We consider a set of fluid On-Off flows that share a common server of capacity c and a finite buffer B. The server capacity is divided using Generalized Processor Sharing scheduling discipline. Each flow has a minimum service rate guarantee that exceeds its long term average demand ρi. The buffer sharing is unrestricted as long as there is available space; if the buffer is full, the necessary amount of fluid from the most demanding flows is discarded. When the On periods are heavy-tailed, we show that the loss rate of a particular flow i is asymptotically equal to the loss rate in a reduced system with capacity c − Σj�=iρj and buffer B, where this flow is served in isolation. In particular, each flow perceivestohavethewholebufferB to itself...
We analyze the asymptotic behavior of long-tailed traffic sources under the generalized processor sh...
Worst-case bounds on delay and backlog are derived for leaky bucket constrained sessions in arbitrar...
Bandwidth-sharing networks as introduced by Massoulie ́ & Roberts (1998) model the dynamic inte...
textabstractWe consider networks where traffic is served according to the Generalised Processor Shar...
We consider networks where traffic is served according to the generalised processor sharing (GPS) pr...
We analyze the queueing behavior of longtailed traffic sources under the Generalized Processor Shari...
Abstract-The problem of allocating network resources to the users of an integrated services network ...
We analyze the asymptotic behavior of long-tailed traffic flows under the Generalized Processor Shar...
The problem of allocating network resources to the users of an integrated services net-work is inves...
We consider a queue fed by a mixture of light-tailed and heavy-tailed traffic. The two traffic flows...
We consider a queue fed by a mixture of light-tailed and heavy-tailed traffic. The two traffic flows...
We consider a queue fed by a mixture of light-tailed and heavy-tailed traffic. The two traffic flows...
textabstractWe analyze the queueing behavior of long-tailed traffic flows under the Generalized Proc...
We consider a queue fed by a mixture of light-tailed and heavy-tailed traffic. The two traffic flows...
We consider a queue fed by a mixture of light-tailed and heavy-tailed traffic. The two traffic flows...
We analyze the asymptotic behavior of long-tailed traffic sources under the generalized processor sh...
Worst-case bounds on delay and backlog are derived for leaky bucket constrained sessions in arbitrar...
Bandwidth-sharing networks as introduced by Massoulie ́ & Roberts (1998) model the dynamic inte...
textabstractWe consider networks where traffic is served according to the Generalised Processor Shar...
We consider networks where traffic is served according to the generalised processor sharing (GPS) pr...
We analyze the queueing behavior of longtailed traffic sources under the Generalized Processor Shari...
Abstract-The problem of allocating network resources to the users of an integrated services network ...
We analyze the asymptotic behavior of long-tailed traffic flows under the Generalized Processor Shar...
The problem of allocating network resources to the users of an integrated services net-work is inves...
We consider a queue fed by a mixture of light-tailed and heavy-tailed traffic. The two traffic flows...
We consider a queue fed by a mixture of light-tailed and heavy-tailed traffic. The two traffic flows...
We consider a queue fed by a mixture of light-tailed and heavy-tailed traffic. The two traffic flows...
textabstractWe analyze the queueing behavior of long-tailed traffic flows under the Generalized Proc...
We consider a queue fed by a mixture of light-tailed and heavy-tailed traffic. The two traffic flows...
We consider a queue fed by a mixture of light-tailed and heavy-tailed traffic. The two traffic flows...
We analyze the asymptotic behavior of long-tailed traffic sources under the generalized processor sh...
Worst-case bounds on delay and backlog are derived for leaky bucket constrained sessions in arbitrar...
Bandwidth-sharing networks as introduced by Massoulie ́ & Roberts (1998) model the dynamic inte...