Data Grids provide environment for huge, data-intensive applications that produce and process enormous data. Such environments are thus asked to manage data and schedule …
Data Grid integrates geographically distributed resources for solving data sensitive scientific applications. Dynamic data replication algorithms are becoming increasingly valuable in …
N Mansouri - Frontiers of Computer Science, 2014 - Springer
Data Grid integrates graphically distributed resources for solving data intensive scientific applications. Effective scheduling in Grid can reduce the amount of data transferred among …
IT infrastructures are rapidly growing due to the increased demand for computing power used by applications. Furthermore, modern cloud data centers are hosting various advanced …
Summary In Data Grid systems, quick data access is a challenging issue due to the high latency. The failure of requests is one of the most common matters in these systems that has …
In data grids scientific and business applications produce huge volume of data which needs to be transferred among the distributed and heterogeneous nodes of data grids. Data …
M Abdeyazdan - The Journal of Supercomputing, 2017 - Springer
Nowadays, there has been a growing interest in investigating and improving the methods used for resource discovery and access in grid systems, the reason could be the important …
Y Tian, X Qin, Y Jia - 2015 IEEE International Conference on …, 2015 - ieeexplore.ieee.org
Highly available cloud storage is often implemented with complex, multi-tiered distributed systems built on top of clusters of commodity servers and disk drives. Storage reliability …