November 2023

Conference Paper

Design Considerations and Analysis of Multi-Level Erasure Coding in Large-Scale Data Centers

By:
Wang, Meng; Mao, Jiajun; Rana, Rajdeep; Bent, John; Olmez, Serkay; George, Anjus ; Ransom, Garrett; Li, Jun; Gunawi, Haryadi
Page Number:
1-13
Book Title:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
Publication Date:
November 2023
Publisher Location:
Association for Computing Machinery, New York, New York, United States of America
Conference Name:
International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 23)
Conference Location:
Denver, Colorado, United States of America
Conference Sponsor:
ACM, IEEE
View DOI Listing:
https://doi.org/10.1145/3581784.3607072

Abstract

Multi-level erasure coding (MLEC) has seen large deployments in the field, but there is no in-depth study of design considerations for MLEC at scale. In this paper, we provide comprehensive design considerations and analysis of MLEC at scale. We introduce the design space of MLEC in multiple dimensions, including various code parameter selections, chunk placement schemes, and various repair methods. We quantify their performance and durability, and show which MLEC schemes and repair methods can provide the best tolerance against independent/correlated failures and reduce repair network traffic by orders of magnitude. To achieve this, we use various evaluation strategies including simulation, splitting, dynamic programming, and mathematical modeling. We also compare the performance and durability of MLEC with other EC schemes such as SLEC and LRC and show that MLEC can provide high durability with higher encoding throughput and less repair network traffic over both SLEC and LRC.


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