Title
Adaptive Network Coded Clouds: High Speed Downloads and Cost-Effective Version Control
Abstract
Although cloud systems provide a reliable and flexible storage solution, the use of a single cloud service constitutes a single point of failure, which can compromise data availability, download speed, and security. To address these challenges, we advocate for the use of multiple cloud storage providers simultaneously using network coding as the key enabling technology. Our goal is to study two challenges of network coded storage systems. First, the efficient update of the number of coded fragments per cloud in a system aggregating multiple clouds in order to boost the download speed of files. We developed a novel scheme using recoding with limited packets to trade-off storage space, reliability, and data retrieval speed. Implementation and measurements with commercial cloud providers show that up to 9x less network use is needed compared to other network coding schemes, while maintaining similar download speeds and reliability. Second, the ability to update coded fragments from a linear erasure code when the original file is modified. We exploit code structure to provide efficient representations of the evolution of the file. Evaluations using file changes on software library repositories show that a five-order of magnitude reduction in network and storage use is possible compared to state-of-the-art.
Year
DOI
Venue
2019
10.1109/TCC.2015.2481433
cloud computing
Keywords
Field
DocType
Distributed systems, error control codes, information storage and retrieval
Linear network coding,Single point of failure,Data retrieval,Computer science,Network packet,Real-time computing,Software,Erasure code,Cloud storage,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
7
1
2168-7161
Citations 
PageRank 
References 
1
0.35
0
Authors
6
Name
Order
Citations
PageRank
Marton Sipos133.09
Janus Heide215317.00
Daniel E. Lucani323642.29
Morten Videbæk Pedersen420218.49
Frank H. P. Fitzek5706123.89
Hassan Charaf621131.15