PERFORMANCE EVALUATION OF A CLOUD BASED LOAD BALANCER SEVERING PARETO TRAFFIC

Cloud resources represent an unforeseeable breakthr ough in ITC industry. Load balancer is a key elemen t in resource provisioning for high available cloud s olutions, and yet its performance depends on the tr affic offered load. We develop a discrete event simulatio n to evaluate the performance with respect to the different load points. The performance metrics were the average waiting time inside the balance as wel l as the number of tasks. The performance study includes evaluating the chance of immediate serving or rejecting incoming tasks. Pareto traffic was consid ered for the offered traffic.

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