A survey on resource allocation in software defined networks (SDN)

With emerging use of real time communication (i.e., high band width videos, video calls etc.) and IoT, this become challenge to manage network and handle traffic. SDN is a technology which provides scalability and flexibility to network by decoupling of control plane and data plane. It is also difficult to allocate resources depending upon types of tasks and user requirements. SDN central controller provides global view of network which makes resource allocation more reliable. In this paper, survey of recently proposed techniques for research allocation in SDN will be presented.

[1]  Bi Jun,et al.  Allocation and scheduling of network resource for multiple control applications in SDN , 2015, China Communications.

[2]  Jim Esch,et al.  Software-Defined Networking: A Comprehensive Survey , 2015, Proc. IEEE.

[3]  Mingwei Xu,et al.  Quokka: Latency-Aware Middlebox Scheduling with dynamic resource allocation , 2017, J. Netw. Comput. Appl..

[4]  Keith Kirkpatrick,et al.  Software-defined networking , 2013, CACM.

[5]  Alfio Lombardo,et al.  An Analytical Model to Design Processor Sharing for SDN/NFV Nodes , 2016, 2016 28th International Teletraffic Congress (ITC 28).

[6]  Gang Feng,et al.  Resource Allocation in Software Defined Wireless Networks , 2017, IEEE Network.

[7]  Kim-Kwang Raymond Choo,et al.  A multi-objective software defined network traffic measurement , 2017 .

[8]  Tao Wan,et al.  Comparative Analysis of Control Plane Security of SDN and Conventional Networks , 2017, IEEE Communications Surveys & Tutorials.

[9]  Shingo Ata,et al.  Abstract model of SDN architectures enabling comprehensive performance comparisons , 2015, 2015 11th International Conference on Network and Service Management (CNSM).

[10]  Ramesh Govindan,et al.  DREAM: dynamic resource allocation for software-defined measurement , 2015, SIGCOMM 2015.

[11]  Ioannis Lambadaris,et al.  Optimal virtualized network function allocation for an SDN enabled cloud , 2017, Comput. Stand. Interfaces.

[12]  Jie Liu,et al.  Distributed load management algorithms in anycast-based CDNs , 2016, Comput. Networks.

[13]  Nael B. Abu-Ghazaleh,et al.  Wireless Software Defined Networking: A Survey and Taxonomy , 2016, IEEE Communications Surveys & Tutorials.

[14]  Ramesh Govindan,et al.  DREAM , 2014, SIGCOMM.

[15]  Ellen W. Zegura,et al.  Virtual network migration on the GENI wide-area SDN-enabled infrastructure , 2017, 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[16]  Hongyan Cui,et al.  Accurate Network Resource Allocation in SDN according to Traffic Demand , 2015, ICM 2015.

[17]  Yong Xiang,et al.  Are current resources in SDN allocated to maximum performance and minimize costs and maintaining QoS problems? , 2017, ACSW.

[18]  George Pavlou,et al.  Adaptive Resource Management and Control in Software Defined Networks , 2015, IEEE Transactions on Network and Service Management.

[19]  Benxiong Huang,et al.  Bandwidth-aware energy efficient flow scheduling with SDN in data center networks , 2017, Future Gener. Comput. Syst..

[20]  Marie-José Huguet,et al.  Online virtual links resource allocation in Software-Defined Networks , 2015, 2015 IFIP Networking Conference (IFIP Networking).

[21]  Laura Galluccio,et al.  Auction-based resource allocation in OpenFlow multi-tenant networks , 2017, Comput. Networks.

[22]  Achyut Sakadasariya,et al.  Software defined network: Future of networking , 2018, 2018 2nd International Conference on Inventive Systems and Control (ICISC).

[23]  Bing Chen,et al.  SDN-Based Efficient Bandwidth Allocation for Caching Enabled Cognitive Radio Networks , 2016, 2016 IEEE Trustcom/BigDataSE/ISPA.

[24]  Kaiqi Xiong,et al.  Quality of Service (QoS)-Guaranteed Network Resource Allocation via Software Defined Networking (SDN) , 2014, 2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing.

[25]  Bo Fan,et al.  SDN Based Optimal User Cooperation and Energy Efficient Resource Allocation in Cloud Assisted Heterogeneous Networks , 2017, IEEE Access.

[26]  Ying Wang,et al.  Energy efficient resource allocation for heterogeneous cloud radio access networks with user cooperation and QoS guarantees , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[27]  Laizhong Cui,et al.  When big data meets software-defined networking: SDN for big data and big data for SDN , 2016, IEEE Network.

[28]  Wei Hu,et al.  A novel profit-allocation strategy for SDN enterprises , 2017, Enterp. Inf. Syst..

[29]  Marivi Higuero,et al.  A Survey on the Contributions of Software-Defined Networking to Traffic Engineering , 2017, IEEE Communications Surveys & Tutorials.

[30]  Choong Seon Hong,et al.  SDN based optimal user association and resource allocation in heterogeneous cognitive networks , 2015, 2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS).

[31]  Antonio Pescapè,et al.  Challenges and solution for measuring available bandwidth in software defined networks , 2017, Comput. Commun..