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FRAMING PEER TO PEER FILE SHARING
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by Robb Topolski
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A Fact: A BitTorrent uploader transfers to only 3-4 peers at a time.
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Peer-to-peer (P2P) file-sharing applications are widely believed to strain
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access providers' upload links by uploading over hundreds of TCP
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connections. It is the basis incorporated in problem statements supporting
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extreme management methods. It is also a basis that escaped testing. The
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fact is that BitTorrent simultaneously uploads data over only 3 to 4 TCP
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connections.
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1. DEFLECTING ACCOUNTABILITY BY DEFLECTING RESPONSIBILITY TO OTHERS
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While the growing demand for upstream bandwidth among Internet users is
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nothing new, today's operators are claiming difficulty in dealing with the
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phenomena. I choose the word 'claiming' because technical conclusions
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require data and analysis, and insufficient data has been presented to be
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openly analyzed. I also ask the readers to read the word 'claiming' as
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neutral in tone, as no strong evidence is available to rebut providers'
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claims.
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Without providing data about this congestion, operators avoid the
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possibility that they themselves have issues bearing scrutiny. As a result,
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the latest debates skip analyzing congestion and advance to how and when to
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"throttle" the "bandwidth hogs," how to correct a congestion-control
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fairness imbalance between users, under what conditions network operators
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may inspect the payload of IP packets prior to forwarding them, and how to
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further assure routine availability for real-time applications.
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This puts technologists in a position of playing "Bring Me a Rock"; a game
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that never ends because someone is unhappy with the particular rock that is
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returned and requests a different rock be returned instead, meanwhile never
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adding any useful information to help the player choose the correct rock.
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Without data, we cannot tell if the problem of congestion is due to the
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failure of existing congestion-control algorithms, the addition of "smart"
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devices installed mid-network that are changing the normal behavior of
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packets, a sudden insurgence of aggressive or incorrect network decorum
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among applications, a QoS technique problem, or mismanaging the division
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of a shared resource among users. Data is also necessary to understand the
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size of a problem and under what conditions it occurs in order to
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accurately predict whether a proposed solution is likely to solve the
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problem.
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Today's problem has been framed as a P2P file-sharing problem. However,
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without congestion, applications do not contend for bandwidth and any of
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the technical solutions to efficiently share congested bandwidth become
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moot. Therefore, congestion itself must be a causal factor to include in
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theories about the problem. Data about causes must be gathered. In the
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past, the Internet community coped with congestion by dealing with
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congestion along with its external additives such as protocol efficiency.
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We should not allow today's congestion to escape a studied examination.
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Specifically, the Working Group should first gather data before reaching
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its problem statement. It should then test the problem statement to ensure
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it is accurate so that any solutions to be brought are accurate. If the
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data cannot or will not be made available, doing nothing at all would be
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better than continuing to hear "No, not that one. Bring me a different
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rock.
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2. ASSIGNING ACCOUNTABILITY AND RESPONSIBILITY WITHOUT CORRECT EVIDENCE
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A recent description of this problem, said:
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"[the] traditional management of fairness at the transport
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level has largely been circumvented by [P2P] applications
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designed to achieve the best end-user transfer rates"
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A renowned researcher explained the problem, saying:
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"Even though file-sharing generally uses TCP, it uses
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the well-known trick of opening multiple connections--
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currently around 100 actively transferring over different
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paths is not uncommon."
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It's tribal knowledge that P2P file-sharing applications open hundreds of
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connections, all active. This is a notion that has been repeated in
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technical blogs and shown as evidence to Members of Congress and the U.S.
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Federal Communication Commission as to the cause of the congestion bringing
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about the Network Neutrality debate. In as much as P2P file-sharing
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behavior is represented by its most-used protocols, namely BitTorrent,
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Gnutella, and ED2K, it is also false (or greatly misjudged).
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The unsubstantiated blaming of P2P for today's problems is only the first
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problem with the first line. The phrase, "traditional management of
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fairness," prejudges whether any "fairness" that congestion control
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algorithms accomplish are intended, or are they merely a side-effect of
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robust network-availability watchdog functions? The word "management"
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implies intent, and it is unlikely that extended terms of fairness was
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intended for a algorithm designed to keep congestion from bringing the
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Internet to a halt.
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Finally, the phrase, "designed to achieve the best end-user transfer
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rates", ignores the fact that the vast minority of Internet applications
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impose bandwidth limitations upon themselves. The normal behavior of
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network transports is to use any bandwidth that is available. Applications
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using these transports are generally blind to network conditions and
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cannot "speed up" or "slow down" based on signals that are not there.
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Instead, this is a function of symptoms and signals analyzed at the lower
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levels of the network stack.
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All of the top P2P file-sharing protocols that I have described access
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socket services through the same limited API set used by every other TCP
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application. In other words, P2P doesn't speak "in TCP," it only knows how
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to speak the O/S specific API commands - a limited command set that
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provides network services to all applications on the platform. Finally,
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such nefariousness on the part of a background application would defeat
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the use of other applications on a person's computer.
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The statements refer to BitTorrent (the #1 P2P file-sharing protocol on
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the Internet). They do not resemble behavior by ED2K (#2) or Gnutella (#3),
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both of which use a queuing system instead of a swarming method. A
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queuing system holds incoming requests for files while filling those
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requests only a very few at a time. In some parts of the world, a
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source-obfuscating generation of encrypted and overlaid P2P file-sharing
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applications is emerging including Freenet, Share, and others. I have not
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profiled the network behavior of these applications, but I believe that
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the authors of the above quotes were not focused on these applications,
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either. The chief suspect of these particular allegations is BitTorrent.
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3. FOCUSING SOLELY ON THE BEHAVIOR OF BITTORRENT
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Is the Problem Uploading? Downloading? Both?
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To perform a BitTorrent transfer of a file or set of files, the BitTorrent
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client connects to peers focused on the same file (called a 'swarm.'). The
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maximum number of connections to open is recommended to be somewhere in
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the neighborhood of 50-55 and nearly all BitTorrent clients install with a
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default maximum number of TCP connections that falls near this range.
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Within a few minutes of joining a typical swarm, many of these connections
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may be downloading.
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BitTorrent's first incarnations were realized in applications that
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transferred a single file (or a grouping of files behaving as one). For
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comparison purposes, this is analogous to transferring a single large file
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via FTP or HTTP. This is important, because many problem statements
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involving BitTorrent are made between BitTorrent involved in a file
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transfer versus a web browser fetching a web page, a VOIP app handling a
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call, and other dissimilar activities.
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One question to refine for the problem statement is whether multiple
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connections that are downloading are substantially contributing to any
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congestion problem today - or is any problem confined to how BitTorrent
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uploads? Indeed, some of the operator solutions proposed and imposed
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attempt to focus on the upload side, alone. While some solutions also
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focus on the downloading side as well, it is also an unanswered question
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as to whether their concern for doing so has more to do with congestion
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than it does controlling consumption and transit costs.
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When considering whether BitTorrent interferes with normal congestion
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control, it seems relevant that the uploading host is responsible for
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responding to the signs of network congestion. The downloading host has a
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lack of of insight and control. Being that the signal of congestion is a
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dropped packet (one that is not delivered) or a duplicated ACK, the
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downloading host receives no early indication of a problem.
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If downloading is found to contribute to the problem, it should be analyzed
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in the context that often none of these BitTorrent connections are
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downloading. After a node has collected all of the pieces in a swarm, it
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only uploads.
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Without data, I am not concluding that BitTorrent downloading activity has
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no bearing on this or any problem. However, it is quite possible that
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downloading via BitTorrent has a positive effect owing to its ability to
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route around congested paths while single-stream transfers have no such
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ability and must "power-through" a congested route until a transfer is
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completed.
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The Surprising Reason BitTorrent Uploads on Only 3-4 Connections
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Most indicators are that the congestion pressure on last-mile operators
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exists primarily in the uploading direction. These networks were designed
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several years ago, at a time when graphical interfaces and World-wide web
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browsers began to replace shell sessions and text-based networking tools.
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Indeed, the ratio of upload-to-download dial-up and fledgling high-speed
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bandwidth usage back then became the basis for planning the networks we are
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using today.
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Focusing on the upload side of the equation, the fact that BitTorrent
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clients are only uploading to 3-4 other peers per swarm - not hundreds - is
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probably the most relevant contradiction to the present analysis. This fact
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casts into doubt any conclusions made on the assumption that BitTorrent
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uploads across hundreds of connections.
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The primary reason that BitTorrent uses only 3-4 upload slots is to be a
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good network neighbor. As recorded in one instance of the specification,
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the Slot-and-Choking algorithm was a design decision to facilitate
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Congestion Control, among other things. This is the algorithm used by
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nearly all of the BitTorrent applications. .While concluding that it does
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so is beyond the scope of this paper, any analysis that BitTorrent does
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not facilitate congestion control deserves an explanation of how and why
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it fails - not an accusation that the protocol was somehow designed to
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trick the system out of bandwidth belonging to other network applications.
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As the popularity of the BitTorrent protocol increased, clients appeared
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that could handle multiple BitTorrent streams simultaneously. The popular
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examples of these clients contain similar per-task configurations
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(including uploading slot limitations) as their single-task predecessors:
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3-4 slots per swarm. A user running up to 3-4 simultaneous tasks is not
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unusual or inefficient, given today's last-mile upload speed allocations.
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This would mean that 12 to 16 upload slots may be simultaneously running
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at the most - and its HTTP analog is 3-4 individual uploads in different
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clients native to those protocols.
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4. FOCUSING ON THE PROBLEM
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In summary, I offer that an examination about how to deal with P2P
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file-sharing on a congested network should begin with examining the
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congested network and understanding the parameters and causes for that
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problem. In systems, problems are fixed as close to the source as
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possible. These are the least expensive solutions. We strive to fix root
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causes because, if fixed, this solves its effects.
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There are plenty of anecdotal reasons to blame BitTorrent for poor
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performance on a congested network, and there are plenty of anecdotal
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reasons to blame other causes -- none of which bearing repeating here.
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They, too, first require an analysis as to the root cause of the congestion.
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References:
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http://wiki.theory.org/BitTorrentSpecification
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http://www.bittorrent.org/
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