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CRaft: An Erasure-coding-supported Version of Raft for Reducing Storage Cost and Network Cost

Zizhong Wang, Tongliang Li, Haixia Wang, Airan Shao, Yunren Bai, Shangming Cai, Zihan Xu, Dongsheng Wang

2020Year
42Citations
4Top-tier citations

Abstract

Consensus protocols can provide highly reliable and available distributed services. In these protocols, log entries are completely replicated to all servers. This complete-entry replication causes high storage and network costs, which harms performance.

Erasure coding is a common technique to reduce storage and network costs while keeping the same fault tolerance ability. If the complete-entry replication in consensus protocols can be replaced with an erasure coding replication, storage and network costs can be greatly reduced. RS-Paxos is the first consensus protocol to support erasure-coded data, but it has much poorer availability compared to commonly used consensus protocols, like Paxos and Raft. We point out RS-Paxos's liveness problem and try to solve it. Based on Raft, we present a new protocol, CRaft. Providing two different replication methods, CRaft can use erasure coding to save storage and network costs like RS-Paxos, while it also keeps the same liveness as Raft.

To demonstrate the benefits of our protocols, we built a key-value store based on CRaft, and evaluated it. In our experiments, CRaft could save 66% of storage, reach a 250% improvement on write throughput and reduce 60.8% of write latency compared to original Raft.

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