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| Content Provider | ACM Digital Library |
|---|---|
| Author | Schmid, Stefan Locher, Thomas Kuhn, Fabian |
| Abstract | This paper studies the problem of computing the most frequent element (the mode) by means of a distributed algorithm where the elements are located at the nodes of a network. Let k denote the number of distinct elements and further let $m_{i}$ be the number of occurrences of the element $e_{i}$ in the ordered list of occurrences $m_{1}m_{2}≥$ . ≥ $m_{k}.$ We give a deterministic distributed algorithm with time complexity O(D+k) where D denotes the diameter of the graph, which is essentially tight. As our main contribution, a Monte Carlo algorithm is presented which computes the mode in O(D + $F_{2}/m_{1}^{2}*log$ k) time with high probability, where the frequency moment $F_{t}$ is defined as $F_{t}$ = $sum_{i=1}^{k}$ $m_{i}^{t}.$ This algorithm is substantially faster than the deterministic algorithm for various relevant frequency distributions. Moreover, we provide a lower bound of $Omega(D+F_{5}/(m_{1}^{5}B)),$ where B is the maximum message size, that captures the effect of the frequency distribution on the time complexity to compute the mode. |
| Starting Page | 15 |
| Ending Page | 24 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781595939890 |
| DOI | 10.1145/1400751.1400756 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-08-18 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Aggregation Mode Most frequent element Distributed algorithms |
| Content Type | Text |
| Resource Type | Article |
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