MPI-INF Logo
Campus Event Calendar

Event Entry

What and Who

Fast Random Walks on Overlay Networks

Paresh Nakhe
IIT Madras – India
PhD Application Talk

Master of Technology
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI  
Public Audience
English

Date, Time and Location

Monday, 10 February 2014
10:50
90 Minutes
E1 4
024
Saarbrücken

Abstract

Random walks are a fundamental concept which finds use in numerous applications both in computer science and elsewhere. They are most commonly used for sampling in distributed networks to introduce randomization. Given the scale and nature of networks in today’s world, it is indispensable to come up with more efficient ways to perform random walks. In this work, we focus on overlay networks in which nodes may communicate with each other either using the communication links on overlay network or it may use the underlying infrastructure network. We refer to this as the direct communication model. This work is an attempt to explore this model and find advantages of it over other existing models.

Our major contribution in this work is a rigorous framework for constructing random walks of length log n in a network of n nodes in small enough number of rounds. We establish this framework on both static and dynamic networks. For static networks, we propose an algorithm that constructs polylog(n) number of random walks per node in O(log log n) rounds. We show that the algorithm can be extended to work with high probability in a dynamic environment subject to high adversarial churn rate, albeit for a smaller number of nodes.
We demonstrate the effectiveness of this framework by designing a more efficient algorithm for information dissemination than the current state of the art. Specifically, we show that the problem can be solved in O(n / log^t n) where t>0 is a constant.

Contact

--email hidden
passcode not visible
logged in users only

Aaron Alsancak, 02/06/2014 10:41 -- Created document.