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Improving ZooKeeper Atomic Broadcast Performance by Coin Tossing

Lookup NU author(s): Ibrahim El-sanosi, Dr Paul Ezhilchelvan

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Abstract

ZooKeeper atomic broadcast (Zab) is at the core of ZooKeeper system, enforcinga total order on service requests that seek to modify the replicated service state.Since it is a leader based protocol, its performance degradeswhen the leader server is made to handle an increased message traffic.We address this concern by having the other, non-leader server replicas toss a coin andbroadcast their acknowledgement of a leader's proposalonly if the toss results in an outcome of Head.We model the coin-tossing process and derive analytical expressionsfor estimating the coin's probability of Head for a given arrival rate of service requestssuch that the dual objectives ofperformance gains and traffic reduction can be accomplished.Experiments compare the performance of our coin-tossing Zab version (ZabCT)with Zab performanceand confirm that the dual objectives are demonstrably met under heavy workloads.Moreover, ZabCT meets all requirementsessential for crash-tolerance provisions within Zab which can therefore beadopted in any ZabCT implementation.


Publication metadata

Author(s): El-Sanosi I, Ezhilchelvan P

Editor(s): Reinecke, P; DiMarco, A;

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Computer Performance Engineering (EPEW 2017)

Year of Conference: 2017

Pages: 249-265

Print publication date: 07/09/2017

Acceptance date: 29/06/2017

ISSN: 9783319665832

Publisher: Springer

URL: https://doi.org/10.1007/978-3-319-66583-2_16

DOI: 10.1007/978-3-319-66583-2_16

Notes: It describes a novel design that seeks to improve the performance of Zookeeper - a leader based coordination protocol - by reducing message traffic at the leader, both inbound and outbound. Experiments confirm that adaptive estimation of coin-toss probabilities increase coordination latency considerably, particularly when the load on the system is high.

Series Title: Lecture Notes in Computer Science


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