Peer-To-Peer Networking and Applications: Synopsis and Research Directions
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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. -
Simulacijski Alati I Njihova Ograničenja Pri Analizi I Unapređenju Rada Mreža Istovrsnih Entiteta
SVEUČILIŠTE U ZAGREBU FAKULTET ORGANIZACIJE I INFORMATIKE VARAŽDIN Tedo Vrbanec SIMULACIJSKI ALATI I NJIHOVA OGRANIČENJA PRI ANALIZI I UNAPREĐENJU RADA MREŽA ISTOVRSNIH ENTITETA MAGISTARSKI RAD Varaždin, 2010. PODACI O MAGISTARSKOM RADU I. AUTOR Ime i prezime Tedo Vrbanec Datum i mjesto rođenja 7. travanj 1969., Čakovec Naziv fakulteta i datum diplomiranja Fakultet organizacije i informatike, 10. listopad 2001. Sadašnje zaposlenje Učiteljski fakultet Zagreb – Odsjek u Čakovcu II. MAGISTARSKI RAD Simulacijski alati i njihova ograničenja pri analizi i Naslov unapređenju rada mreža istovrsnih entiteta Broj stranica, slika, tablica, priloga, XIV + 181 + XXXVIII stranica, 53 slike, 18 tablica, 3 bibliografskih podataka priloga, 288 bibliografskih podataka Znanstveno područje, smjer i disciplina iz koje Područje: Informacijske znanosti je postignut akademski stupanj Smjer: Informacijski sustavi Mentor Prof. dr. sc. Željko Hutinski Sumentor Prof. dr. sc. Vesna Dušak Fakultet na kojem je rad obranjen Fakultet organizacije i informatike Varaždin Oznaka i redni broj rada III. OCJENA I OBRANA Datum prihvaćanja teme od Znanstveno- 17. lipanj 2008. nastavnog vijeća Datum predaje rada 9. travanj 2010. Datum sjednice ZNV-a na kojoj je prihvaćena 18. svibanj 2010. pozitivna ocjena rada Prof. dr. sc. Neven Vrček, predsjednik Sastav Povjerenstva koje je rad ocijenilo Prof. dr. sc. Željko Hutinski, mentor Prof. dr. sc. Vesna Dušak, sumentor Datum obrane rada 1. lipanj 2010. Prof. dr. sc. Neven Vrček, predsjednik Sastav Povjerenstva pred kojim je rad obranjen Prof. dr. sc. Željko Hutinski, mentor Prof. dr. sc. Vesna Dušak, sumentor Datum promocije SVEUČILIŠTE U ZAGREBU FAKULTET ORGANIZACIJE I INFORMATIKE VARAŽDIN POSLIJEDIPLOMSKI ZNANSTVENI STUDIJ INFORMACIJSKIH ZNANOSTI SMJER STUDIJA: INFORMACIJSKI SUSTAVI Tedo Vrbanec Broj indeksa: P-802/2001 SIMULACIJSKI ALATI I NJIHOVA OGRANIČENJA PRI ANALIZI I UNAPREĐENJU RADA MREŽA ISTOVRSNIH ENTITETA MAGISTARSKI RAD Mentor: Prof. -
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. -
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. -
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 . -
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. -
Distributed Lookup: Part 1: Distributed Hash Tables
CS 417 – DISTRIBUTED SYSTEMS Week 9: Distributed Lookup: Part 1: Distributed Hash Tables © 2021 Paul Krzyzanowski. No part of this content, may be reproduced or reposted in Paul Krzyzanowski whole or in part in any manner without the permission of the copyright owner. Distributed Lookup • Store (key, value) data Object Storage • Look up a key to get the value • Cooperating set of nodes store data • Ideally: – No central coordinator • Peer-to-peer system: all systems have the same capabilities – Some nodes can be down CS 417 © 2021 Paul Krzyzanowski 2 Approaches 1. Central coordinator – Napster 2. Flooding – Gnutella 3. Distributed hash tables – CAN, Chord, Amazon Dynamo, Tapestry, … CS 417 © 2021 Paul Krzyzanowski 3 1. Central Coordinator • Example: Napster – Central directory – Identifies content (names) and the servers that host it – lookup(name) → {list of servers} – Download from any of available servers • Pick the best one by pinging and comparing response times • Another example: GFS – Controlled environment compared to Napster – Content for a given key is broken into chunks – Master handles all queries … but not the data CS 417 © 2021 Paul Krzyzanowski 4 1. Central Coordinator - Napster • Pros – Super simple – Search is handled by a single server (master) – The directory server is a single point of control • Provides definitive answers to a query • Cons – Master has to maintain state of all peers – Server gets all the queries – The directory server is a single point of control • No directory, no service! CS 417 © 2021 Paul Krzyzanowski 5 2. Query Flooding • Example: Gnutella distributed file sharing • Each node joins a group – but only knows about some group members – Well-known nodes act as anchors – New nodes with files inform an anchor about their existence – Nodes use other nodes they know about as peers CS 417 © 2021 Paul Krzyzanowski 6 2. -
Title: P2P Networks for Content Sharing
Title: P2P Networks for Content Sharing Authors: Choon Hoong Ding, Sarana Nutanong, and Rajkumar Buyya Grid Computing and Distributed Systems Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia (chd, sarana, raj)@cs.mu.oz.au ABSTRACT Peer-to-peer (P2P) technologies have been widely used for content sharing, popularly called “file-swapping” networks. This chapter gives a broad overview of content sharing P2P technologies. It starts with the fundamental concept of P2P computing followed by the analysis of network topologies used in peer-to-peer systems. Next, three milestone peer-to-peer technologies: Napster, Gnutella, and Fasttrack are explored in details, and they are finally concluded with the comparison table in the last section. 1. INTRODUCTION Peer-to-peer (P2P) content sharing has been an astonishingly successful P2P application on the Internet. P2P has gained tremendous public attention from Napster, the system supporting music sharing on the Web. It is a new emerging, interesting research technology and a promising product base. Intel P2P working group gave the definition of P2P as "The sharing of computer resources and services by direct exchange between systems". This thus gives P2P systems two main key characteristics: • Scalability: there is no algorithmic, or technical limitation of the size of the system, e.g. the complexity of the system should be somewhat constant regardless of number of nodes in the system. • Reliability: The malfunction on any given node will not effect the whole system (or maybe even any other nodes). File sharing network like Gnutella is a good example of scalability and reliability. -
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. -
CS 417 29 October 2018 Paul Krzyzanowski 1
CS 417 29 October 2018 Distributed Lookup • Look up (key, value) • Cooperating set of nodes Distributed Systems • Ideally: – No central coordinator 16. Distributed Lookup – Some nodes can be down Paul Krzyzanowski Rutgers University Fall 2018 October 29, 2018 © 2014-2018 Paul Krzyzanowski 1 October 29, 2018 © 2014-2018 Paul Krzyzanowski 2 Approaches 1. Central Coordinator 1. Central coordinator • Example: Napster – Napster – Central directory – Identifies content (names) and the servers that host it 2. Flooding – lookup(name) → {list of servers} – Download from any of available servers – Gnutella • Pick the best one by pinging and comparing response times 3. Distributed hash tables • Another example: GFS – CAN, Chord, Amazon Dynamo, Tapestry, … – Controlled environment compared to Napster – Content for a given key is broken into chunks – Master handles all queries … but not the data October 29, 2018 © 2014-2018 Paul Krzyzanowski 3 October 29, 2018 © 2014-2018 Paul Krzyzanowski 4 1. Central Coordinator - Napster 2. Query Flooding • Pros • Example: Gnutella distributed file sharing – Super simple – Search is handled by a single server (master) – The directory server is a single point of control • Well-known nodes act as anchors • Provides definitive answers to a query – Nodes with files inform an anchor about their existence – Nodes select other nodes as peers • Cons – Master has to maintain state of all peers – Server gets all the queries – The directory server is a single point of control • No directory, no service! October 29, 2018 © -
Download Times, Bandwidth and Energy Consumption in the Network, Internet Bandwidth Cost, and Traffic Load Imbalance in the Network
Content Sharing and Distribution in Wireless Community Networks by Amr Alasaad B.Sc., King Saud University, 2000 M.Sc., The University of Southern California, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Electrical and Computer Engineering) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) April 2013 c Amr Alasaad 2013 Abstract We consider the problem of content sharing and distribution in a wireless mesh community network (WMCN). Due to the community oriented nature of such networks, and with the evolution of advanced mobile computing devices; it is projected that the demand for content sharing and distribution in wireless community networks will dramatically increase in the coming years. A popular scheme for content sharing and distribution is through the use of Peer-to-Peer (P2P) technology. This dissertation studies the technical challenges involved while deploying P2P applications over WMCNs. We advance the thesis that support from a number of infrastructure nodes in a wire- less community network to P2P applications running on top of the wireless community network such as P2P content sharing and P2P media streaming, results in significant performance enhancement. Such support from infrastructure nodes benefits from aware- ness of the underlying network topology (i.e., information available at relay nodes about the true physical connections between nodes in the network). Cross-layer information exchange between the P2P system and the WMCN opens the door to developing efficient algorithms and schemes for P2P communications that account for the specific features of WMCNs (e.g., contention for wireless medium between neighbouring nodes and traffic in- terference). -
(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.