Abstract
In this paper we show how linear network coding can reduce the number of queries needed to retrieve one specific message among k distinct ones replicated across a large number of randomly accessed nodes storing one message each. Without network coding, this would require k queries on average. After proving that no scheme can perform better than a straightforward lower bound of 0:5k average queries, we propose and asymptotically evaluate, using mean field arguments, a few example practical schemes, the best of which attains 0:794k queries on average. The paper opens two complementary challenges: a systematic analysis of practical schemes so as to identify the best performing ones and design guideline strategies, as well as the need to identify tighter, nontrivial, lower bounds.
Original language | English |
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Pages (from-to) | 95-112 |
Number of pages | 18 |
Journal | Advances in Mathematics of Communications |
Volume | 10 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2016 |
Keywords
- Delay tolerant network
- Fluid approximations
- Linear network coding
- Lower bounds
- Mean field arguments
All Science Journal Classification (ASJC) codes
- Algebra and Number Theory
- Computer Networks and Communications
- Discrete Mathematics and Combinatorics
- Applied Mathematics