BS-HTIS: Buffer Sizing for Heterogeneous Traffic and Integrated System

Abstract

Buffer sizing of switching and routing devices is of significance to guarantee QoS of critical services in Internet of Things (IoT), continuously evolving scheduling mechanism and complex traffic characteristics pose new challenges to the traditional method of static buffer sizing based on the rule-ofthumb. In this paper, the scope of buffer sizing is extended from simple scheduling system under single traffic to integrated scheduling system under heterogeneous traffic input which is more ubiquitous. Voices, videos and other heterogeneous data in IoT are categorized into Short-Range Dependent (SRD) and Long-Range Dependent (LRD) traffic, and the integrated scheduling system is decomposed into Single-Server Single-Queue (SSSQ) systems, not only decoupling the complex dependence between heterogeneous traffic, but also taking into account the impact of SRD and LRD traffic burstiness on buffer size. On this basis, the expressions of relation between the minimum buffer size and overflow probability are derived in detail are presented. The numerical results show that the average rate, burst level and scheduling priority are positively correlated with the required buffer size, and when the overflow probability is set, the minimum buffer size is determined respectively. The achievements of this paper will provide a theoretical guidance for IoT manufacturers and technicians to set the optimal IoT devices buffer size.