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Health Data Availability Protection: Delta-XOR-Relay Data Update in Erasure-Coded Cloud Storage Systems

Yifei Xiao, Shijie Zhou*

School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China

* Corresponding Author: Shijie Zhou. Email:

(This article belongs to this Special Issue: Internet of Things in Healthcare and Health: Security and Privacy)

Computer Modeling in Engineering & Sciences 2023, 135(1), 169-185.


To achieve the high availability of health data in erasure-coded cloud storage systems, the data update performance in erasure coding should be continuously optimized. However, the data update performance is often bottlenecked by the constrained cross-rack bandwidth. Various techniques have been proposed in the literature to improve network bandwidth efficiency, including delta transmission, relay, and batch update. These techniques were largely proposed individually previously, and in this work, we seek to use them jointly. To mitigate the cross-rack update traffic, we propose DXR-DU which builds on four valuable techniques: (i) delta transmission, (ii) XOR-based data update, (iii) relay, and (iv) batch update. Meanwhile, we offer two selective update approaches: 1) data-delta-based update, and 2) parity-delta-based update. The proposed DXR-DU is evaluated via trace-driven local testbed experiments. Comprehensive experiments show that DXR-DU can significantly improve data update throughput while mitigating the cross-rack update traffic.


Cite This Article

Xiao, Y., Zhou, S. (2023). Health Data Availability Protection: Delta-XOR-Relay Data Update in Erasure-Coded Cloud Storage Systems. CMES-Computer Modeling in Engineering & Sciences, 135(1), 169–185.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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