Title
Babel Storage: Uncoordinated Content Delivery from Multiple Coded Storage Systems
Abstract
In future content-centric networks, content is identified independently of its location. From an end-user's perspective, individual storage systems dissolve into a seemingly omnipresent structureless 'storage fog'. Content should be delivered oblivious of the network topology, using multiple storage systems simultaneously, and at minimal coordination overhead. Prior works have addressed the advantages of error correction coding for distributed storage and content delivery separately. This work takes a comprehensive approach to highlighting the tradeoff between storage overhead and transmission overhead in uncoordinated content delivery from multiple coded storage systems. Our contribution is twofold. First, we characterize the tradeoff between storage and transmission overhead when all participating storage systems employ the same code. Second, we show that the resulting stark inefficiencies can be avoided when storage systems use diverse codes. What is more, such code diversity is not just technically desirable, but presumably will be the reality in the increasingly heterogeneous networks of the future. To this end, we show that a mix of Reed-Solomon, low-density parity-check and random linear network codes achieves close-to-optimal performance at minimal coordination and operational overhead.
Year
DOI
Venue
2019
10.1109/GLOBECOM38437.2019.9013383
2019 IEEE Global Communications Conference (GLOBECOM)
Keywords
DocType
ISSN
babel storage,uncoordinated content delivery,future content-centric networks,individual storage systems,seemingly omnipresent structureless,multiple storage systems,minimal coordination overhead,error correction coding,distributed storage,storage overhead,transmission overhead,participating storage systems,diverse codes,code diversity,random linear network codes
Conference
1930-529X
ISBN
Citations 
PageRank 
978-1-7281-0963-3
0
0.34
References 
Authors
14
2
Name
Order
Citations
PageRank
Joachim Neu133.47
Muriel Médard26828599.31