Extending stochastic network calculus to loss analysis.
Loss is an important parameter of Quality of Service (QoS). Though stochastic network calculus is a very useful tool for performance evaluation of computer networks, existing studies on stochastic service guarantees mainly focused on the delay and backlog. Some efforts have been made to analyse loss by deterministic network calculus, but there are few results to extend stochastic network calculus for loss analysis. In this paper, we introduce a new parameter named loss factor into stochastic network calculus and then derive the loss bound through the existing arrival curve and service curve via this parameter. We then prove that our result is suitable for the networks with multiple input flows. Simulations show the impact of buffer size, arrival traffic, and service on the loss factor.
National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China.
Chao
C
Luo
Li
L
Yu
Jun
J
Zheng
D008433:Mathematics; D013269:Stochastic Processes