2009, Hiroshima, Japan
ATLAS Internet Observatory Bandwidth Bandwagon: An ISOC Briefing Panel November 11, 2009, Hiroshima, Japan Danny McPherson danny@arbor.net Chief Security Officer ATLAS Observatory Details ISP / Content