By Reaz Ahmed, Raouf Boutaba
ISBN-10: 3319038060
ISBN-13: 9783319038063
ISBN-10: 3319038079
ISBN-13: 9783319038070
Cloud-based ideas for on-line garage, backup, and sharing of multimedia content material over the internet have inherent privateness perils. clients need to placed their belief at the cloud-service companies. carrier prone dictate the phrases of utilization, and almost certainly achieve keep watch over over clients’ contents. Beside the privateness obstacle, transporting large volumes of user-generated, multimedia content material to far-off facts facilities will not be bandwidth pleasant for unpopular contents. A peer-to-peer (P2P) Web-based content material sharing structure can subside those difficulties. This e-book investigates the demanding situations in P2P internet hosting and offers a possible resolution named pWeb. 3 significant demanding situations were addressed in pWeb: (a) power naming of internet contents over non-persistent P2P networks, (b) decentralized websites looking out and disbursed rating of seek effects, and (c) making sure content material availability with minimum replication overhead. pWeb will let loose webhosting of web sites and multimedia net contents, with no challenge on content material sort or dimension. this can supply anyone the chance to post to the loads, instead of limiting them via economics. furthermore, freedom of speech is a valued precept besides the fact that all over the world there are various who try to dam entry to sure details. The disbursed process of pWeb is inherently immune to censorship, and may aid to unfold this freedom around the globe. 1 advent 1.1 value of P2P website hosting 1.2 demanding situations 1.2.1 Naming 1.2.2 P2P internet seek 1.2.3 making sure content material Availability 1.3 association References 2 Plexus: Routing and Indexing 2.1 center options in Plexus 2.2 Plexus Routing 2.3 utilizing Plexus in pWeb References 3Naming 3.1 necessities 3.2 Who wishes a reputation 3.3 Naming in Peer-to-Peer structures 3.3.1 dossier Sharing structures 3.3.2 BitTorrent 3.3.3 P2P DNS . 3.4 A Collaborative Naming Scheme 3.4.1 Entities and standards 3.4.2 pWeb Naming method 3.4.3 Naming Scheme 3.4.4 Naming Authority 3.4.5 identify answer 3.4.6 tools for choosing net identity 3.5 precis References four Collaborative net seek 4.1 requisites 4.2 net seek in P2P Networks 4.2.1 comparable key-phrase seek 4.2.2 allotted Relevance rating 4.3 A Collaborative procedure 4.3.1 community structure 4.3.2 Indexing structure 4.3.3 Resolving net question 4.4 precis References five Availability 5.1 specifications 5.2 Availability in P2P platforms 5.3 Conceptual assessment 5.3.1 structure 5.3.2 Availability Vector 5.4 S-DATA Protocol information 5.4.1 Terminology 5.4.2 Indexing Availability details 5.4.3 workforce Formation 5.4.4 team upkeep 5.4.5 content material Indexing and look up
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ACM. 7. V. Ramasubramanian and E. G. Sirer. Beehive: O(1)lookup performance for power-law query distributions in peer-to-peer overlays. In Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation – Volume 1, NSDI’04, pages 8–8, Berkeley, CA, USA, 2004. USENIX Association. 8. I. Stoica, D. Adkins, S. Zhuang, S. Shenker, and S. Surana. Internet indirection infrastructure. SIGCOMM Comput. Commun. , 32(4):73–86, 2002. Chapter 4 Collaborative Web Search Internet is the largest repository of documents that mankind has ever created.
No restriction on the mapping of a d-dimensional point to a 1-dimensional key space (required for Chord) has been specified. An advertisement is registered to the peer responsible for the d-bit advertisement vector. A query vector (say Q) is computed in the same manner as the advertisement vector. A query is routed to the peers in the Chord ring that are responsible for a key (say Pi ) that is a superset of the query vector Q. The work by Joung et al. [10] and the inverted indexing method presented in [14] represent the two extremes of advertisement and query traffic trade off.
Tsoumakos and N. Roussopoulos. Adaptive probabilistic search for Peer-to-Peer networks. 2003. 30. Y. Wang and D. DeWitt. Computing pagerank in a distributed internet search system. In Proc. VLDB, volume 30, pages 420–431, 2004. 31. J. Wu and K. Aberer. Using siterank for decentralized computation of web document ranking. In AH, pages 265–274, 2004. References 43 32. J. Wu and K. Aberer. Using a Layered Markov Model for Distributed Web Ranking Computation. In Proc. ICDCS, pages 533–542, Jun. 2005.