Content Delivery Networks (CDN) Caching Principles, Architecture, and Resource Optimization Scott Wainner, Distinguished SE BRKSPV-2160

Total Page:16

File Type:pdf, Size:1020Kb

Content Delivery Networks (CDN) Caching Principles, Architecture, and Resource Optimization Scott Wainner, Distinguished SE BRKSPV-2160 #CLUS Content Delivery Networks (CDN) Caching Principles, Architecture, and Resource Optimization Scott Wainner, Distinguished SE BRKSPV-2160 #CLUS Cisco Webex Teams Questions? Use Cisco Webex Teams (formerly Cisco Spark) to chat with the speaker after the session How 1 Find this session in the Cisco Events App 2 Click “Join the Discussion” 3 Install Webex Teams or go directly to the team space 4 Enter messages/questions in the team space Webex Teams will be moderated cs.co/ciscolivebot# BRKSPV-2160 by the speaker until June 18, 2018. #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 3 Agenda • Caching Principles • Caching Value Proposition Models • Content Delivery Functions • Content Delivery of Media Services • Platform Optimization and Management • Enabling Cloud Content Delivery #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 4 Objectives • Understand Principles of Caching • Understand System Architecture and Role of CDN • Distinguish Impact of Service Delivery Models • Assess Characteristics of Resource Optimization Content Caching Principles Relevance Many Media Types and Purposes • Commercial Video • Imagery • Production Training / Education Systems • Marketing / Mass Communication Systems • Notification Information Distribution • Telemetry Distribution to Subscribers • Software Distribution #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 7 Content Distribution Principles Efficiency Performance Resiliency #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 8 Content Distribution Architectural Models • Hierarchical • Distribution Tree from Origin C C • Often associated with an Authoritative Source • Tightly controlled distribution policies C • Peer to peer • Distributed Hash Table model C C C • Content can be cached anywhere • Appropriate in fully meshed topologies • Multiple sources C C C #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 9 Metadata Live Media Live ABR traffic System Architecture Video Control VOD Media VOD ABR traffic Content Management Offer Management Authentication Product Bundles Entitlement Catalog Personalization Live EPG And Navigation Workflows Policy Billing VoD IMDb Catalog Creation Digital Rights Offers Subscriptions Entitlement & Image Tags Asset Management Policy Session Management Session Control Policy Management Video Control Plane Clients Data Plane Credentials Transcoding Origin Servers Content Delivery Content Distribution Streams Live Live Origin Servers Mid-Tier Edge On Cache Cache VOD Origin Servers Images Demand Software Authorization Video Storage Cache Cache & Assignment Content Acquisition Our Focus Today #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 10 CDN Systems Architecture Published Internet Content Content Programming Centralized Content, Command and Control, Traffic Traffic Ingest, Routing Ops Content Library and Analytics (Origin) Routing, & Management Hierarchy of Origination, Mid-Tier and Edge Caching Traffic (Optional) Servers Management Plane, Caching Layer Content Routing Plane, Content Delivery Plane Traffic Optimized Resiliency Defined Servers Edge Cache at each Tier Cost Optimized Platform Selection Entertainment Services Entertainment Services Off-Net On-Net #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 11 Content Caching Techniques CDN - Introduction to Dynamic Caching • Concepts • CDN is a “Proxy” for Origin Content Delivery Network Servers • Redirecting clients to CDN Location Requests Traffic Routing Location Redirects • CDN Functional Cache Mid-Tier Edge Origin Content Content Elements Servers Cache Content Cache Requests Requests Requests Ingest • “Traffic Routing” Redirection Cache-Fill • “Origin Server” Library Cache Cache Streams • “Traffic Server” Caching Content Storage Storage • “Traffic Server” Edge Cache Library #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 13 CDN – Implementation Considerations • Storage Considerations Caching Characterization • Live Media (Finite Window) • VoD Media (Natural Expiration) • Cloud DVR (No Caching) Input Output • Content Affinity Cache-Fill or Ingest • Localization Cache-Fill • Mobile Main memory or Edge Cache • Pre-positioned Solid state disk • Mapping Methodology • File Handle in URL Spinning disk • Byte Offset in URL • Retention / Eviction Algorithms • Least Recently Used • First In / First Out • Metadata (Algorithmic Expiration) #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 14 HTTP Caching Transparent Caching • RFC2616 HTTP/1.1 Origin • RFC 6585 Status Codes Server • RFC 2817 TLS • RFC 5785 Well-Known URI Internet get ([email protected]) • RFC 6266 Content-Disposition • Cache Types Intercept Transparent x x • Transparent Caches Cache • Proxy Caches get ([email protected]) #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 15 Transparent Caching • Unauthorized Intercept Catalog Origin Server 1 • Non Monetized • Dynamic Interpretation of Request Item: x GET Location (fqdn-y) • HTTP GET Analysis Internet ([email protected]) 2 • Authentication or Encryption Interference Item (x, Location (fqdn-y)) 6 STOP7 • Authentication • Token or HASH Validation Corrupted 5 Intercept • Payload Encryption Transparent x x Cache • (e.g. Media Headers, Opaque Objects) • Transport Encryption STOP8 4 9 • (e.g. TLS, SPDR) get ([email protected]) 3 DNS Location (fqdn-y.com) #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 16 HTTP Caching • RFC2616 HTTP/1.1 Proxy Caching • Origin RFC 6585 Status Codes Server • RFC 2817 TLS get ([email protected]) • RFC 5785 Well-Known URI • RFC 6266 Content-Disposition • Cache Types Rewrite • Transparent Caches Proxy z y Cache • Proxy Caches get ([email protected]) #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 17 Proxy Caching Origin Server Catalog • Authorized Delegation 1 • Explicit Interpretation Provided to Cache Item ([email protected]) 6 Item ([email protected]) • Optimized Payload is Known a priori get ([email protected]) 3 • Authentication or Encryption Viable 2 Location: • Authenticators Validated and (fqdn-a.com fqdn-b.com) Recalculated Proxy Cache • Tokens, HASH fqdn-a fqdn-b • Private Keys Shared • Payload Remains Encrypted • Substitution of Opaque Payload get ([email protected]) • Transport Encryption 5 • Public Certificates Exchanged DNS 4 FQDN (fqdn-a) #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 18 CDN Caching Basics Origin Server Catalog • Authorized Delegation 1 • Explicit Interpretation Provided to Item ([email protected]) Cache get ([email protected]) Item ([email protected]) 9 3 • Authentication or Encryption Viable CDN Traffic 2 • Redirection to Optimal Location Server Asset Mapping (Cache) ( [email protected] [email protected]) • Cache Hit Ratio Traffic 8 Router get ([email protected]) • Distributed Edge Traffic Server • Edge Cache (Caching) • Intermediate Layer 7 • Reverse Proxy Cache get ([email protected]) GET ([email protected]) 5 Redirect ([email protected]) 6 cdn.com DNS 4 #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 19 CDN Value Proposition Content Caching Principles Cost Optimized Costs Cache Costs Bandwidth Costs Cache Hit Rates Caching Sites Cost Inflection Point Content Popularity #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 21 Content Popularity Content Popularity Often Characterized by Zipf’s Law Library Described by Alpha (α) Each Library is Unique • Old Movies • Current Hits Views • Music Videos • Sports Highlights • TV Series Top 100 Bottom 100 Titles ranked by Demand Cache #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 22 Contributing Factors • CHR of Content Types • ABR more difficult to predict than for PDL • Cache Fill Traffic • Temporary content renewal Different Nodal • Triggered by revalidation • First Fill Request Cache Hit Rates !!! • Eviction • Popularity Profile • Least Recently Used • Topology Considerations • Hierarchical Caching gains • Geographical Content Affinity #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 23 Nodal Cache Hit Rates Content Requests • Probability of a Cache Hit 2 5 13 2/2 = PCHR 100% • Probability of a Nodal Cache Miss PCM = 1- PCHR • Node A Cache Miss Origin 3/5 = PCHRa = 3/5 = 0.60 or 60% 60% PCMa = 1 – 0.60 = 0. 4 New Content / Cache • Node B Cache Miss Unpopular Content (a) 8/13 = 61.6% PCHRb = 8/13 = 0.616 or 61.6% Some Popular Content Cache PCMb= 1 – 0.616 = 0.384 Very Popular Content (b) #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 24 System Cache Hit Rates Content Requests 2 5 13 • Probability of System Cache Miss 2/2 P = P * P SCM CMa CMb = • System Cache Miss Example 100% PCHRa = 3/5 = 0.60 or 60% P = 1 – 0.60 = 0. 4 CMa Origin 3/5 PCHRb = 8/13 = 0.616 or 61.6% = 60% PCMb= 1 – 0.616 = 0.384 Cache (a) 8/13 PSCM = 0.4 * 0.384 = 0.154 = 15.4% = • System Cache Hit Rate = 1- 15.4% = 84.6% 62% Cache (b) #CLUS BRKSPV-2160 © 2018 Cisco and/or its affiliates. All rights reserved. Cisco Public 25 Caching Cost : Bandwidth Cost Demand Contributions / Cache-fill Bandwidth Costs Source Data Network Network Access Home Center Core Edge Network Network #CLUS BRKSPV-2160 © 2018
Recommended publications
  • Uila Supported Apps
    Uila Supported Applications and Protocols updated Oct 2020 Application/Protocol Name Full Description 01net.com 01net website, a French high-tech news site. 050 plus is a Japanese embedded smartphone application dedicated to 050 plus audio-conferencing. 0zz0.com 0zz0 is an online solution to store, send and share files 10050.net China Railcom group web portal. This protocol plug-in classifies the http traffic to the host 10086.cn. It also 10086.cn classifies the ssl traffic to the Common Name 10086.cn. 104.com Web site dedicated to job research. 1111.com.tw Website dedicated to job research in Taiwan. 114la.com Chinese web portal operated by YLMF Computer Technology Co. Chinese cloud storing system of the 115 website. It is operated by YLMF 115.com Computer Technology Co. 118114.cn Chinese booking and reservation portal. 11st.co.kr Korean shopping website 11st. It is operated by SK Planet Co. 1337x.org Bittorrent tracker search engine 139mail 139mail is a chinese webmail powered by China Mobile. 15min.lt Lithuanian news portal Chinese web portal 163. It is operated by NetEase, a company which 163.com pioneered the development of Internet in China. 17173.com Website distributing Chinese games. 17u.com Chinese online travel booking website. 20 minutes is a free, daily newspaper available in France, Spain and 20minutes Switzerland. This plugin classifies websites. 24h.com.vn Vietnamese news portal 24ora.com Aruban news portal 24sata.hr Croatian news portal 24SevenOffice 24SevenOffice is a web-based Enterprise resource planning (ERP) systems. 24ur.com Slovenian news portal 2ch.net Japanese adult videos web site 2Shared 2shared is an online space for sharing and storage.
    [Show full text]
  • Informed Content Delivery Across Adaptive Overlay Networks
    Informed Content Delivery Across Adaptive Overlay Networks John Byers Jeffrey Considine Michael Mitzenmacher Stanislav Rost [email protected] [email protected] [email protected] [email protected] Dept. of Computer Science EECS MIT Laboratory for Boston University Harvard University Computer Science Boston, Massachusetts Cambridge, Massachusetts Cambridge, Massachusetts Abstract Categories and Subject Descriptors C.2 [Computer Systems Organization]: Computer- Overlay networks have emerged as a powerful and highly flexible Communication Networks method for delivering content. We study how to optimize through- put of large transfers across richly connected, adaptive overlay net- General Terms works, focusing on the potential of collaborative transfers between Algorithms, Measurement, Performance peers to supplement ongoing downloads. First, we make the case for an erasure-resilient encoding of the content. Using the digital Keywords fountain encoding approach, end-hosts can efficiently reconstruct Overlay, peer-to-peer, content delivery, digital fountain, erasure ¡ the original content of size ¡ from a subset of any symbols drawn correcting code, min-wise summary, Bloom filter, reconciliation, from a large universe of encoded symbols. Such an approach af- collaboration. fords reliability and a substantial degree of application-level flex- ibility, as it seamlessly accommodates connection migration and 1 Introduction parallel transfers while providing resilience to packet loss. How- ever, since the sets of encoded symbols acquired by peers during Consider the problem of distributing a large new file across a downloads may overlap substantially, care must be taken to enable content delivery network of several thousand geographically dis- them to collaborate effectively. Our main contribution is a collec- tributed machines.
    [Show full text]
  • Instart Logic TWITTER LINKEDIN
    Instart Logic TWITTER LINKEDIN MOBILE VIDEO AND APPS WEBSITE Who we are Our advantage Instart Logic is a platform designed to make the delivery of It is a fully responsive platform, offering both flexibility and websites and applications fast, secure and easy. It’s the world’s control. It provides: first endpoint-aware application delivery solution. Performance – Helps improve site-wide performance, especially on mobile through image, code and network Instart’s intelligent architecture provides a new way to optimisation techniques. accelerate web and mobile application performance, based on the user’s specific device, browser, and network conditions. Ad Security – Ability to recover lost advertising revenue from ad-blockers. This new breed of technology goes beyond a traditional Security – Helps protect from harmful bots that flood the site, content delivery network (CDN) to enable businesses to deliver skew data and warp search algorithms and shield from rapid customer-centric website and mobile application Distributed Denial of Service (DDoS), brute-force entry, and experiences. other cyber attacks Agility – Use a DevOps first infrastructure allowed for self-sufficient management and deployment of new content and applications throughout network. Our partnership How does our solution work? Telstra will be using Instart Logic to optimise, monetise and AppSpeed: Instart Logic’s endpoint-aware application delivery deliver managed websites and web applications. Those that are solution provides a new way to accelerate web and mobile application performance. It’s intelligent architecture optimises currently on trial include: images, HTML, JavaScript and other page elements based on • Australian Football League (AFL) each user’s specific device, browser, and network conditions.
    [Show full text]
  • A Peer-To-Peer Internet Measurement Platform and Its Applications in Content Delivery Networks
    A PEER-TO-PEER INTERNET MEASUREMENT PLATFORM AND ITS APPLICATIONS IN CONTENT DELIVERY NETWORKS BY SIPAT TRIUKOSE Submitted in partial fulfillment of the requirements for the degree of Doctor Of Philosophy DISSERTATION ADVISOR: DR. MICHAEL RABINOVICH DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE CASE WESTERN RESERVE UNIVERSITY JANUARY 2014 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the dissertation of SIPAT TRIUKOSE candidate for the Doctor of Philosophy degree *. MICHAEL RABINOVICH TEKIN OZSOYOGLU SHUDONG JIN VIRA CHANKONG MARK ALLMAN (date) December 1st, 2010 *We also certify that written approval has been obtained for any proprietary material contained therein. Contents List of Tables . vi List of Figures . ix List of Abbreviations . x Abstract . xi 1 Introduction 1 1.1 Internet Measurements . 1 1.2 Content Delivery Network (CDN) . 4 1.2.1 Akamai and Limelight . 6 1.2.2 Coral . 7 1.3 Outline . 7 1.4 Acknowledgement . 9 2 Related Work 10 2.1 On-demand Network Measurements . 10 2.2 Content Delivery Network (CDN) Research . 12 2.2.1 Performance Assessment . 12 2.2.2 Security . 13 2.2.3 Performance Improvement . 14 3 DipZoom: Peer-to-Peer Internet Measurement Platform 17 3.1 System Overview . 17 i 3.2 The DipZoom Measuring Point (MP) . 21 3.2.1 MP-Loader, MP-Class, and MP Configurations . 25 3.2.2 Authentication . 30 3.2.3 Keep Alive . 37 3.2.4 Measurement . 39 3.3 The DipZoom Client and API . 43 3.4 Security . 44 3.5 Performance . 47 3.5.1 Scalability: Measuring Point Fan-Out .
    [Show full text]
  • Content Distribution in P2P Systems Manal El Dick, Esther Pacitti
    Content Distribution in P2P Systems Manal El Dick, Esther Pacitti To cite this version: Manal El Dick, Esther Pacitti. Content Distribution in P2P Systems. [Research Report] RR-7138, INRIA. 2009. inria-00439171 HAL Id: inria-00439171 https://hal.inria.fr/inria-00439171 Submitted on 6 Dec 2009 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE Content Distribution in P2P Systems Manal El Dick — Esther Pacitti N° 7138 Décembre 2009 Thème COM apport de recherche ISSN 0249-6399 ISRN INRIA/RR--7138--FR+ENG Content Distribution in P2P Systems∗ Manal El Dick y, Esther Pacittiz Th`emeCOM | Syst`emescommunicants Equipe-Projet´ Atlas Rapport de recherche n° 7138 | D´ecembre 2009 | 63 pages Abstract: The report provides a literature review of the state-of-the-art for content distribution. The report's contributions are of threefold. First, it gives more insight into traditional Content Distribution Networks (CDN), their re- quirements and open issues. Second, it discusses Peer-to-Peer (P2P) systems as a cheap and scalable alternative for CDN and extracts their design challenges. Finally, it evaluates the existing P2P systems dedicated for content distribution according to the identified requirements and challenges.
    [Show full text]
  • Toolkit on Environmental Sustainability for the ICT Sector Toolkit September 2012
    !"#"$%&&'()$*+%(,-."/0%1,-*(2- -------!"#"&*+$,-3*4%1*/%15- .*+%(*#-7(/"1A6()B"1,)/5-C%(,%1+'&- D%1-!"#"$%&&'()$*+%(,-- 6.789:;7!<-=9>37-;!6=7-=7- >9.?8@- Toolkit on environmental sustainability for the ICT !"#"$%&&'()$*+%(,-."/0%1,-*(2- -------!"#"&*+$,-3*4%1*/%15- !"#"$%&&'()$*+%(,-."/0%1,-*(2- sector -------!"#"&*+$,-3*4%1*/%15- .*+%(*#-7(/"1A6()B"1,)/5.*+%(*#-7(/"1A-C%(,%1+'&- 6()B"1,)/5-C%(,%1+'&- D%1-!"#"$%&&'()$*+%(,D%1---!"#"$%&&'()$*+%(,-- 6.789:;7!<-=9>37-;!6=7-=7-6.789:;7!<-=9>37-;!6=7-=7- >9.?8@- >9.?8@- Toolkit on environmental sustainability for the ICT sector Toolkit September 2012 About ITU-T and Climate Change: itu.int/ITU-T/climatechange/ Printed in Switzerland Geneva, 2012 E-mail: [email protected] Photo credits: Shutterstock® itu.int/ITU-T/climatechange/ess Acknowledgements This toolkit was developed by ITU-T with over 50 organizations and ICT companies to establish environmental sustainability requirements for the ICT sector. This toolkit provides ICT organizations with a checklist of sustainability requirements; guiding them in efforts to improve their eco-efficiency, and ensuring fair and transparent sustainability reporting. The toolkit deals with the following aspects of environmental sustainability in ICT organizations: sustainable buildings, sustainable ICT, sustainable products and services, end of life management for ICT equipment, general specifications and an assessment framework for environmental impacts of the ICT sector. The authors would like to thank Jyoti Banerjee (Fronesys) and Cristina Bueti (ITU) who gave up their time to coordinate all comments received and edit the toolkit. Special thanks are due to the contributory organizations of the Toolkit on Environmental Sustainability for the ICT Sector for their helpful review of a prior draft.
    [Show full text]
  • (CDN) Federations How Sps Can Win the Battle for Content-Hungry Consumers
    Point of View Content Delivery Network (CDN) Federations How SPs Can Win the Battle for Content-Hungry Consumers By Scott Puopolo, Marc Latouche, François Le Faucheur, and Jaak Defour As consumers demand ever-greater amounts of high-quality content over the Internet, service providers (SPs) are finding it difficult to increase revenues while containing costs. This is due mainly to two trends: (1) over-the-top (OTT) content providers have outsourced the delivery of content to pure-play content delivery network (CDN) companies, and (2) traffic growth (with no resulting revenue benefit) is increasing network build-out and maintenance costs for SPs. In response to these challenges, many SPs began to utilize CDNs within their own networks. The initial focus was to reduce content-transport costs and improve the quality of content delivery to their own customers. Over time, individual SPs started offering CDN services to OTT content providers as a way to earn extra income from the content flowing over their networks. While this approach has helped, results have been limited. As demand for content continues to increase worldwide, OTTs would rather work with fewer individual companies for the delivery of their content. Given this situation, SPs are now exploring the potential of CDN federations, which the Cisco® Internet Business Solutions Group (IBSG) defines as multi-footprint, open CDN capabilities built from resources owned and operated by autonomous members. CDN federations benefit SPs, content providers, and consumers: ● SPs can lower costs by pooling their resources ● Content providers can reduce business complexity by dealing with fewer companies ● Consumers receive better quality of service (QoS) Given the clear benefits of this approach, Cisco is involved in a number of CDN-related initiatives to accelerate the move to CDN federations.
    [Show full text]
  • Reliable Streaming Media Delivery
    WHITE PAPER Reliable Streaming Media Delivery www.ixiacom.com 915-1777-01 Rev B January 2014 2 Table of Contents Overview ................................................................................................................ 4 Business Trends ..................................................................................................... 6 Technology Trends ................................................................................................. 7 Building in Reliability .............................................................................................. 8 Ixia’s Test Solutions ............................................................................................... 9 Streaming Media Test Scenarios ........................................................................... 11 Conclusion .............................................................................................................13 3 Overview Streaming media is an evolving set of technologies that deliver multimedia content over the Internet and private networks. A number of service businesses are dedicated to streaming media delivery, including YouTube, Brightcove, Vimeo, Metacafe, BBC iPlayer, and Hulu. Streaming video delivery is growing dramatically: according to the comScore Video Metrix1, Americans viewed a significantly higher number of videos in 2009 than in 2008 (up 19%) due to both increased content consumption and the growing number of video ads delivered. In January of 2010, more than 170 million viewers watched videos
    [Show full text]
  • AT&T Content Delivery Network
    Product Brief AT&T Content Delivery Network Accelerate, optimize, and help protect your apps and content Today, we are seeing massive growth in the To improve performance, AT&T CDN offers: Potential Benefits number of users, devices, apps, and sources • Mobile optimization of content that rely on the Web for delivery of • Lower capital investments and data, images, apps, and video. • Dynamic site acceleration on-going costs To meet this demand, today and tomorrow, • Dynamic Site Acceleration for • Front-end optimization speeding dynamic, personalized we need to accelerate the delivery of content to end users digital assets – from web page content and Improve media delivery services • Rapid delivery of digital assets for applications to movies, live events, and large Streaming video, live or on-demand, is an software and media files. We also need to higher customer satisfaction and increasingly important component of many engagement optimize and personalize those assets for businesses. With AT&T Content Delivery • Reduced site abandonment growing volumes of mobile users who want Network, you have a service and a partner to view and interact with rich content from to help coordinate, support, and manage a • Powerful management and reporting tools to control anywhere, using any device. library of pre-existing video or live events that resources, enforce policies and In short, we need to deliver a flexible, demand optimized streaming to ensure the increase value best possible viewing experience. responsive, and engaging web experience to • Support for IPv6 without attract and keep customer attention, loyalty, To improve media delivery, AT&T CDN offers: upgrading your website and business.
    [Show full text]
  • Installation and Operation Guide
    HELO H.264 Streaming and Recording Encoder Installation and Operation Guide Version 4.0 Published May 24, 2019 Notices Trademarks AJA® and Because it matters.® are registered trademarks of AJA Video Systems, Inc. for use with most AJA products. AJA™ is a trademark of AJA Video Systems, Inc. for use with recorder, router, software and camera products. Because it matters.™ is a trademark of AJA Video Systems, Inc. for use with camera products. CION®, Corvid Ultra®, lo®, Ki Pro®, KONA®, KUMO®, ROI® and T-Tap® are registered trademarks of AJA Video Systems, Inc. AJA Control Room™, KiStor™, Science of the Beautiful™, TruScale™, TruZoom™, V2Analog™ and V2Digital™ are trademarks of AJA Video Systems, Inc. All other trademarks are the property of their respective owners. Copyright Copyright © 2019 AJA Video Systems, Inc. All rights reserved. All information in this manual is subject to change without notice. No part of the document may be reproduced or transmitted in any form, or by any means, electronic or mechanical, including photocopying or recording, without the express written permission of AJA Video Systems, Inc. Contacting AJA Support When calling for support, have all information at hand prior to calling. To contact AJA for sales or support, use any of the following methods: Telephone +1.530.271.3190 FAX +1.530.271.3140 Web https://www.aja.com Support Email [email protected] Sales Email [email protected] HELO H.264 Streaming and Recording Encoder v4.0 2 www.aja.com Contents Notices . .2 Trademarks . 2 Copyright . 2 Contacting AJA Support . 2 Chapter 1 – Introduction . .5 Overview.
    [Show full text]
  • Design and Analysis of Adaptive Caching Techniques for Internet Content Delivery
    Dissertation Design and Analysis of Adaptive Caching Techniques for Internet Content Delivery Thesis approved by the Department of Computer Science of the University of Kaiserslautern (TU Kaiserslautern) for the award of the Doctoral Degree Doctor of Engineering (Dr.-Ing.) to Daniel S. Berger Date of the viva : June 8, 2018 Dean : Prof. Dr. Stefan Deßloch PhD committee Chair : Prof. Dr. Pascal Schweitzer Reviewers : Prof. Dr. Jens B. Schmitt Prof. Dr. Florin Ciucu (University of Warwick) Prof. Dr. Mor Harchol-Balter (Carnegie Mellon University) D 386 Abstract Fast Internet content delivery relies on two layers of caches on the request path. Firstly, content delivery networks (CDNs) seek to answer user requests before they traverse slow Internet paths. Secondly, aggregation caches in data centers seek to answer user requests before they traverse slow backend systems. The key challenge in managing these caches is the high variability of object sizes, request patterns, and retrieval latencies. Unfortunately, most existing literature focuses on caching with low (or no) variability in object sizes and ignores the intricacies of data center subsystems. This thesis seeks to fill this gap with three contributions. First, we design a new caching system, called AdaptSize, that is robust under high object size variability. Sec- ond, we derive a method (called Flow-Offline Optimum or FOO) to predict the optimal cache hit ratio under variable object sizes. Third, we design a new caching system, called RobinHood, that exploits variances in retrieval latencies to deliver faster responses to user requests in data centers. The techniques proposed in this thesis significantly improve the performance of CDN and data center caches.
    [Show full text]
  • Resource Allocation and Task Scheduling Optimization in Cloud- Based Content Delivery Networks with Edge Computing
    Southern Methodist University SMU Scholar Engineering Management, Information, and Engineering Management, Information, and Systems Research Theses and Dissertations Systems Fall 12-2019 Resource Allocation and Task Scheduling Optimization in Cloud- Based Content Delivery Networks with Edge Computing Yang Peng Southern Methodist University, [email protected] Follow this and additional works at: https://scholar.smu.edu/engineering_managment_etds Part of the Digital Communications and Networking Commons, Operational Research Commons, Systems and Communications Commons, and the Systems Engineering Commons Recommended Citation Peng, Yang, "Resource Allocation and Task Scheduling Optimization in Cloud-Based Content Delivery Networks with Edge Computing" (2019). Engineering Management, Information, and Systems Research Theses and Dissertations. 6. https://scholar.smu.edu/engineering_managment_etds/6 This Dissertation is brought to you for free and open access by the Engineering Management, Information, and Systems at SMU Scholar. It has been accepted for inclusion in Engineering Management, Information, and Systems Research Theses and Dissertations by an authorized administrator of SMU Scholar. For more information, please visit http://digitalrepository.smu.edu. RESOURCE ALLOCATION AND TASK SCHEDULING OPTIMIZATION IN CLOUD-BASED CONTENT DELIVERY NETWORKS WITH EDGE COMPUTING Approved by: Dr. Richard Barr Dr. Eli Olinick Dr. Jeff Tian Dr. Harsha Gangammanavar Dr. John Medellin RESOURCE ALLOCATION AND TASK SCHEDULING OPTIMIZATION IN CLOUD-BASED CONTENT
    [Show full text]