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 …

Data Grid provides scalable infrastructure for storage resource and data files management,
which supports several large scale applications. Due to limitation of available resources in …

Data Grid is a geographically distributed environment that deals with large-scale data-
intensive applications. Effective scheduling in Grid can reduce the amount of data …

Mining grid data is an interesting research field which aims at analyzing grid systems with
data mining techniques in order to efficiently discover new meaningful knowledge to …

针对一类个体服务质量敏感的用户, 研究云计算多数据中心环境下QoS 偏好感知的副本选择
策略. 根据用户对数据服务的QoS 需求, 构建副本选择的三维QoS 模型, 在此基础上 …

The Data Grid provides massive aggregated computing resources and distributed storage
space to deal with data-intensive applications. Due to the limitation of available resources in …

Fifth generation (5G) networks have a high requirement for low latency of data delivery.
Information-centric networking (ICN) adopts the paradigm of separation of the identifier and …

Huge collections of data have been created in recent years. Cloud computing provides a
way to enable massive amounts of data to work together as data-intensive services …

Many big-data computing applications have been deployed in cloud platforms. These
applications normally demand concurrent data transfers among computing nodes for …

Data Grid is a geographically distributed environment that deals with large-scale data-
intensive applications. Effective scheduling in Grid can reduce the amount of data …