Peer-To-Peer Systems: Taxonomy and Characteristics 1B
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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 -
HPE Storeopen Standalone for Microsoft Windows User Guide
HPE StoreOpen Standalone for Microsoft Windows User Guide Abstract This guide provides information about HPE StoreOpen Standalone for Microsoft Windows, which is an implementation of the Linear Tape file system (LTFS) to present an LTO-5, LTO-6, and LTO-7 tape drive and media as a disk volume, accessed via a drive letter. Part Number: EH969-90980 Published: July 2016 Edition: 1 © Copyright 2012, 2016 Hewlett Packard Enterprise Development Company LP Confidential computer software. Valid license from Hewlett Packard Enterprise required for possession, use or copying. Consistent with FAR 12.211 and 12.212, Commercial Computer Software, Computer Software Documentation, and Technical Data for Commercial Items are licensed to the U.S. Government under vendor's standard commercial license. The information contained herein is subject to change without notice. The only warranties for Hewlett Packard Enterprise products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. Hewlett Packard Enterprise shall not be liable for technical or editorial errors or omissions contained herein. Links to third-party websites take you outside the Hewlett Packard Enterprise website. Hewlett Packard Enterprise has no control over and is not responsible for information outside HPE.com. Acknowledgements Microsoft®, Windows®, Windows® 7, Windows Vista®, Windows® 8, and Windows Server® are trademarks of the Microsoft group of companies. Linear -
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. -
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. -
A Generic Integrity Verification Algorithm of Version Files for Cloud Deduplication Data Storage Guangwei Xu*†, Miaolin Lai, Jing Li†,Lisun† and Xiujin Shi
Xu et al. EURASIP Journal on Information Security (2018) 2018:12 EURASIP Journal on https://doi.org/10.1186/s13635-018-0083-x Information Security RESEARCH Open Access A generic integrity verification algorithm of version files for cloud deduplication data storage Guangwei Xu*†, Miaolin Lai, Jing Li†,LiSun† and Xiujin Shi Abstract Data owners’ outsourced data on cloud data storage servers by the deduplication technique can reduce not only their own storage cost but also cloud’s. This paradigm also introduces new security issues such as the potential threat of data lost or corrupted. Data integrity verification is utilized to safeguard these data integrity. However, the cloud deduplication storage only focuses on file/chunk level to store one copy of the same data hosted by different data owners, and is not concerned with the same part of different data, e.g., a series of version files. We propose an integrity verification algorithm of different version files. The algorithm establishes the generic storage model of different version control methods to improve the universality of data verification. Then, the methods of verification tags and proofs generating are improved based on the index pointers corresponding to the storage relationship in the version groups and chained keys. Finally, the random diffusion extraction based on the random data sampling in the version group is proposed to improve the verification efficiency. The results of theoretical and experimental analysis indicate that the algorithm can achieve fast and large-scale verification for different version data. Keywords: Data integrity verification, Version file storage, Version group, Random diffusion extraction 1 Introduction These misgivings have prompted the data owners to worry With the rapid development of the cloud computing, whether the outsourced data are intact or corrupted cloud storage as a new generation of computing infras- on the remote servers since they are deprived of the tructure has received more and more attention. -
Download File Management and Processing Tools
File Management and Processing Tools Published January 2018 CONTACT US Division of Library, Archives and Museum Collections | [email protected] File Management and Processing Tools Contents Introduction ................................................................................................................................................................................... 3 Bulk operations ............................................................................................................................................................................. 3 Duplicate file finding and deduplication ......................................................................................................................................... 4 Disk space analysis....................................................................................................................................................................... 4 Image viewer ................................................................................................................................................................................. 5 Integrity checking .......................................................................................................................................................................... 5 Last Updated January 2018 2 Introduction This guidance document provides a list of software tools that can assist in electronic file management and processing. This document is intended for records managers at state agencies, -
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. -
Workflow Experts, from Acquisition to Archive – We’Ve Got Your Back(Up)!
Workflow experts, from acquisition to archive – we’ve got your back(up)! Version 2020.1, Released January 2020, Indianapolis, Indiana USA [email protected] www.imagineproducts.com ShotPut Pro® for Windows Contents Preface 3 Legal Copyright License Welcome 5 Overview Preferences 9 General Preferences Queue Options File Verification 15 Notifications 17 Reports 21 Offload History 23 Advanced Preferences Offloading 27 Offloading Simple and Preset Modes Folder Naming Options Advanced Folder Naming 35 Begin Offloading Offload Status and Details Drive Details Appendix 38 Appendix A— Installation 40 Appendix B— Troubleshooting Frequently Asked Questions Technical Support 42I Index n d e x 2 ShotPut Pro® for Windows Legal Copyright Documentation Version 8.2 for Windows, copyright © 2019 Imagine Products, Incorporated. All rights reserved. This documentation and the software accompanying it are the property of Imagine Products, Incorporated and are loaned to the user under the terms of a Limited Use License Agreement. Unauthorized copying or use of this documentation, the software, or any associated material is contrary to the property rights of Imagine Products Incorporated and is a violation of state and federal law. This material must be returned to Imagine Products, Incorporated upon request. ShotPut Pro® for Windows copyright © 2008-2019 Imagine Products, Incorporated. ShotPut Pro® is a registered federal trademark Reg. No. 5,757,782. Imagine Products, Inc. ® is a registered federal trademark Reg. No. 4,711,231. PreRoll Post is a trademarK of Imagine Products, Incorporated. Offload with Confidence! and Imagine: We’ve Got Your BacK(up)! are service marks of Imagine Products, Incorporated. Portions of this application use certain unmodified FFmpeg libraries under the LGPLv2.1 licensing. -
Secure Login for SAP Single Sign-On Implementation Guide Company
PUBLIC SAP Single Sign-On 3.0 SP02 Document Version: 1.9 – 2020-03-17 Secure Login for SAP Single Sign-On Implementation Guide company. All rights reserved. All rights company. affiliate THE BEST RUN 2020 SAP SE or an SAP SE or an SAP SAP 2020 © Content 1 Introduction to Secure Login.................................................. 10 2 System Overview............................................................11 2.1 Cryptographic Library for SAP Single Sign-On........................................12 2.2 Clients for Authentication...................................................... 12 Authentication Methods of Secure Login Client.....................................12 Authentication Methods of Secure Login Web Client................................. 13 2.3 System Overview with Secure Login Server..........................................13 2.4 PKI Structure...............................................................14 Out-of-the-Box PKI Login Server............................................... 14 PKI Integration............................................................14 2.5 Secure Communication........................................................15 2.6 Policy Server Overview.........................................................16 2.7 Digital Signing with Secure Store and Forward (SSF)....................................17 2.8 Authentication Profiles.........................................................17 3 Basic Scenarios............................................................ 18 3.1 Environment Using Secure -
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.