A dynamic replication strategy based on categorization for Data Grid

2014 ◽  
Vol 10 (2) ◽  
pp. 109-118 ◽  
Author(s):  
Mohammad Bsoul ◽  
Ayoub Alsarhan ◽  
Ahmed Otoom ◽  
Maen Hammad ◽  
Ahmad Al-Khasawneh
2017 ◽  
Vol 13 (2) ◽  
pp. 163-175
Author(s):  
Mohammad Bsoul ◽  
Ahmed Fawzi Otoom ◽  
Alaa E. Abdallah ◽  
Nabhan Hamadneh

2005 ◽  
Vol 21 (5) ◽  
pp. 775-790 ◽  
Author(s):  
Ming Tang ◽  
Bu-Sung Lee ◽  
Chai-Kiat Yeo ◽  
Xueyan Tang

Author(s):  
Abdenour Lazeb ◽  
Riad Mokadem ◽  
Ghalem Belalem

Applications produce huge volumes of data that are distributed on remote and heterogeneous sites. This generates problems related to access and sharing data. As a result, managing data in large-scale environments is a real challenge. In this context, large-scale data management systems often use data replication, a well-known technique that treats generated problems by storing multiple copies of data, called replicas, across multiple nodes. Most of the replication strategies in these environments are difficult to adapt to cloud environments. They aim to achieve the best performance of the system without meeting the important objectives of the cloud provider. This article proposes a new dynamic replication strategy. The proposed algorithm significantly improves provider gain without neglecting customer satisfaction.


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