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

Authors:
Laura Cristiana Voicu;Heiko Schuldt
Affiliations:
University of Basel, Basel, Switzerland;University of Basel, Basel, Switzerland
Venue:
Proceedings of the first international workshop on Cloud data management
Year:
2009

Citing 9
Cited 1

Transaction Processing: Concepts and Techniques

Transaction Processing: Concepts and Techniques
The Grid 2: Blueprint for a New Computing Infrastructure

The Grid 2: Blueprint for a New Computing Infrastructure
Fine-grained replication and scheduling with freshness and correctness guarantees

VLDB '05 Proceedings of the 31st international conference on Very large data bases
Decentralized coordination of transactional processes in peer-to-peer environments

Proceedings of the 14th ACM international conference on Information and knowledge management
FAS: a freshness-sensitive coordination middleware for a cluster of OLAP components
DILIGENT: integrating digital library and Grid technologies for a new Earth observation research infrastructure

International Journal on Digital Libraries
PNUTS: Yahoo!'s hosted data serving platform

Proceedings of the VLDB Endowment
The Claremont report on database research

Communications of the ACM - One Laptop Per Child: Vision vs. Reality
Replicated data management in the grid: the Re:GRIDiT approach

Proceedings of the 1st ACM workshop on Data grids for eScience

Evaluating cloud computing in the NASA DESDynI ground data system

Proceedings of the 2nd International Workshop on Software Engineering for Cloud Computing

Quantified Score

Hi-index	0.00

Visualization

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.