Data replication on the cloud/edge

David Mealha; Nuno Preguiça; Maria Cecília Gomes; João Leitão

doi:10.1145/3301419.3323973

Data replication on the cloud/edge

David Mealha, Nuno Preguiça, Maria Cecília Gomes, João Leitão

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

This work presents a database replication system capitalising on hybrid cloud/edge infra-structures, which may be used in novel software architectures like microservices' applications. The system aims to reduce the latency perceived by clients performing read and update operations on a database, by locating replicas on edge nodes nearer end users. The replicas' convergence algorithm is based on eventual consistency and presents a novel solution that combines Operations Transformation and CRDTs techniques. The system follows the MongoDB data model and is validated on geographically disperse Amazon AWS data centers simulating edge nodes.

Original language	English
Title of host publication	Proceedings of the 6th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2019
Publisher	ACM - Association for Computing Machinery
ISBN (Electronic)	9781450362764
DOIs	https://doi.org/10.1145/3301419.3323973
Publication status	Published - 25 Mar 2019
Event	6th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2019 - Dresden, Germany Duration: 25 Mar 2019 → …

Conference

Conference	6th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2019
Country/Territory	Germany
City	Dresden
Period	25/03/19 → …

Keywords

Cloud/edge computing
Replication middleware
Weak consistency

Access to Document

10.1145/3301419.3323973

Cite this

@inproceedings{f0f5f38a00f946fc9f87a7a7763e2ab7,

title = "Data replication on the cloud/edge",

abstract = "This work presents a database replication system capitalising on hybrid cloud/edge infra-structures, which may be used in novel software architectures like microservices' applications. The system aims to reduce the latency perceived by clients performing read and update operations on a database, by locating replicas on edge nodes nearer end users. The replicas' convergence algorithm is based on eventual consistency and presents a novel solution that combines Operations Transformation and CRDTs techniques. The system follows the MongoDB data model and is validated on geographically disperse Amazon AWS data centers simulating edge nodes.",

keywords = "Cloud/edge computing, Replication middleware, Weak consistency",

author = "David Mealha and Nuno Pregui{\c c}a and Gomes, {Maria Cec{\'i}lia} and Jo{\~a}o Leit{\~a}o",

note = "Funding Information: info:eu-repo/grantAgreement/EC/H2020/732505/EU# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F04516%2F2013/PT# info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FCCI-INF%2F32662%2F2017/PT# ; 6th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2019 ; Conference date: 25-03-2019",

year = "2019",

month = mar,

day = "25",

doi = "10.1145/3301419.3323973",

language = "English",

booktitle = "Proceedings of the 6th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2019",

publisher = "ACM - Association for Computing Machinery",

address = "United States",

}

Mealha, D , Preguiça, N , Gomes, MC & Leitão, J 2019, Data replication on the cloud/edge. in Proceedings of the 6th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2019. ACM - Association for Computing Machinery, 6th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2019, Dresden, Germany, 25/03/19. https://doi.org/10.1145/3301419.3323973

TY - GEN

T1 - Data replication on the cloud/edge

AU - Mealha, David

AU - Preguiça, Nuno

AU - Gomes, Maria Cecília

AU - Leitão, João

N1 - Funding Information: info:eu-repo/grantAgreement/EC/H2020/732505/EU# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F04516%2F2013/PT# info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FCCI-INF%2F32662%2F2017/PT#

PY - 2019/3/25

Y1 - 2019/3/25

N2 - This work presents a database replication system capitalising on hybrid cloud/edge infra-structures, which may be used in novel software architectures like microservices' applications. The system aims to reduce the latency perceived by clients performing read and update operations on a database, by locating replicas on edge nodes nearer end users. The replicas' convergence algorithm is based on eventual consistency and presents a novel solution that combines Operations Transformation and CRDTs techniques. The system follows the MongoDB data model and is validated on geographically disperse Amazon AWS data centers simulating edge nodes.

AB - This work presents a database replication system capitalising on hybrid cloud/edge infra-structures, which may be used in novel software architectures like microservices' applications. The system aims to reduce the latency perceived by clients performing read and update operations on a database, by locating replicas on edge nodes nearer end users. The replicas' convergence algorithm is based on eventual consistency and presents a novel solution that combines Operations Transformation and CRDTs techniques. The system follows the MongoDB data model and is validated on geographically disperse Amazon AWS data centers simulating edge nodes.

KW - Cloud/edge computing

KW - Replication middleware

KW - Weak consistency

UR - http://www.scopus.com/inward/record.url?scp=85083947153&partnerID=8YFLogxK

U2 - 10.1145/3301419.3323973

DO - 10.1145/3301419.3323973

M3 - Conference contribution

AN - SCOPUS:85083947153

BT - Proceedings of the 6th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2019

PB - ACM - Association for Computing Machinery

T2 - 6th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2019

Y2 - 25 March 2019

ER -

Data replication on the cloud/edge

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this