DISTRIBUTED APPLICATION CHECKPOINTING FOR REPLICATED STATE MACHINES*

Niyazi Özdinç Çelikel*, Tolga Ovatman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Application checkpointing is a widely used recovery mechanism that consists of saving an application's state periodically to be used in case of a failure. In this study we investigate the utilisation of distributed checkpointing for replicated state machines. Conventionally, for replicated state machines, checkpointing information is stored in a replicated way in each of the replicas or separately in a single instance. Applying distributed checkpointing provides a means to adjust the level of fault tolerance of the checkpointing approach by giving away from recovery time. We use a local cluster and cloud environment to examine the effects of distributed checkpointing in a simple state machine example and compare the results with conventional approaches. As expected, distributed checkpointing gains from memory consumption and utilise different levels of fault tolerance while performing worse in terms of recovery time.

Original languageEnglish
Pages (from-to)67-79,
JournalScalable Computing
Volume22
Issue number1
DOIs
Publication statusPublished - 2021

Bibliographical note

Publisher Copyright:
© 2021. All Rights Reserved.

Funding

∗This work is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) under grant id 118E887. †Istanbul Technical University Department of Computer Engineering Istanbul, Turkey ([email protected]). ‡Istanbul Technical University Department of Computer Engineering Istanbul, Turkey ([email protected]) ORCID-id:0000-0001-5918-3145. Corresponding author. 1https://projects.spring.io/spring-statemachine/

FundersFunder number
TUBITAK118E887
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Keywords

    • Application Checkpointing
    • Cloud Computing
    • Replicated State Machines

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