Research Article
Improving ZooKeeper Atomic Broadcast Performance When a Server Quorum Never Crashes
@ARTICLE{10.4108/eai.12-1-2018.154177, author={Ibrahim EL-Sanosi and Paul Ezhilchelvan}, title={Improving ZooKeeper Atomic Broadcast Performance When a Server Quorum Never Crashes}, journal={EAI Endorsed Transactions on Future Internet}, volume={4}, number={13}, publisher={EAI}, journal_a={UE}, year={2018}, month={1}, keywords={Apache ZooKeeper; Atomic Broadcast; Crash-Tolerance; Server Replication; Protocol Latency; roughput; Performance Evaluation}, doi={10.4108/eai.12-1-2018.154177} }
- Ibrahim EL-Sanosi
Paul Ezhilchelvan
Year: 2018
Improving ZooKeeper Atomic Broadcast Performance When a Server Quorum Never Crashes
UE
EAI
DOI: 10.4108/eai.12-1-2018.154177
Abstract
Operating at the core of the highly-available ZooKeeper system is the ZooKeeper atomic broadcast (Zab) for imposing a total order on service requests that seek to modify the replicated system state. Zab is designed with the weakest assumptions possible under crash-recovery fault model; e.g., any number - even all - of servers can crash simultaneously and the system will continue or resume its service provisioning when a server quorum remains or resumes to be operative. Our aim is to explore ways of improving Zab performance without modifying its easy-to-implement structure. To this end, we ÿrst assume that server crashes are independent and a server quorum remains operative at all time. Under these restrictive, yet practical, assumptions, we propose three variations of Zab and do performance comparison. ⁄e ÿrst variation o‡ers excellent performance but can be only used for 3-server systems; the other two do not have this limitation. One of them reduces the leader overhead further by conditioning the sending of acknowledgements on the outcomes of coin tosses. Owing to its superb performance, it is re-designed to operate under the least-restricted Zab fault assumptions. Further performance comparisons conÿrm the potential of coin-tossing in o‡ering performances better than Zab, particularly at high workloads.
Copyright © 2018 Ibrahim EL-Sanosi and Paul Ezhilchelvan, licensed to EAI. This is an open-access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited. doi: 10.4108/eai.12-1-2018.154177