The AppLeS parameter sweep template: user-level middleware for the grid
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
CHEETAH: circuit-switched high-speed end-to-end transport architecture testbed
IEEE Communications Magazine
Ultrascience net: network testbed for large-scale science applications
IEEE Communications Magazine
DRAGON: a framework for service provisioning in heterogeneous grid networks
IEEE Communications Magazine
| Hi-index | 0.00 |
In this paper, we propose a dynamic management method with model predictive control (MPC) so that the number of transmitted tasks can be decided based on dynamics of lightpath establish/release process. The proposed method utilize the number of lightpaths that has been established as the dynamics for deriving the number of tasks. This derivation is performed by solving the quadratic programming (QP). By using this method, it is expected that both the computing and network resources can be utilized effectively. We evaluate the performance of the proposed method with Matlab and compare its performance with the performance of PID-based method. In numerical examples, we investigate how computing and network resources can be utilized more effectively by using our proposed method. In addition, we investigate the computation time of our proposed method and the PID-based method.