Distributed Resource Discovery in Sub-Logarithmic Time

Haeupler, Bernhard; Malkhi, Dahlia

doi:10.1145/2767386.2767435

Cited by 2 publications

(1 citation statement)

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“…for distributed database maintenance among processes) has also been studied in dynamic topologies, either randomly generated at each round of calls in Karp et al [19], or when processes (with bounded contact lists) exchange contacts in messages -see Eugster et al [6] for a survey. Haeupler et al [11] propose an efficient algorithm for the gossiping of agents' numbers only (i.e. addresses), also called the resource discovery problem.…”

Section: Related Workmentioning

confidence: 99%

Epistemic protocols for dynamic gossip

Ditmarsch

Eijck

Pardo

et al. 2017

Journal of Applied Logic

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A gossip protocol is a procedure for spreading secrets among a group of agents, using a connection graph. In each call between a pair of connected agents, the two agents share all the secrets they have learnt. In dynamic gossip problems, dynamic connection graphs are enabled by permitting agents to spread as well the telephone numbers of other agents they know. This paper characterizes different distributed epistemic protocols in terms of the (largest) class of graphs where each protocol is successful, i.e. where the protocol necessarily ends up with all agents knowing all secrets.

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Section: Related Workmentioning

confidence: 99%

Epistemic protocols for dynamic gossip

Ditmarsch

Eijck

Pardo

et al. 2017

Journal of Applied Logic

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Simple, Fast and Deterministic Gossip and Rumor Spreading

Haeupler

2015

J. ACM

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We study gossip algorithms for the rumor spreading problem, which asks each node to deliver a rumor to all nodes in an unknown network. Gossip algorithms allow nodes only to call one neighbor per round and have recently attracted attention as message efficient, simple, and robust solutions to the rumor spreading problem.A long series of papers analyzed the performance of uniform random gossip in which nodes repeatedly call a random neighbor to exchange all rumors with. A main result of this line of work was that uniform gossip completes in O( log n Φ ) rounds where Φ is the conductance of the network. More recently, non-uniform random gossip schemes were devised to allow efficient rumor spreading in networks with bottlenecks. In particular, STOC'12] gave an O(log 3 n) algorithm to solve the 1-local broadcast problem in which each node wants to exchange rumors locally with its 1-neighborhood. By repeatedly applying this protocol, one can solve the global rumor spreading quickly for all networks with small diameter, independently of the conductance.All these algorithms are inherently randomized in their design and analysis. A parallel research direction has been to reduce and determine the amount of randomness needed for efficient rumor spreading. This has been done via lower bounds for restricted models and by designing gossip algorithms with a reduced need for randomness, e.g., by using pseudorandom generators with short random seeds. The general intuition and consensus of these results has been that randomization plays a important role in effectively spreading rumors and that at least a polylogarithmic number of random bit are crucially needed.In this paper we improves over this state of the art in several ways by presenting a deterministic gossip algorithm that solves the the k-local broadcast problem in 2(k + log n) log n rounds 1 . Besides being the first efficient deterministic solution to the rumor spreading problem this algorithm is interesting in many aspects: It is simpler, more natural, more robust, and faster than its randomized pendant and guarantees success with certainty instead of with high probability. Its analysis is furthermore simple, self-contained, and fundamentally different from prior works. * The conference version of this paper was published in the ACM-SIAM Symposium for Discrete Algorithms [18] where it won a best student paper award.1 Throughout this paper log x denotes log 2 x , that is, the rounded up binary logarithm.

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Distributed Resource Discovery in Sub-Logarithmic Time

Cited by 2 publications

References 23 publications

Epistemic protocols for dynamic gossip

Epistemic protocols for dynamic gossip

Simple, Fast and Deterministic Gossip and Rumor Spreading

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