On the Impact of Long-Range-Dependent Tra c in Dimensioning ATM Network Bu er
نویسندگان
چکیده
Recent measurements of packet networks have shown that packet tra c exhibits long-range-dependent property. Studies have also discovered that this property is not adequately captured by the conventional Markov tra c models and often yields queueing behavior such as heavy-tailed or subexponential queue length distribution. These ndings have led to the implication that long-range-dependent tra c has a signi cant impact on determining queueing performance and dimensioning bu er requirement in general. This paper examines the impact of long-range-dependent tra c on providing connectionless services over ATM networks using AAL5 protocol. As connectionless data packets enter an ATM network, they are encapsulated into AAL5 frames. Within the ATM network, AAL5 frames are segmented into cells for transmission and reassembled at intermediate connectionless servers for frame switching. A queueing model characterizing the AAL5 frame reassembly operation is developed and analyzed to investigate the impact of long-range-dependent tra c on dimensioning the frame reassembly bu er. The bu er over ow probability is analytically derived. Tight upper bound and lower bound of the AAL5 frame loss probability are also established. The analysis shows that long-range-dependent tra c and conventional Markovian tra c yield similar queueing behavior in the frame reassembly operation.
منابع مشابه
On the Impact of Long-Range-Dependent Traffic in Dimensioning ATM Network Buffer
Recent measurements of packet networks have shown that packet traffic exhibits long-range-dependent property. Studies have also discovered that this property is not adequately captured by the conventional Markov traffic models and often yields queueing behavior such as heavy-tailed or subexponential queue length distribution. These findings have led to the implication that long-range-dependent ...
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