By Gertjan Halkes, Johan Pouwelse (auth.), Jordi Domingo-Pascual, Pietro Manzoni, Sergio Palazzo, Ana Pont, Caterina Scoglio (eds.)
The two-volume set LNCS 6640 and 6641 constitutes the refereed court cases of the tenth overseas IFIP TC 6 Networking convention held in Valencia, Spain, in might 2011. The sixty four revised complete papers awarded have been rigorously reviewed and chosen from a complete of 294 submissions. The papers characteristic leading edge learn within the parts of purposes and companies, subsequent iteration net, instant and sensor networks, and community technology. the second one quantity contains 28 papers geared up in topical sections on peer-to-peer, pricing, source allocation, source allocation radio, source allocation instant, social networks, and TCP.
Read Online or Download NETWORKING 2011: 10th International IFIP TC 6 Networking Conference, Valencia, Spain, May 9-13, 2011, Proceedings, Part II PDF
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Additional resources for NETWORKING 2011: 10th International IFIP TC 6 Networking Conference, Valencia, Spain, May 9-13, 2011, Proceedings, Part II
A seeder can adapt different seeding algorithms to distribute file pieces to leechers. Each leecher follows the rate-based tit-for-tat (TFT) unchoking and LRF piece selection schemes . 1 A BitTorrent system consists of a tracker, seeders, and leechers; this is collectively referred to as a swarm. The tracker is both a bootstrap server, and a coordinator informing leechers of potential neighbors. Each peer can be either a leecher or a seeder. A leecher has an incomplete file and a seeder has the complete file.
Wang, and J. 4 6: find the tracker with maximal W = B − H 7: if the tracker is not checked and the total cost 8: after blocking this tracker is equal or less than β 12: then 9: remove this tracker from tracker list (this tracker is blocked) 10: update this information in Rtor,tra and Rtor,as . 12: else 13: mark this tracker as checked and goto 6 : 14: end if 15: end for 16: end while Fig. 4. The selective tracker blocking algorithm To this end, we design an algorithm that can improve the solution quality iteratively.
For instance, Sybil attackers may upload corrupted blocks of a piece, in return for being unchoked (TFT). Other blocks may be uploaded from other peers. When the piece signature fails verification, the leecher will not know which peer(s) provided false blocks. To tackle this problem, a block filter (BF ilter ) based on Bloom filtering  is used. The block filter is a summary of all blocks in the shared file. Figure 2(a) shows the creation steps for BF ilter . The original seeder hashes each block in the file with k hash functions, and marks the corresponding k bits in the filter.