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Abstract. We study the straggler identification problem, in which an algorithm must determine the identities of the remaining members of a set after it has had a large number of insertion and deletion operations performed on it, and now has relatively few remaining members. The goal is to do this in o(n) space, where n is the total number of identities. Straggler identification has applications, for example, in determining the unacknowledged packets in a high-bandwidth multicast data stream. We provide a deterministic solution to the straggler identification problem that uses only O(d log n) bits, based on a novel application of Newton’s identities for symmetric polynomials. This solution can identify any subset of d stragglers from a set of n O(log n)-bit identifiers, assuming that there are no false deletions of identities not already in the set. Indeed, we give a lower bound argument that shows that any small-space deterministic solution to the straggler identification problem cannot be guaranteed to handle false deletions. Nevertheless, we provide a simple randomized solution using O(d log nlog(1/ǫ)) bits that can maintain a multiset and solve the straggler identification problem, tolerating false deletions, where ǫ> 0 is a user-defined parameter bounding the probability of an incorrect response. This randomized solution is based on a new type of Bloom filter, which we call the invertible Bloom filter.

Topics:
straggler identification, Newton’s identities, Bloom filters, data streams

Publisher: 2013-08-03

Year: 2011

OAI identifier:
oai:CiteSeerX.psu:10.1.1.311.1260

Provided by:
CiteSeerX

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