Economic Data Replication Management in the Cloud

Abdenour Lazeb, Riad Mokadem, Ghalem Belalem
2019 National Study Day on Research on Computer Sciences  
The applications produce huge volumes of data that are distributed on remote and heterogeneous sites. This generates problems related to access and sharing of such 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
more » ... 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. Our proposed approach generates the optimal replication strategy. In theory, we show that our algorithm significantly improves provider gain over a wide range of cloud and SLA-conditions without neglecting customer satisfaction.
dblp:conf/jeri/LazebMB19 fatcat:6wt7d7yjm5hyrej6nmgk5uzvim