Network monitoring and management approach for expressive-based SLA of grid computing applications

In this paper, we present a performance analysis of a dynamic bandwidth monitoring method with flow control functionality, for intensive data-passing grid applications over wide area networks. The proposed method called flatness based trajectory tracking, adapts the grid users output rates to match expressive data-transfer SLA used to describe theirs guarantees parameters. The control considers time delay transfer by using delay predictor and provides value-added services for grid applications over Internet. This reactive monitoring uses purely control theoretic approaches which stabilize the network and avoid undesirable oscillations for the transmission of such critical flows. Moreover, discrete-time simulation under GridSim simulator illustrates its feasibility and efficiency to provide guarantees for critical grid traffics with timely execution requirements.