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CFS: A New Dynamic Replication Strategy for Data Grids

2010
Journal from gdlhub / 2017-08-14 11:52:31
Oleh : Feras Hanandeh, Mutaz Khazaaleh, Hamidah Ibrahim, Rohaya Latip, IAJIT
Dibuat : 2012-06-22, dengan 1 file

Keyword : Grid computing, dynamic replication strategies
Subjek : CFS: A New Dynamic Replication Strategy for Data Grids
Url : http://www.ccis2k.org/iajit/PDF/vol.9,no.1/2845-12.pdf
Sumber pengambilan dokumen : Internet

Data grids are currently proposed solutions to large scale data management problems including efficient file


transfer and replication. Large amounts of data and the world-wide distribution of data stores contribute to the complexity of


the data management challenge. Recent architecture proposals and prototypes deal with dynamic replication strategies for a


high-performance data grid. This paper describes a new dynamic replication strategy called Constrained Fast Spread (CFS).


It aims to alleviate the main problems encountered in the current replication strategies like the negligence of the storage


capacity of the nodes. The new CFS strategy enhanced the fast spread strategy by concentrating on the feasibility of


replicating the requested replica on each node among the network.

Deskripsi Alternatif :

Data grids are currently proposed solutions to large scale data management problems including efficient file


transfer and replication. Large amounts of data and the world-wide distribution of data stores contribute to the complexity of


the data management challenge. Recent architecture proposals and prototypes deal with dynamic replication strategies for a


high-performance data grid. This paper describes a new dynamic replication strategy called Constrained Fast Spread (CFS).


It aims to alleviate the main problems encountered in the current replication strategies like the negligence of the storage


capacity of the nodes. The new CFS strategy enhanced the fast spread strategy by concentrating on the feasibility of


replicating the requested replica on each node among the network.

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