Advances in network technologies and the emergence of Grid computing have both increased the need and provided the infrastructure for computation and data intensive applications to...
Anastasios Gounaris, Rizos Sakellariou, Norman W. ...
Existing data grid scheduling systems handle huge data I/O via replica location services coupled with simple staging, decoupled from scheduling of computing tasks. However, when th...
Data streaming applications, usually composed with sequential/parallel tasks in a data pipeline form, bring new challenges to task scheduling and resource allocation in grid envir...
We propose a novel heterogeneous scalable desktop grid system, WaveGrid, which uses a peer-to-peer architecture and can satisfy the needs of applications with fastturnaround requi...
— The execution of data intensive grid applications still raises several questions regarding job scheduling, data migration and replication. The optimization techniques applied b...