Workload-aware request routing in cloud data center using software-defined networking

Abstract

Large latency of applications will bring revenue loss to cloud infrastructure providers in the cloud data center. The existing controllers of software-de ned networking architecture can fetch and process traf c information in the network. Therefore, the controllers can only optimize the network latency of applications. However, the serving latency of applications is also an important factor in delivered user-experience for arrival requests. Unintelligent request routing will cause large serving latency if arrival requests are allocated to overloaded virtual machines. To deal with the request routing problem, this paper proposes the workload-aware software-de ned networking controller architecture. Then, request routing algorithms are proposed to minimize the total round trip time for every type of request by considering the congestion in the network and the workload in virtual machines (VMs). This paper nally provides the evaluation of the proposed algorithms in a simulated prototype. The simulation results show that the proposed methodology is ef cient compared with the existing approaches.