Founsure 1.0: an Erasure Code Library With Efficient Repair and Update Features
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Date
2021
Authors
Arslan, Şuayb Şefik
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Founsure is an open-source software library that implements a multi-dimensional graph-based erasure coding entirely based on fast exclusive OR (XOR) logic. Its implementation utilizes compiler optimizations and multi-threading to generate the right assembly code for the given multi-core CPU architecture with vector processing capabilities. Founsure possesses important features that shall find various applications in modern data storage, communication, and networked computer systems, in which the data needs protection against device, hardware, and node failures. As data size reached unprecedented levels, these systems have become hungry for network bandwidth, computational resources, and average consumed power. To address that, the proposed library provides a three-dimensional design space that trades off the computational complexity, coding overhead, and data/node repair bandwidth to meet different requirements of modern distributed data storage and processing systems. Founsure library enables efficient encoding, decoding, repairs/rebuilds, and updates while all the required data storage and computations are distributed across the network nodes.
Description
Keywords
Reliability, Distributed storage, Openmp, Single instruction multiple data (simd), Erasure coding, Fountain coding, QA76.75-76.765, Distributed storage, Computer Science - Information Theory, Fountain coding, Single instruction multiple data (SIMD), OpenMP, Computer software, Erasure coding, Reliability
Turkish CoHE Thesis Center URL
Fields of Science
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
Citation
Arslan, Ş. Ş. (2021). Founsure 1.0: An erasure code library with efficient repair and update features. SoftwareX, 13, p.1-12. DOI: 10.1016/j.softx.2021.100662
WoS Q
Q2
Scopus Q
Q2

OpenCitations Citation Count
4
Source
SoftwareX
Volume
13
Issue
Start Page
1-12
End Page
PlumX Metrics
Citations
CrossRef : 5
Scopus : 7
Captures
Mendeley Readers : 6
SCOPUS™ Citations
7
checked on Feb 03, 2026
Web of Science™ Citations
5
checked on Feb 03, 2026
Page Views
279
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Downloads
1097
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