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Add proposal 161: computing bandwidth adjustments
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@ -81,6 +81,7 @@ Proposals by number:
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158 Clients download consensus + microdescriptors [OPEN]
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159 Exit Scanning [OPEN]
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160 Authorities vote for bandwidth offsets in consensus [OPEN]
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161 Computing Bandwidth Adjustments [OPEN]
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Proposals by status:
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@ -103,6 +104,7 @@ Proposals by status:
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158 Clients download consensus + microdescriptors
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159 Exit Scanning
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160 Authorities vote for bandwidth offsets in consensus [for 0.2.2.x]
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161 Computing Bandwidth Adjustments [for 0.2.2.x]
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ACCEPTED:
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110 Avoiding infinite length circuits [for 0.2.1.x] [in 0.2.1.3-alpha]
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117 IPv6 exits [for 0.2.1.x]
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115
doc/spec/proposals/161-computing-bandwidth-adjustments.txt
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115
doc/spec/proposals/161-computing-bandwidth-adjustments.txt
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Title: Computing Bandwidth Adjustments
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Filename: 161-computing-bandwidth-adjustments.txt
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Author: Mike Perry
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Created: 12-May-2009
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Target: 0.2.2.x
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Status: Open
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1. Motivation
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There is high variance in the performance of the Tor network. Despite
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our efforts to balance load evenly across the Tor nodes, some nodes are
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significantly slower and more overloaded than others.
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Proposal 160 describes how we can augment the directory authorities to
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vote on measured bandwidths for routers. This proposal describes what
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goes into the measuring process.
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2. Measurement Selection
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The general idea is to determine a load factor representing the ratio
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of the capacity of measured nodes to the rest of the network. This load
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factor could be computed from three potentially relevant statistics:
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circuit failure rates, circuit extend times, or stream capacity.
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Circuit failure rates and circuit extend times appear to be
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non-linearly proportional to node load. We've observed that the same
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nodes when scanned at US nighttime hours (when load is presumably
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lower) exhibit almost no circuit failure, and significantly faster
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extend times than when scanned during the day.
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Stream capacity, however, is much more uniform, even during US
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nighttime hours. Moreover, it is a more intuitive representation of
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node capacity, and also less dependent upon distance and latency
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if amortized over large stream fetches.
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2. Average Stream Bandwidth Calculation
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The average stream bandwidths are obtained by dividing the network
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into 3% slices according to advertised node bandwidth, yielding
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about 45 nodes per slice in the current network.
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Two hop circuits are built using nodes from the same slice, and a large
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file is downloaded via these circuits. This process is repeated
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several hundred times, and average stream capacities are assigned to
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each node from these results.
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3. Ratio Calculation Options
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There are two options for deriving the ratios themselves. They can
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be obtained by dividing each nodes' average stream capacity by
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either the average for the slice, or the average for the network as a
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whole.
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Dividing by the network-wide average has the advantage that it will
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account for issues related to unbalancing between higher vs lower
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capacity, such as Steven Murdoch's queuing theory weighting result.
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Dividing by the slice average has the advantage that many scans can
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be run in parallel from a single authority, and that results are
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typically available sooner after a given scan takes place.
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3. Ratio Filtering
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After the base ratios are calculated, a second pass is performed
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to remove any streams with nodes of ratios less than X=0.5 from
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the results of other nodes. In addition, all outlying streams
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with capacity of one standard deviation below a node's average
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are also removed.
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The final ratio result will be calculated as the maximum of
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these two resulting ratios if both are less than 1.0, the minimum
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if both are greater than 1.0, and the mean if one is greater
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and one is less than 1.0.
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4. Security implications
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The ratio filtering will deal with cases of sabotage by dropping
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both very slow outliers in stream average calculations, as well
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as dropping streams that used very slow nodes from the calculation
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of other nodes.
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This scheme will not address nodes that try to game the system by
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providing better service to scanners. The scanners can be detected
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at the entry by IP address, and at the exit by the destination fetch.
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Measures can be taken to obfuscate and separate the scanners' source
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IP address from the directory authority IP address. For instance,
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scans can happen offsite and the results can be rsynced into the
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authorities. The destination fetch can also be obscured by using SSL
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and periodically changing the large document that is fetched.
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Neither of these methods are foolproof, but such nodes can already
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lie about their bandwidth to attract more traffic, so this solution
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does not set us back any in that regard.
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4. Integration with Proposal 160
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The final results will be produced for the voting mechanism
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described in Proposal 160 by multiplying the derived ratio by
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the average observed advertised bandwidth during the course of the
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scan. This will produce a new bandwidth value that will be
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output into a file consisting of lines of the form:
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<node-idhex> SP new_bandwidth NL
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This file can be either copied or rsynced into a directory readable
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by the directory authority.
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