How To Understand The Power Of A Content Delivery Network (Cdn)
|
|
|
- Derrick Parker
- 5 years ago
- Views:
Transcription
1 Overview Computer Networking 5-64 Lecture 8: Delivering Content Content Delivery Networks Peter Steenkiste Fall 04 Web Consistent hashing Peer-to-peer CDN Motivation Edge servers Content delivery Mapping Impact on Internet Some slides based on presentation by Patrick Gilmore Content Distribution Networks (CDNs) The content providers are the CDN customers. Content replication CDN company installs hundreds of CDN servers throughout Internet Close to users CDN replicates its customers content in CDN servers. When provider updates content, CDN updates servers origin server in North America CDN distribution node CDN server in S. America CDN server in Europe CDN server in Asia 4
2 Case Study on Reliability and Scalability: The 000 Election What is the CDN? Customer Visits (Millions) Crash Zone Without Akamai this site could not have served customers above their crash zone Time Edge Caches: work with ISP and networks everywhere to install edge caches Edge = close to customers Content delivery: getting content to the edge caches Content can be objects, video, or entire web sites Mapping: find the closest edge server for each user and deliver content from that server Network proximity not the same as geographic proximity Focus is on performance as observed by user (quality) 5-44 S'0 6 Potential Benefits Edge Caches Very good scalability Near infinite if deployed properly Good economies at large scales Infrastructure is shared efficiently by customers Statistical multiplexing: hot sites use more resources Avoids congestion and long latencies Through mapping to closest server Can be extremely reliable Very high degree of redundancy Can mitigate some DoS attacks Region set of caches managed as a cluster May have a specific function: http, streaming, Availability is a major concern in architecture design Redundancy at the network level See next slide Dealing with server failures Servers do fail occasionally Each server has a buddy which is constantly trading hellos If hellos stop, buddy starts to respond directly to requests for primary server Users in the middle of a download may have to hit reload No one else will notice any interruption 7 8
3 Example Configuration Content Delivery: Possible Bottlenecks Last Mile Problem First Mile Problem End User Peering Problem Internet Backbone Problem Host Server Process Flow Process Flow. User wants to download distributed web content. User is directed through Akamai s dynamic mapping to the closest edge cache
4 Process Flow Process Flow a a. Edge cache searches local hard drive for content b. If requested object is not on local hard drive, edge cache checks other edge caches in same region for object Process Flow Process Flow b b a a a a c b. If requested object is not cached or not fresh, edge cache sends an HTTP GET the origin server c. Origin server delivers object to edge cache over optimized connection 4
5 Process Flow Core Hierarchy Regions b a 4 a c 4. Edge server delivers content to end user. User requests content and is mapped to optimal edge Akamai server Core Hierarchy Regions Core Hierarchy Regions. If content is not present in the region, it is requested from most optimal core region. Core region makes one request back to origin server 5
6 Core Hierarchy Regions Core Hierarchy Features Reduces traffic back to origin server Reduces infrastructure needs of customer Provides best protection against flash crowds Especially important for large files (e.g. Operating System updates or video files) Improved end-user response time Core regions are well connected Optimized connection speeds object delivery 4. Core region can serve many edge regions with one request to origin server Mapping: Server Selection Application Based Which server? Lowest load to balance load on servers Best performance to improve client performance Based on Geography? RTT? Throughput? Load? Any alive node to provide fault tolerance How to direct clients to a particular server? As part of routing anycast, cluster load balancing Not covered As part of application HTTP redirect As part of naming DNS HTTP supports simple way to indicate that Web page has moved (0X responses) Server receives Get request from client Decides which server is best suited for particular client and object Returns HTTP redirect to that server Can make informed application specific decision May introduce additional overhead multiple connection setup, name lookups, etc. While good solution in general, but HTTP Redirect has some design flaws 4 6
7 Naming Based Mapping Algorithms Client does name lookup for service Name server chooses appropriate server address A-record returned is best one for the client What information can name server base decision on? Server load/location must be collected Information in the name lookup request Name service client typically the local name server for client Three main components to finding closest edge cache to end user from a Network point of view: Packet Loss + Throughput + Latency Listed in order of importance (roughly) Mapping also takes into account edge cache performance Does a server have an object on its hard drive? Uses consistent hashing algorithm Does the edge cache have CPU, RAM, bandwidth, etc. available to serve end-user? 5 Access to Web Site without CDN FreeFlow Akamai s Object Delivery Service HTTP request user enters standard URL Client s Servers Customer Web End User Server User enters Customer s Web User s browser Objects served standard URL Server returns requests embedded 4 with round trips HTML with objects from customer across the Internet embedded URLs Web server <img src=/images/logo.gif> HTTP request for embedded content Akamai Server Content Served Locally HTML code contains Akamai URLs (ARL) Example ARL: img src= a000.g.akamai.net/ / 7
8 Steps in Content Retrieval Resolution of Modified Name Clients fetch html document from primary server E.g. fetch index.html from cnn.com URLs for replicated content are replaced in html E.g. <img src= > replaced with <img src= > Note that modified name includes original file name Drawback: must modify the content Client is forced to resolve a.g.akamaitech.net hostname Focus is on static content Can be freely cached Root server gives NS record for akamai.net Akamai.net name server returns NS record for g.akamaitech.net Name server chosen to be in region of client s name server TTL is large G.akamaitech.net nameserver chooses server in region Should try to chose server that has file in cache - How to choose? Uses a name and hash TTL is small why? 9 0 How Akamai Works Akamai Subsequent Requests cnn.com (content provider) DNS root server Akamai server cnn.com (content provider) DNS root server Akamai server Get index. html 4 End-user Get foo.jpg Get /cnn.com/foo.jpg Akamai high-level DNS server Akamai low-level DNS server Nearby matching Akamai server Get index. html Akamai high-level DNS server 7 Akamai low-level DNS End-user 8 9 Get 0 /cnn.com/foo.jpg server Nearby matching Akamai server 8
9 EdgeSuite Akamai s Site Delivery Service Customer CNAME s (aliases) Anyone looking up will be redirected to an Akamai hostname - customer.d4p.net No, I do not know why we use d4p.net. customer.d4p.net is CNAME d to axxx.g.akamai.net Standard Akamai mapping magic sends returns the closest edge server for axxx.g.akamai.net EdgeSuite Akamai s Site Delivery Service End user never communicates with origin server Content retrieved from private hostname, e.g., origin.customer.com? High reliability Thousands of servers backing each other up If one geographic area is disabled, no other area is affected Mitigates some DoS attacks Uncacheable content is tunneled back to origin Can reduce need for tunneling with server-side scripts running on edge caches now very common Persistent TCP connections increase performance Helps with downloading of objects to end caches Overview Web Consistent hashing Peer-to-peer CDN Motivation Edge servers Content delivery Mapping Impact on Internet Change in Traffic with CDN Edge Caches Transit ($$$) ISP Z Transit ($$) Transit ($$ /) Peering Transit ($$$) ISP P ISP X Transit ($$) Transit ($$$) Transit ($$$) Peering Transit ($) Transit ($$) ISP Y ISP Q 5 6 9
10 Impact of CDN Growth Some Recent Trends Flattening of the Internet More content is served from the edge of the network Also see an increase in peering More traffic remains at edge reduced load on core Changes in the economic relationships Caches benefit users: better performance, reliability Happy customers benefit the CDN ISP benefits since more content is served locally Reduces traffic from provider direct economic benefit CDNs sometimes place caches in eye ball ISPs for free, but economic models change all the time If CDN s can deploy caches, why can t I? Content providers have started to deploy CDNs Reduce cost, assuming you are large enough Optimize caching to their specific requiremens Can still use CDNs, e.g., in certain regions,. Internet Service Providers also try deploy CDNs Sometimes difficult to build the business relationships with content owners too many ISPs! How about the know-how? Hybrid solutions are emerging, e.g., ISPs install hardware and license software from CDNs 7 9 Summary Caching improves web performance Caching only at client is only partial solution Not enough locality Content Delivery Networks move data closer to user, balance load, increase availability, Is having impact on structure of the Internet No longer just a solution for static content 40 0
Overview. Tor Circuit Setup (1) Tor Anonymity Network
8-345: Introduction to Telecommunication Networks Lectures 8: Delivering Content Web, Peer-Peer, CDNs Peter Steenkiste Spring 05 www.cs.cmu.edu/~prs/nets-ece Web Peer-to-peer Motivation Architectures TOR
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
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
CSC2231: Akamai. http://www.cs.toronto.edu/~stefan/courses/csc2231/05au. Stefan Saroiu Department of Computer Science University of Toronto
CSC2231: Akamai http://www.cs.toronto.edu/~stefan/courses/csc2231/05au Stefan Saroiu Department of Computer Science University of Toronto Administrivia Project proposals due today!!! No lecture on Monday:
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
ICP. Cache Hierarchies. Squid. Squid Cache ICP Use. Squid. Squid
Caching & CDN s 15-44: Computer Networking L-21: Caching and CDNs HTTP APIs Assigned reading [FCAB9] Summary Cache: A Scalable Wide- Area Cache Sharing Protocol [Cla00] Freenet: A Distributed Anonymous
Distributed Systems 19. Content Delivery Networks (CDN) Paul Krzyzanowski [email protected]
Distributed Systems 19. Content Delivery Networks (CDN) Paul Krzyzanowski [email protected] 1 Motivation Serving web content from one location presents problems Scalability Reliability Performance Flash
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
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
Indirection. science can be solved by adding another level of indirection" -- Butler Lampson. "Every problem in computer
Indirection Indirection: rather than reference an entity directly, reference it ( indirectly ) via another entity, which in turn can or will access the original entity A x B "Every problem in computer
Internet Content Distribution
Internet Content Distribution Chapter 4: Content Distribution Networks (TUD Student Use Only) Chapter Outline Basics of content distribution networks (CDN) Why CDN? How do they work? Client redirection
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
1. Comments on reviews a. Need to avoid just summarizing web page asks you for:
1. Comments on reviews a. Need to avoid just summarizing web page asks you for: i. A one or two sentence summary of the paper ii. A description of the problem they were trying to solve iii. A summary of
Distributed Systems. 24. Content Delivery Networks (CDN) 2013 Paul Krzyzanowski. Rutgers University. Fall 2013
Distributed Systems 24. Content Delivery Networks (CDN) Paul Krzyzanowski Rutgers University Fall 2013 November 27, 2013 2013 Paul Krzyzanowski 1 Motivation Serving web content from one location presents
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
Distributed Systems. 25. Content Delivery Networks (CDN) 2014 Paul Krzyzanowski. Rutgers University. Fall 2014
Distributed Systems 25. Content Delivery Networks (CDN) Paul Krzyzanowski Rutgers University Fall 2014 November 16, 2014 2014 Paul Krzyzanowski 1 Motivation Serving web content from one location presents
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
Department of Computer Science Institute for System Architecture, Chair for Computer Networks. Caching, Content Distribution and Load Balancing
Department of Computer Science Institute for System Architecture, Chair for Computer Networks Caching, Content Distribution and Load Balancing Motivation Which optimization means do exist? Where should
The Application Front End Understanding Next-Generation Load Balancing Appliances
White Paper Overview To accelerate download times for end users and provide a high performance, highly secure foundation for Web-enabled content and applications, networking functions need to be streamlined.
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
Web Application Hosting Cloud Architecture
Web Application Hosting Cloud Architecture Executive Overview This paper describes vendor neutral best practices for hosting web applications using cloud computing. The architectural elements described
The Effectiveness of Request Redirection on CDN Robustness
The Effectiveness of Request Redirection on CDN Robustness Limin Wang, Vivek Pai and Larry Peterson Presented by: Eric Leshay Ian McBride Kai Rasmussen 1 Outline! Introduction! Redirection Strategies!
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
Akamai CDN, IPv6 and DNS security. Christian Kaufmann Akamai Technologies APNIC 36 26 th August 2013
Akamai CDN, IPv6 and DNS security Christian Kaufmann Akamai Technologies APNIC 36 26 th August 2013 Agenda Akamai Introduction Who s Akamai? Intelligent Platform & Traffic Snapshot Basic Technology Akamai
Content Delivery Networks. Shaxun Chen April 21, 2009
Content Delivery Networks Shaxun Chen April 21, 2009 Outline Introduction to CDN An Industry Example: Akamai A Research Example: CDN over Mobile Networks Conclusion Outline Introduction to CDN An Industry
The Value of Content Distribution Networks Mike Axelrod, Google [email protected]. Google Public
The Value of Content Distribution Networks Mike Axelrod, Google [email protected] Introduction Well understood facts: o Fast is better than slow but it costs more to be fast o Network has to be fast and
Content Delivery Networks
Content Delivery Networks Terena 2000 ftp://ftpeng.cisco.com/sgai/t2000cdn.pdf Silvano Gai Cisco Systems, USA Politecnico di Torino, IT [email protected] Terena 2000 1 Agenda What are Content Delivery Networks?
Making the Internet fast, reliable and secure. DE-CIX Customer Summit - 2014. Steven Schecter <[email protected]>
Making the Internet fast, reliable and secure DE-CIX Customer Summit - 2014 Steven Schecter What is a Content Distribution Network RFCs and Internet Drafts define a CDN as: Content
The Application Delivery Controller Understanding Next-Generation Load Balancing Appliances
White Paper Overview To accelerate response times for end users and provide a high performance, highly secure and scalable foundation for Web applications and rich internet content, application networking
High volume Internet data centers. MPLS-based Request Routing. Current dispatcher technology. MPLS-based architecture
MPLS-based Request Routing High volume Internet data centers MPLS-based Request Routing Arup Acharya, Anees Shaikh, Renu Tewari, Dinesh Verma IBM TJ Watson Research Center Web server cluster + front-end
THE MASTER LIST OF DNS TERMINOLOGY. v 2.0
THE MASTER LIST OF DNS TERMINOLOGY v 2.0 DNS can be hard to understand and if you re unfamiliar with the terminology, learning more about DNS can seem as daunting as learning a new language. To help people
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
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
BGP and Traffic Engineering with Akamai. Caglar Dabanoglu Akamai Technologies AfPIF 2015, Maputo, August 25th
BGP and Traffic Engineering with Akamai Caglar Dabanoglu Akamai Technologies AfPIF 2015, Maputo, August 25th AGENDA Akamai Intelligent Platform Peering with Akamai Traffic Engineering Summary Q&A The Akamai
THE MASTER LIST OF DNS TERMINOLOGY. First Edition
THE MASTER LIST OF DNS TERMINOLOGY First Edition DNS can be hard to understand and if you re unfamiliar with the terminology, learning more about DNS can seem as daunting as learning a new language. To
Content Delivery Network. Version 0.95
Content Delivery Network Version 0.95 2014 CrownPeak Technology, Inc. All rights reserved. No part of this document may be reproduced or transmitted in any form or by any means, electronic or mechanical,
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
COMP 631: COMPUTER NETWORKS. How to distribute content without requiring centralized, heavy-duty servers? Peer-to-peer content distribution
Content Distribution How to distribute content without requiring centralized, heavy-duty servers? Examples: Ø Bittorrent Peer-to-peer content distribution Ø Akamai Content distribution service 20 Bottlenecks
Internet Content Distribution
Internet Content Distribution Chapter 2: Server-Side Techniques (TUD Student Use Only) Chapter Outline Server-side techniques for content distribution Goals Mirrors Server farms Surrogates DNS load balancing
Teridion. Rethinking Network Performance. The Internet. Lightning Fast. Technical White Paper July, 2015 www.teridion.com
Teridion The Internet. Lightning Fast. Rethinking Network Performance Technical White Paper July, 2015 www.teridion.com Executive summary Online services face the growing dual challenge of supporting many
CS514: Intermediate Course in Computer Systems
: Intermediate Course in Computer Systems Lecture 7: Sept. 19, 2003 Load Balancing Options Sources Lots of graphics and product description courtesy F5 website (www.f5.com) I believe F5 is market leader
Building a Resilient World Wide Web
Building a Resilient World Wide Web Michael Smith [email protected] Security Evangelist Network Services: Simple? Customer Origin End User The Akamai Platform Edge Delivery of Dynamic Web Sites, Web Applications,
Rapid IP redirection with SDN and NFV. Jeffrey Lai, Qiang Fu, Tim Moors December 9, 2015
Rapid IP redirection with SDN and NFV Jeffrey Lai, Qiang Fu, Tim Moors December 9, 2015 Background Enabling ISP-CDN collaboration SDN, NFV, CDN Basics Client assumptions And breaking them The problem My
Getting Started with AWS. Hosting a Static Website
Getting Started with AWS Hosting a Static Website Getting Started with AWS: Hosting a Static Website Copyright 2016 Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks
Data Center Content Delivery Network
BM 465E Distributed Systems Lecture 4 Networking (cont.) Mehmet Demirci Today Overlay networks Data centers Content delivery networks Overlay Network A virtual network built on top of another network Overlay
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,
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
Creating "Origin Pull" on Akamai (1)
Creating "Origin Pull" on Akamai (1) An "Origin Pull" on Akamai is set by creating a new "Configuration", you can create configurations for each of Akamai's services Object Caching - Standard CDN services,
The old Internet. Software in the Network: Outline. Traditional Design. 1) Basic Caching. The Arrival of Software (in the network)
The old Software in the Network: What Happened and Where to Go Prof. Eric A. Brewer UC Berkeley Inktomi Corporation Local networks with local names and switches IP creates global namespace and links the
The Web History (I) The Web History (II)
Goals of Today s Lecture EE 122: The World Wide Web Ion Stoica TAs: Junda Liu, DK Moon, David Zats http://inst.eecs.berkeley.edu/~ee122/ (Materials with thanks to Vern Paxson, Jennifer Rexford, and colleagues
Enabling Media Rich Curriculum with Content Delivery Networking
Enabling Media Rich Curriculum with Content Delivery Networking Mike McKeown Manager, Education Sector Europe, Middle East, Africa & Latin America [email protected] 1 Media Rich Content & Communication
CDN Brokering. Content Distribution Internetworking
CDN Brokering Alex Biliris, Chuck Cranor, Fred Douglis, Michael Rabinovich, Sandeep Sibal, Oliver Spatscheck, and Walter Sturm AT&T Labs--Research March 12, 2001 Content Distribution Internetworking Definition:
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
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
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
EdgeCast Networks Inc. Flash Media Streaming Administration Guide
EdgeCast Networks Inc. Flash Media Streaming Administration Guide Disclaimer Care was taken in the creation of this guide. However, EdgeCast Networks Inc. cannot accept any responsibility for errors or
Demand Routing in Network Layer for Load Balancing in Content Delivery Networks
Demand Routing in Network Layer for Load Balancing in Content Delivery Networks # A SHRAVANI, 1 M.Tech, Computer Science Engineering E mail: [email protected] # SYED ABDUL MOEED 2 Asst.Professor,
The Critical Role of an Application Delivery Controller
The Critical Role of an Application Delivery Controller Friday, October 30, 2009 Introduction In any economic environment a company s senior management expects that their IT organization will continually
Video Streaming Without Interruption
Video Streaming Without Interruption Adaptive bitrate and content delivery networks: Are they enough to achieve high quality, uninterrupted Internet video streaming? WHITE PAPER Abstract The increasing
Real-Time Analysis of CDN in an Academic Institute: A Simulation Study
Journal of Algorithms & Computational Technology Vol. 6 No. 3 483 Real-Time Analysis of CDN in an Academic Institute: A Simulation Study N. Ramachandran * and P. Sivaprakasam + *Indian Institute of Management
How To Model The Content Delivery Network (Cdn) From A Content Bridge To A Cloud (Cloud)
Kingston University London In network content caching contributing to the Future Internet Architecture Dissertation submitted for the Degree of Master of Science in Networking and Data Communications By
DNS, CDNs Weds March 17 2010 Lecture 13. What is the relationship between a domain name (e.g., youtube.com) and an IP address?
DNS, CDNs Weds March 17 2010 Lecture 13 DNS What is the relationship between a domain name (e.g., youtube.com) and an IP address? DNS is the system that determines this mapping. Basic idea: You contact
DNS ROUND ROBIN HIGH-AVAILABILITY LOAD SHARING
PolyServe High-Availability Server Clustering for E-Business 918 Parker Street Berkeley, California 94710 (510) 665-2929 wwwpolyservecom Number 990903 WHITE PAPER DNS ROUND ROBIN HIGH-AVAILABILITY LOAD
Citrix NetScaler Global Server Load Balancing Primer:
Citrix NetScaler Global Server Load Balancing Primer: Theory and Implementation www.citrix.com Background...3 DNS Overview...3 How DNS level GSLB works...4 Basic NetScaler GSLB Configuration...8 Accepting
How To Create A Toecdn (Open Edge Content Delivery Network) From Scratch On A Microsoft Ipad Or Ipad (For Free) On A Pc Or Ipa (For A Free) With A Free Ipad) On An Ip
The Open Edge Content Delivery Network LATEX 2ε layout from http://latextemplates.com Copyright c 2011-2013 Fredrik Danerklint bitcoin: 1toecdnToGp4QJCK5QBHiMBnLDqgufXVy The concept of The Open Edge Content
F5 and Infoblox DNS Integrated Architecture Offering a Complete Scalable, Secure DNS Solution
F5 and Infoblox DNS Integrated Architecture Offering a Complete Scalable, Secure DNS Solution As market leaders in the application delivery market and DNS, DHCP, and IP Address Management (DDI) market
CSCI-1680 CDN & P2P Chen Avin
CSCI-1680 CDN & P2P Chen Avin Based partly on lecture notes by Scott Shenker and John Jannotti androdrigo Fonseca And Computer Networking: A Top Down Approach - 6th edition Last time DNS & DHT Today: P2P
AKAMAI WHITE PAPER. Delivering Dynamic Web Content in Cloud Computing Applications: HTTP resource download performance modelling
AKAMAI WHITE PAPER Delivering Dynamic Web Content in Cloud Computing Applications: HTTP resource download performance modelling Delivering Dynamic Web Content in Cloud Computing Applications 1 Overview
Tema 5: Distribución de contenidos
Tema 5: Distribución de contenidos 1. Introducción. 2. Arquitecturas. Cliente-Servidor Web proxies. Réplica de contenidos. 3. Caching y balanceado de carga 4. Un caso La red Akamai Bibliografía [GIL11]
Getting Started with AWS. Static Website Hosting
Getting Started with AWS Static Website Hosting Getting Started with AWS: Static Website Hosting Copyright 2014 Amazon Web Services, Inc. and/or its affiliates. All rights reserved. The following are trademarks
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 [email protected] Sami Karvonen Department of Computer Science
Towards a Peer-to-Peer Extended Content Delivery Network
Towards a Peer-to-Peer Extended Content Delivery Network Daniel Pakkala and Juhani Latvakoski VTT Electronics, Kaitoväylä 1, P.O. Box 1100, FIN-90571 Oulu, Finland E-mail: {Daniel.Pakkala, Juhani.Latvakoski}@vtt.fi
SiteCelerate white paper
SiteCelerate white paper Arahe Solutions SITECELERATE OVERVIEW As enterprises increases their investment in Web applications, Portal and websites and as usage of these applications increase, performance
DNS records. RR format: (name, value, type, TTL) Type=NS
DNS records RR format: (name, value, type, TTL) Type=A name is hostname value is IP address Type=NS name is domain (e.g. foo.com) value is hostname of authoritative name server for this domain Type=CNAME
Basheer Al-Duwairi Jordan University of Science & Technology
Basheer Al-Duwairi Jordan University of Science & Technology Outline Examples of using network measurements /monitoring Example 1: fast flux detection Example 2: DDoS mitigation as a service Future trends
7 Easy Steps to Implementing Application Load Balancing For 100% Availability and Accelerated Application Performance
The recognized leader in proven and affordable load balancing and application delivery solutions White Paper 7 Easy Steps to Implementing Application Load Balancing For 100% Availability and Accelerated
Front-End Performance Testing and Optimization
Front-End Performance Testing and Optimization Abstract Today, web user turnaround starts from more than 3 seconds of response time. This demands performance optimization on all application levels. Client
5 Easy Steps to Implementing Application Load Balancing for Non-Stop Availability and Higher Performance
5 Easy Steps to Implementing Application Load Balancing for Non-Stop Availability and Higher Performance DEPLOYMENT GUIDE Prepared by: Jim Puchbauer Coyote Point Systems Inc. The idea of load balancing
CDN Brokering. Alexandros Biliris, Chuck Cranor, Fred Douglis, Michael Rabinovich, Sandeep Sibal, Oliver Spatscheck, and Walter Sturm
Alexandros Biliris, Chuck Cranor, Fred Douglis, Michael Rabinovich, Sandeep Sibal, Oliver Spatscheck, and Walter Sturm AT&T Florham Park, NJ In Proceedings of the 6th International Workshop on Web Caching
A DNS Reflection Method for Global Traffic Management
A DNS Reflection Method for Global Traffic Management Cheng Huang Microsoft Research Albert Greenberg Microsoft Research Nick Holt Microsoft Corporation Jin Li Microsoft Research Y. Angela Wang Polytechnic
CHAPTER 4 PERFORMANCE ANALYSIS OF CDN IN ACADEMICS
CHAPTER 4 PERFORMANCE ANALYSIS OF CDN IN ACADEMICS The web content providers sharing the content over the Internet during the past did not bother about the users, especially in terms of response time,
Global Load Balancing with Brocade Virtual Traffic Manager
WHITE PAPER Global Load Balancing with Brocade Virtual Traffic Manager Introduction Every year, global enterprises suffer application downtime due to failures in software or infrastructure, whether the
Dynamic Content Acceleration: Lightning-Fast Web Apps with Amazon CloudFront and Amazon Route 53
Dynamic Content Acceleration: Lightning-Fast Web Apps with Amazon CloudFront and Amazon Route 53 Constantin Gonzalez, Solutions Architect Amazon Web Services Germany GmbH 2014 Amazon.com, Inc. and its
Web Email DNS Peer-to-peer systems (file sharing, CDNs, cycle sharing)
1 1 Distributed Systems What are distributed systems? How would you characterize them? Components of the system are located at networked computers Cooperate to provide some service No shared memory Communication
A Walk through Content Delivery Networks
A Walk through Content Delivery Networks Novella Bartolini 1, Emiliano Casalicchio 2, and Salvatore Tucci 2 1 Università di Roma La Sapienza, Via Salaria 113-00198 Roma, Italy, [email protected]
Akamai s EdgePlatform for Application Acceleration
Akamai s EdgePlatform for Application Acceleration Transform the Internet into a Business-Ready Application Delivery Platform Fast Enterprise Applications, No Hardware Required Table of Contents Overview...................................................
