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short-paper

How replicated data management in the cloud can benefit from a data grid protocol: the Re:GRIDiT Approach

Authors:

Laura Cristiana Voicu,

Heiko SchuldtAuthors Info & Claims

CloudDB '09: Proceedings of the first international workshop on Cloud data management

Pages 45 - 48

https://doi.org/10.1145/1651263.1651272

Published: 02 November 2009 Publication History

Abstract

Cloud computing has recently received considerable attention both in industry and academia. Due to the great success of the first generation of Cloud-based services, providers have to deal with larger and larger volumes of data. Quality of service agreements with customers require data to be replicated across data centers in order to guarantee a high degree of availability. In this context, Cloud Data Management has to address several challenges, especially when replicated data are concurrently updated at different sites or when the system workload and the resources requested by clients change dynamically. Mostly independent from recent developments in Cloud Data Management, Data Grids have undergone a transition from pure file management with read-only access to more powerful systems. In our recent work, we have developed the Re:GRIDiT protocol for managing data in the Grid which provides concurrent access to replicated data at different sites without any global component and supports the dynamic deployment of replicas. Since it is independent from the underlying Grid middleware, it can be seamlessly transferred to other environments like the Cloud. In this paper, we compare Data Management in the Grid and the Cloud, briefly introduce the Re:GRIDiT protocol and show its applicability for Cloud Data Management.

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Cited By

Nik WZhou BZomaya AAbawajy J(2015)A Framework for Implementing Asynchronous Replication Scheme in Utility-Based Computing EnvironmentProceedings of the 2015 International Conference on Cloud Computing and Big Data (CCBD)10.1109/CCBD.2015.42(183-190)Online publication date: 4-Nov-2015
https://dl.acm.org/doi/10.1109/CCBD.2015.42
Tran JCinquini LMattmann CZimdars PCuddy DLeung KKwoun OCrichton DFreeborn DMattmann CMevidovic NMohan TO'Malley O(2011)Evaluating cloud computing in the NASA DESDynI ground data systemProceedings of the 2nd International Workshop on Software Engineering for Cloud Computing10.1145/1985500.1985507(36-42)Online publication date: 22-May-2011
https://dl.acm.org/doi/10.1145/1985500.1985507
Voicu LSchuldt HBreitbart YSchek H(2010)Flexible Data Access in a Cloud Based on Freshness RequirementsProceedings of the 2010 IEEE 3rd International Conference on Cloud Computing10.1109/CLOUD.2010.75(180-187)Online publication date: 5-Jul-2010
https://dl.acm.org/doi/10.1109/CLOUD.2010.75

Index Terms

How replicated data management in the cloud can benefit from a data grid protocol: the Re:GRIDiT Approach
1. Information systems

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Published In

cover image ACM Conferences

CloudDB '09: Proceedings of the first international workshop on Cloud data management

November 2009

62 pages

ISBN:9781605588025

DOI:10.1145/1651263

General Chair:
Xiaofeng Meng
Renmin University of China, China
,
Program Chairs:
Haixun Wang
IBM T. J. Watson Research, USA
,
Ying Chen
IBM China Research Lab, China

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2009

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CIKM '09

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CIKM '09: Conference on Information and Knowledge Management

November 2, 2009

Hong Kong, China

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CloudDB '09 Paper Acceptance Rate 8 of 11 submissions, 73%;

Overall Acceptance Rate 12 of 17 submissions, 71%

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Cited By

Nik WZhou BZomaya AAbawajy J(2015)A Framework for Implementing Asynchronous Replication Scheme in Utility-Based Computing EnvironmentProceedings of the 2015 International Conference on Cloud Computing and Big Data (CCBD)10.1109/CCBD.2015.42(183-190)Online publication date: 4-Nov-2015
https://dl.acm.org/doi/10.1109/CCBD.2015.42
Tran JCinquini LMattmann CZimdars PCuddy DLeung KKwoun OCrichton DFreeborn DMattmann CMevidovic NMohan TO'Malley O(2011)Evaluating cloud computing in the NASA DESDynI ground data systemProceedings of the 2nd International Workshop on Software Engineering for Cloud Computing10.1145/1985500.1985507(36-42)Online publication date: 22-May-2011
https://dl.acm.org/doi/10.1145/1985500.1985507
Voicu LSchuldt HBreitbart YSchek H(2010)Flexible Data Access in a Cloud Based on Freshness RequirementsProceedings of the 2010 IEEE 3rd International Conference on Cloud Computing10.1109/CLOUD.2010.75(180-187)Online publication date: 5-Jul-2010
https://dl.acm.org/doi/10.1109/CLOUD.2010.75

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