An Ensembled Scheme for QoS-Aware Traffic Flow Management in Software Defined Networks

In recent times, smart communities such as-smart grid, smart healthcare, and smart manufacturing units consists of large number of connected devices equipped with advanced processing and communication capabilities. The focus of these smart communities have shifted towards the use of intelligent processing and control for providing better quality of service (QoS) to the end user domain. To support this aspect, software defined networking (SDN) is being widely deployed in different domains such as-data center networks, fog/edge computing, smart grid, and vehicular networks. The variable requirements of different applications in smart communities make it necessary to deploy flexible and scalable SDN. The dynamic flow management capability of SDN has lots of potential that needs to be effectively explored in order to provide QoS guarantee for traffic generated from different smart applications. In this direction, in this paper, an ensembled scheme for QoS-aware traffic flow management in SDN is designed. The proposed scheme works in three phases: 1) a linear ordering scheme for dependency removal of the incoming packets is designed, 2) an application-specific traffic classification scheme is designed, and 3) a queue management scheme is designed for efficient scheduling of traffic flow. The proposed scheme is evaluated over an experimental setup. The results obtained shows that the proposed scheme behaves effectively with respect to different QoS parameters.

[1]  Xiang-Yang Li,et al.  Joint Route Selection and Update Scheduling for Low-Latency Update in SDNs , 2017, IEEE/ACM Transactions on Networking.

[2]  Neeraj Kumar,et al.  MEnSuS: An efficient scheme for energy management with sustainability of cloud data centers in edge-cloud environment , 2017, Future Gener. Comput. Syst..

[3]  Albert Y. Zomaya,et al.  Optimal Decision Making for Big Data Processing at Edge-Cloud Environment: An SDN Perspective , 2018, IEEE Transactions on Industrial Informatics.

[4]  Athanasios V. Vasilakos,et al.  Software-Defined Industrial Internet of Things in the Context of Industry 4.0 , 2016, IEEE Sensors Journal.

[5]  Neeraj Kumar,et al.  SDN-Based Data Center Energy Management System Using RES and Electric Vehicles , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[6]  Osama A. Mohammed,et al.  Software defined networking for resilient communications in Smart Grid active distribution networks , 2016, 2016 IEEE International Conference on Communications (ICC).

[7]  Alagan Anpalagan,et al.  Industrial Internet of Things Driven by SDN Platform for Smart Grid Resiliency , 2019, IEEE Internet of Things Journal.

[8]  Yong Xiang,et al.  A General QoS Aware Flow-Balancing and Resource Management Scheme in Distributed Software-Defined Networks , 2016, IEEE Access.

[9]  Shaowei Wang,et al.  Aggregation points planning for software-defined network based smart grid communications , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[10]  Joel J. P. C. Rodrigues,et al.  Data Offloading in 5G-Enabled Software-Defined Vehicular Networks: A Stackelberg-Game-Based Approach , 2017, IEEE Communications Magazine.

[11]  Hamid Sharif,et al.  A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges , 2013, IEEE Communications Surveys & Tutorials.

[12]  Deng Pan,et al.  OpenFlow based flow level bandwidth provisioning for CICQ switches , 2011, 2011 Proceedings IEEE INFOCOM.

[13]  John R. Williams,et al.  P3: Privacy Preservation Protocol for Automatic Appliance Control Application in Smart Grid , 2014, IEEE Internet of Things Journal.

[14]  Neeraj Kumar,et al.  SDN-based energy management scheme for sustainability of data centers: An analysis on renewable energy sources and electric vehicles participation , 2017, J. Parallel Distributed Comput..

[15]  Julie A. McCann,et al.  UbiFlow: Mobility management in urban-scale software defined IoT , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).