Keeping up with storage: decentralized, write-enabled dynamic geo-replication

Matri, Pierre and Pérez Hernández, María de los Santos and Costan, Alexandru and Bougé, Luc and Antoniu, Gabriel (2017). Keeping up with storage: decentralized, write-enabled dynamic geo-replication. "Future Generation Computer Systems", v. 86 ; pp. 1093-1105. ISSN 0167-739X. https://doi.org/10.1016/j.future.2017.06.009.

Description

Title: Keeping up with storage: decentralized, write-enabled dynamic geo-replication
Author/s:
  • Matri, Pierre
  • Pérez Hernández, María de los Santos
  • Costan, Alexandru
  • Bougé, Luc
  • Antoniu, Gabriel
Item Type: Article
Título de Revista/Publicación: Future Generation Computer Systems
Date: 2017
ISSN: 0167-739X
Volume: 86
Subjects:
Freetext Keywords: Cloud; Replication; Geo-replication; Storage; Fault-tolerance; Consistency; Database; Key-value store
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Large-scale applications are ever-increasingly geo-distributed. Maintaining the highest possible data locality is crucial to ensure high performance of such applications. Dynamic replication addresses this problem by dynamically creating replicas of frequently accessed data close to the clients. This data is often stored in decentralized storage systems such as Dynamo or Voldemort, which offer support for mutable data. However, existing approaches to dynamic replication for such mutable data remain centralized, thus incompatible with these systems. In this paper we introduce a write-enabled dynamic replication scheme that leverages the decentralized architecture of such storage systems. We propose an algorithm enabling clients to locate tentatively the closest data replica without prior request to any metadata node. Large-scale experiments on various workloads show a read latency decrease of up to 42% compared to other state-of-the-art, caching-based solutions.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020642963BigStorageUniversidad Politécnica de MadridBigStorage: Storage-based Convergence between HPC and Cloud to handle Big Data

More information

Item ID: 50723
DC Identifier: http://oa.upm.es/50723/
OAI Identifier: oai:oa.upm.es:50723
DOI: 10.1016/j.future.2017.06.009
Official URL: https://www.sciencedirect.com/science/article/pii/S0167739X17312402
Deposited by: Memoria Investigacion
Deposited on: 21 Dec 2018 11:30
Last Modified: 21 Dec 2018 11:30
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