Data replication is an important mechanism for managing data distribution. The general
purpose of data replication is to place data in different locations so that it is available to the …

This paper presents a survey of data replication strategies in cloud systems. Based on the
survey and reviews of existing classifications, we propose another classification of …

Heterogeneous distributed computing environments are emerging for developing data-
intensive (big data) applications that require to access huge data files. Therefore, effective …

The replication of data across multiple sites of data grid is an effective solution to achieve
good performance in terms of load balancing, response time, and improving data …

In distributed systems, data may be correlated due to accesses from clients and the
correlation has some impact on date placement, and existing research works focus on …

Availability and accessibility of data objects in a reasonable time is a main issue in
distributed systems like cloud computing services. As a result, the reduction of data-related …

In recent years, with the rapid development of data intensive applications, data replication
has become an enabling technology for the data grid to improve data availability, and …

Most social networks allow connections amongst many people based on shared interests.
Social networks have to offer shared data like videos, photos with minimum latency to the …

Replication technology is commonly used to improve data availability and reduce data
access latency in the cloud storage system by providing users with different replicas of the …

Failures are normal rather than exceptional in the cloud computing environments. To
improve system availability, replicating the popular data to multiple suitable locations is an …