Title
Scheduling strategies to mitigate the impact of bursty traffic in wireless networks
Abstract
Recent work has shown that certain queue-length based scheduling algorithms, such as max-weight, can lead to poor delays in the presence of bursty traffic. To overcome this phenomenon, we consider the problem of designing scheduling policies that are robust to bursty traffic, while also amenable to practical implementation. Specifically, we discuss two mechanisms, one based on adaptive CSMA, and the second based on maximum-weight scheduling with capped queue lengths. We consider a simple queueing network consisting of two conflicting links. The traffic served by the first link is bursty, and is modeled as being heavy-tailed, while traffic at the second link is modeled using a light-tailed arrival process. In this setting, previous work has shown that even the light-tailed traffic would experience heavy-tailed delays under max-weight scheduling. In contrast, we demonstrate a threshold phenomenon in the relationship between the arrival rates and the queue backlog distributions. In particular, we show that with an adaptive CSMA scheme, when the arrival rate of the light-tailed traffic is less than a threshold value, the light-tailed traffic experiences a light-tailed queue backlog at steady state, whereas for arrival rates above the same threshold, the light-tailed traffic experiences a heavy-tailed queue backlog. We also show that a similar threshold behavior for max-weight scheduling with capped queue lengths.
Year
Venue
Keywords
2013
Modeling & Optimization in Mobile, Ad Hoc & Wireless Networks
carrier sense multiple access,radio networks,scheduling,telecommunication traffic,adaptive csma,adaptive csma scheme,bursty traffic,capped queue lengths,heavy-tailed delays,heavy-tailed queue backlog,light-tailed arrival process,light-tailed traffic,max-weight scheduling,maximum-weight scheduling,queue backlog distributions,queue-length based scheduling algorithms,queueing network,scheduling policies,scheduling strategies,wireless networks
DocType
ISBN
Citations 
Conference
978-1-61284-824-2
1
PageRank 
References 
Authors
0.35
7
4
Name
Order
Citations
PageRank
Krishna Jagannathan1222.48
Libin Jiang271.23
Palthya Lakshma Naik310.35
Eytan Modiano43714314.44