Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks
We show that randomization can lead to significant improvements for a few fundamental problems in distributed tracking. Our basis is the count-tracking problem, where there are k players, each holding a counter n i that gets incremented over time, and the goal is to track an ε -approximation of thei...
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| Vydáno v: | Algorithmica Ročník 81; číslo 6; s. 2222 - 2243 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
Springer US
01.06.2019
Springer Nature B.V |
| Témata: | |
| ISSN: | 0178-4617, 1432-0541 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | We show that randomization can lead to significant improvements for a few fundamental problems in distributed tracking. Our basis is the
count-tracking
problem, where there are
k
players, each holding a counter
n
i
that gets incremented over time, and the goal is to track an
ε
-approximation of their sum
n
=
∑
i
n
i
continuously at all times, using minimum communication. While the deterministic communication complexity of the problem is
Θ
(
k
/
ε
·
log
N
)
, where
N
is the final value of
n
when the tracking finishes, we show that with randomization, the communication cost can be reduced to
Θ
(
k
/
ε
·
log
N
)
. Our algorithm is simple and uses only
O
(1) space at each player, while the lower bound holds even assuming each player has infinite computing power. Then, we extend our techniques to two related distributed tracking problems:
frequency-tracking
and
rank-tracking
, and obtain similar improvements over previous deterministic algorithms. Both problems are of central importance in large data monitoring and analysis, and have been extensively studied in the literature. |
|---|---|
| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 0178-4617 1432-0541 |
| DOI: | 10.1007/s00453-018-00531-y |