Designs and Analyses in Structured Peer-To-Peer Systems
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Compsci 514: Computer Networks Lecture 13: Distributed Hash Table
CompSci 514: Computer Networks Lecture 13: Distributed Hash Table Xiaowei Yang Overview • What problems do DHTs solve? • How are DHTs implemented? Background • A hash table is a data structure that stores (key, object) pairs. • Key is mapped to a table index via a hash function for fast lookup. • Content distribution networks – Given an URL, returns the object Example of a Hash table: a web cache http://www.cnn.com0 Page content http://www.nytimes.com ……. 1 http://www.slashdot.org ….. … 2 … … … • Client requests http://www.cnn.com • Web cache returns the page content located at the 1st entry of the table. DHT: why? • If the number of objects is large, it is impossible for any single node to store it. • Solution: distributed hash tables. – Split one large hash table into smaller tables and distribute them to multiple nodes DHT K V K V K V K V A content distribution network • A single provider that manages multiple replicas. • A client obtains content from a close replica. Basic function of DHT • DHT is a virtual hash table – Input: a key – Output: a data item • Data Items are stored by a network of nodes. • DHT abstraction – Input: a key – Output: the node that stores the key • Applications handle key and data item association. DHT: a visual example K V K V (K1, V1) K V K V K V Insert (K1, V1) DHT: a visual example K V K V (K1, V1) K V K V K V Retrieve K1 Desired properties of DHT • Scalability: each node does not keep much state • Performance: look up latency is small • Load balancing: no node is overloaded with a large amount of state • Dynamic reconfiguration: when nodes join and leave, the amount of state moved from nodes to nodes is small. -
Cisco SCA BB Protocol Reference Guide
Cisco Service Control Application for Broadband Protocol Reference Guide Protocol Pack #60 August 02, 2018 Cisco Systems, Inc. www.cisco.com Cisco has more than 200 offices worldwide. Addresses, phone numbers, and fax numbers are listed on the Cisco website at www.cisco.com/go/offices. THE SPECIFICATIONS AND INFORMATION REGARDING THE PRODUCTS IN THIS MANUAL ARE SUBJECT TO CHANGE WITHOUT NOTICE. ALL STATEMENTS, INFORMATION, AND RECOMMENDATIONS IN THIS MANUAL ARE BELIEVED TO BE ACCURATE BUT ARE PRESENTED WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. USERS MUST TAKE FULL RESPONSIBILITY FOR THEIR APPLICATION OF ANY PRODUCTS. THE SOFTWARE LICENSE AND LIMITED WARRANTY FOR THE ACCOMPANYING PRODUCT ARE SET FORTH IN THE INFORMATION PACKET THAT SHIPPED WITH THE PRODUCT AND ARE INCORPORATED HEREIN BY THIS REFERENCE. IF YOU ARE UNABLE TO LOCATE THE SOFTWARE LICENSE OR LIMITED WARRANTY, CONTACT YOUR CISCO REPRESENTATIVE FOR A COPY. The Cisco implementation of TCP header compression is an adaptation of a program developed by the University of California, Berkeley (UCB) as part of UCB’s public domain version of the UNIX operating system. All rights reserved. Copyright © 1981, Regents of the University of California. NOTWITHSTANDING ANY OTHER WARRANTY HEREIN, ALL DOCUMENT FILES AND SOFTWARE OF THESE SUPPLIERS ARE PROVIDED “AS IS” WITH ALL FAULTS. CISCO AND THE ABOVE-NAMED SUPPLIERS DISCLAIM ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING, WITHOUT LIMITATION, THOSE OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OR ARISING FROM A COURSE OF DEALING, USAGE, OR TRADE PRACTICE. IN NO EVENT SHALL CISCO OR ITS SUPPLIERS BE LIABLE FOR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, OR INCIDENTAL DAMAGES, INCLUDING, WITHOUT LIMITATION, LOST PROFITS OR LOSS OR DAMAGE TO DATA ARISING OUT OF THE USE OR INABILITY TO USE THIS MANUAL, EVEN IF CISCO OR ITS SUPPLIERS HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. -
Peer-To-Peer Systems
Peer-to-Peer Systems Winter semester 2014 Jun.-Prof. Dr.-Ing. Kalman Graffi Heinrich Heine University Düsseldorf Peer-to-Peer Systems Unstructured P2P Overlay Networks – Unstructured Heterogeneous Overlays This slide set is based on the lecture "Communication Networks 2" of Prof. Dr.-Ing. Ralf Steinmetz at TU Darmstadt Unstructured Heterogeneous P2P Overlays Unstructured P2P Structured P2P Centralized P2P Homogeneous P2P Heterogeneous P2P DHT-Based Heterogeneous P2P 1. All features of 1. All features of 1. All features of 1. All features of 1. All features of Peer-to-Peer Peer-to-Peer Peer-to-Peer Peer-to-Peer Peer-to-Peer included included included included included 2. Central entity is 2. Any terminal 2. Any terminal 2. Any terminal 2. Peers are necessary to entity can be entity can be entity can be organized in a provide the removed without removed without removed hierarchical service loss of loss of without loss of manner 3. Central entity is functionality functionality functionality 3. Any terminal some kind of 3. ! no central 3. ! dynamic central 3. ! No central entity can be index/group entities entities entities removed without database 4. Connections in loss of functionality the overlay are Examples: “fixed” Examples: Examples: § Gnutella 0.6 Examples: Examples: § Napster § Gnutella 0.4 § Fasttrack § Chord • AH-Chord § Freenet § eDonkey § CAN • Globase.KOM § Kademlia from R.Schollmeier and J.Eberspächer, TU München HHU – Technology of Social Networks – JProf. Dr. Kalman Graffi – Peer-to-Peer Systems – http://tsn.hhu.de/teaching/lectures/2014ws/p2p.html -
A Fog Storage Software Architecture for the Internet of Things Bastien Confais, Adrien Lebre, Benoît Parrein
A Fog storage software architecture for the Internet of Things Bastien Confais, Adrien Lebre, Benoît Parrein To cite this version: Bastien Confais, Adrien Lebre, Benoît Parrein. A Fog storage software architecture for the Internet of Things. Advances in Edge Computing: Massive Parallel Processing and Applications, IOS Press, pp.61-105, 2020, Advances in Parallel Computing, 978-1-64368-062-0. 10.3233/APC200004. hal- 02496105 HAL Id: hal-02496105 https://hal.archives-ouvertes.fr/hal-02496105 Submitted on 2 Mar 2020 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. November 2019 A Fog storage software architecture for the Internet of Things Bastien CONFAIS a Adrien LEBRE b and Benoˆıt PARREIN c;1 a CNRS, LS2N, Polytech Nantes, rue Christian Pauc, Nantes, France b Institut Mines Telecom Atlantique, LS2N/Inria, 4 Rue Alfred Kastler, Nantes, France c Universite´ de Nantes, LS2N, Polytech Nantes, Nantes, France Abstract. The last prevision of the european Think Tank IDATE Digiworld esti- mates to 35 billion of connected devices in 2030 over the world just for the con- sumer market. This deep wave will be accompanied by a deluge of data, applica- tions and services. -
Diapositiva 1
TRANSFERENCIA O DISTRIBUCIÓN DE ARCHIVOS ENTRE IGUALES (peer-to-peer) Características, Protocolos, Software, Luis Villalta Márquez Configuración Peer-to-peer Una red peer-to-peer, red de pares, red entre iguales, red entre pares o red punto a punto (P2P, por sus siglas en inglés) es una red de computadoras en la que todos o algunos aspectos funcionan sin clientes ni servidores fijos, sino una serie de nodos que se comportan como iguales entre sí. Es decir, actúan simultáneamente como clientes y servidores respecto a los demás nodos de la red. Las redes P2P permiten el intercambio directo de información, en cualquier formato, entre los ordenadores interconectados. Peer-to-peer Normalmente este tipo de redes se implementan como redes superpuestas construidas en la capa de aplicación de redes públicas como Internet. El hecho de que sirvan para compartir e intercambiar información de forma directa entre dos o más usuarios ha propiciado que parte de los usuarios lo utilicen para intercambiar archivos cuyo contenido está sujeto a las leyes de copyright, lo que ha generado una gran polémica entre defensores y detractores de estos sistemas. Las redes peer-to-peer aprovechan, administran y optimizan el uso del ancho de banda de los demás usuarios de la red por medio de la conectividad entre los mismos, y obtienen así más rendimiento en las conexiones y transferencias que con algunos métodos centralizados convencionales, donde una cantidad relativamente pequeña de servidores provee el total del ancho de banda y recursos compartidos para un servicio o aplicación. Peer-to-peer Dichas redes son útiles para diversos propósitos. -
P2P Protocols
CHAPTER 1 P2P Protocols Introduction This chapter lists the P2P protocols currently supported by Cisco SCA BB. For each protocol, the following information is provided: • Clients of this protocol that are supported, including the specific version supported. • Default TCP ports for these P2P protocols. Traffic on these ports would be classified to the specific protocol as a default, in case this traffic was not classified based on any of the protocol signatures. • Comments; these mostly relate to the differences between various Cisco SCA BB releases in the level of support for the P2P protocol for specified clients. Table 1-1 P2P Protocols Protocol Name Validated Clients TCP Ports Comments Acestream Acestream PC v2.1 — Supported PC v2.1 as of Protocol Pack #39. Supported PC v3.0 as of Protocol Pack #44. Amazon Appstore Android v12.0000.803.0C_642000010 — Supported as of Protocol Pack #44. Angle Media — None Supported as of Protocol Pack #13. AntsP2P Beta 1.5.6 b 0.9.3 with PP#05 — — Aptoide Android v7.0.6 None Supported as of Protocol Pack #52. BaiBao BaiBao v1.3.1 None — Baidu Baidu PC [Web Browser], Android None Supported as of Protocol Pack #44. v6.1.0 Baidu Movie Baidu Movie 2000 None Supported as of Protocol Pack #08. BBBroadcast BBBroadcast 1.2 None Supported as of Protocol Pack #12. Cisco Service Control Application for Broadband Protocol Reference Guide 1-1 Chapter 1 P2P Protocols Introduction Table 1-1 P2P Protocols (continued) Protocol Name Validated Clients TCP Ports Comments BitTorrent BitTorrent v4.0.1 6881-6889, 6969 Supported Bittorrent Sync as of PP#38 Android v-1.1.37, iOS v-1.1.118 ans PC exeem v0.23 v-1.1.27. -
Peer-To-Peer Systems: Taxonomy and Characteristics 1B
IJCST VOL . 3, Iss UE 2, APR I L - JUNE 2012 ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print) Peer-to-Peer Systems: Taxonomy and Characteristics 1B. Lalitha, 2Dr. Ch. D. V. Subbarao 1Dept. of CSE, JNTUCE, Anantapur, AP, India 2Dept. of CSE, S.V University, Tirupathi, AP, India Abstract Various types of networks include: The limitations of client/server systems became a proof in large scale distributed systems for emerging of peer to peer systems, A. Centralized Networks which is the basis for decentralized distributed computing. In peer Centralized P2P protocols consist of a centralized file list. In this to peer model each node takes both the roles of client and server. model a user can send a query for a file to the centralized server. As a client, it can query and download its wanted data files from The server would then send back a list of peers that have the other nodes (peers) and as a server, it can provide data files to requested file. Once the user chooses which peer to download the other nodes. This paper provides the taxonomy of P2P systems file from the centralized would then facilitate the connection of gives an overview of structured and unstructured P2P systems, the peers then remove itself from the process as illustrated in Fig also discusses the characteristics and applications of peer to peer 1. Examples of centralized networks are Napster and eDonkey systems". in its early stages. Keywords Peer-To-Peer, Distributed Systems, Structured P2P, Unstructured P2P Systems. I. Introduction A Peer-to-Peer (P2P) computing or networking is a distributed application architecture that partitions tasks or workloads between peers. -
2.3 Blockchain
POLITECNICO DI TORINO Corso di Laurea Magistrale in Ingegneria Informatica - Data Science Tesi di Laurea Magistrale Supporting the portability of profiles using the blockchain in the Mastodon social network Relatore Candidato prof. Giovanni Squillero Alessandra Rossaro Anno Accademico 2018-2019 École polytechnique de Louvain Supporting the portability of profiles using the blockchain in the Mastodon social network Authors: Alessandra ROSSARO, Corentin SURQUIN Supervisors: Etienne RIVIERE, Ramin SADRE Readers: Lionel DRICOT, Axel LEGAY, Giovanni SQUILLERO Academic year 2018–2019 Master [120] in Computer Science Acknowledgements We would like to thank anyone who made the writing of this thesis possible, directly or indirectly. First of all, we would like to thank our supervisors, Prof. Etienne Riviere and Prof. Ramin Sadre for their continous support and advice during the year. We would never have gone this far without them. Secondly, we thank Lionel Dricot, Prof. Axel Legay and Prof. Giovanni Squillero for accepting to be the readers of this thesis. Alessandra First of all, I would like to thank my family, my parents Claudia and Alberto, my brother Stefano and my sister Eleonora, that from the beginning of my studies believed in me, every time urging me to give more and sustaining me each time that I had difficulties. They are my strength and I feel really lucky to have them in my life. Another thanks is to my friends, to Soraya, Beatrice, Sinto and Stefano and especially to Matteo and Edoardo that each time that I needed, remember me to believe in myself and don’t give up. Thank you, sincerely! I would like to thank also my partner, Corentin, because we were a great team, sometimes with some misunderstandings, but I appreciated to work at this project with him! Corentin I must express my deep gratitude to my family and friends for their moral support. -
Challenges in the Decentralised Web: the Mastodon Case∗
Challenges in the Decentralised Web: The Mastodon Case∗ Aravindh Raman1, Sagar Joglekar1, Emiliano De Cristofaro2;3, Nishanth Sastry1, and Gareth Tyson3;4 1King’s College London, 2University College London, 3Alan Turing Institute, 4Queen Mary University of London faravindh.raman,sagar.joglekar,[email protected], [email protected], [email protected] Abstract cols to let instances interact and aggregate their users to offer a globally integrated service. The Decentralised Web (DW) has recently seen a renewed mo- DW platforms intend to offer a number of benefits. For ex- mentum, with a number of DW platforms like Mastodon, Peer- ample, data is spread among many independent instances, thus Tube, and Hubzilla gaining increasing traction. These offer al- possibly making privacy-intrusive data mining more difficult. ternatives to traditional social networks like Twitter, YouTube, Data ownership is more transparent, and the lack of centralisa- and Facebook, by enabling the operation of web infrastruc- tion could make the overall system more robust against techni- ture and services without centralised ownership or control. cal, legal or regulatory attacks. Although their services differ greatly, modern DW platforms mostly rely on two key innovations: first, their open source However, these properties may also bring inherent chal- software allows anybody to setup independent servers (“in- lenges that are difficult to avoid, particularly when consid- stances”) that people can sign-up to and use within a local ering the natural pressures towards centralisation in both so- community; and second, they build on top of federation pro- cial [12, 49] and economic [42] systems. -
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. -
Investigating the User Behavior of Peer-To-Peer File Sharing Software
www.ccsenet.org/ijbm International Journal of Business and Management Vol. 6, No. 9; September 2011 Investigating the User Behavior of Peer-to-Peer File Sharing Software Shun-Po Chiu (Corresponding author) PhD candidate, Department of Information Management National Central University, Jhongli, Taoyuan, Taiwan & Lecture, Department of Information Management Vanung University, Jhongli, Taoyuan, Taiwan E-mail: [email protected] Huey-Wen Chou Professor, Department of Information Management National Central University, Jhongli, Taoyuan, Taiwan E-mail: [email protected] Received: March 26, 2011 Accepted: May 10, 2011 doi:10.5539/ijbm.v6n9p68 Abstract In recent years, peer-to-peer file sharing has been a hotly debated topic in the fields of computer science, the music industry, and the movie industry. The purpose of this research was to examine the user behavior of peer-to-peer file-sharing software. A methodology of naturalistic inquiry that involved qualitative interviews was used to collect data from 21 university students in Taiwan. The results of the study revealed that a substantial amount of P2P file-sharing software is available to users. The main reasons for using P2P file-sharing software are to save money, save time, and to access files that are no longer available in stores. A majority of respondents use P2P file-sharing software to download music, movies, and software, and the respondents generally perceive the use of such software as neither illegal nor unethical. Furthermore, most users are free-riders, which means that they do not contribute files to the sharing process. Keywords: Peer to peer, File sharing, Naturalistic inquiry 1. Introduction In recent years, Peer-to-Peer (P2P) network transmission technology has matured. -
Distributed Hash Tables CS6450: Distributed Systems Lecture 12
Distributed Hash Tables CS6450: Distributed Systems Lecture 12 Ryan Stutsman Material taken/derived from Princeton COS-418 materials created by Michael Freedman and Kyle Jamieson at Princeton University. Licensed for use under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. 1 Some material taken/derived from MIT 6.824 by Robert Morris, Franz Kaashoek, and Nickolai Zeldovich. Consistency models Linearizability Causal Eventual Sequential 2 Recall use of logical clocks • Lamport clocks: C(a) < C(z) Conclusion: None • Vector clocks: V(a) < V(z) Conclusion: a → … → z • Distributed bulletin board application • Each post gets sent to all other users • Consistency goal: No user to see reply before the corresponding original message post • Conclusion: Deliver message only after all messages that causally precede it have been delivered 3 Causal Consistency 1. Writes that are potentially P1 P2 P3 causally related must be seen by a all machines in same order. f b c 2. Concurrent writes may be seen d in a different order on different e machines. g • Concurrent: Ops not causally related Physical time ↓ Causal Consistency Operations Concurrent? P1 P2 P3 a, b N a f b, f Y b c c, f Y d e, f Y e e, g N g a, c Y a, e N Physical time ↓ Causal Consistency: Quiz Causal Consistency: Quiz • Valid under causal consistency • Why? W(x)b and W(x)c are concurrent • So all processes don’t (need to) see them in same order • P3 and P4 read the values ‘a’ and ‘b’ in order as potentially causally related.