Deadline-aware rate allocation for IoT services in data center network

Data center is the key infrastructure for a plenty of applications involving a high volume of data in Internet of Things (IoT). The Data Center Network (DCN) connecting multiple servers plays a vital role. Its mechanism for managing the traffic has a significant impact on the performance of IoT services. To guarantee the real-time performance of IoT services is one of the major challenges. In the paper Deadline-aware Rate Allocation (DRA) algorithm for scheduling the heterogeneous flows in DCNs is proposed. A non-cooperative game-theoretic framework is introduced to model the interactions in the scenario. The core idea of DRA is to assign the traffic with deadline constraints a higher priority. The worker with a lower served rate in the past period is assigned a higher priority. Meanwhile, DRA is a kind of preemptive algorithm. Simulation results have shown that under the mechanism flows wait shorter time and the real-time performance is guaranteed. DRA also achieves good fairness among different IoT services. © 2017 Elsevier Inc.