Deadline Scheduling for Real-Time Systems: Edf and Related Algorithms
Deadline Scheduling for Real-Time Systems: Edf and Related Algorithms
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Security-driven scheduling for data-intensive applications on grids
Cluster Computing
Enhancing security of real-time applications on grids through dynamic scheduling
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
International Journal of Network Management
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In this paper we have proposed a dynamic real time scheduling algorithm named SARDIG, which is capable of scheduling real time data intensive applications and provides security for real time data intensive applications running on grids. We have presented a grid architecture, which describes the scheduling framework of the security attentive real time data intensive applications running on data grids. In addition, we have introduced a mathematical model for the scheduling policy to provide optimum security for real time data intensive applications. The time complexity of the SARDIG algorithm has been analyzed to show the efficiency of the algorithm. Simulation result shows that the SARDIG algorithm provides better performance and security than two existing scheduling algorithms.