An Adaptive Approach for Controller Placement Problem in Software Defined Networks

被引:0
作者
Talhar, Priyanka [1 ]
Bhagat, Amol P. [1 ]
机构
[1] Prof Ram Meghe Coll Engn & Management, PG Dept Comp Sci & Engn, Badnera, Amravati, India
来源
2018 IEEE INTERNATIONAL CONFERENCE ON RESEARCH IN INTELLIGENT AND COMPUTING IN ENGINEERING (RICE III) | 2018年
关键词
Adaptive controller placement; controller locations; controller placement problem; performance metrics; software defined network; ARCHITECTURE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a problem in today's computer network architectures and offers a solution through the presentation of Software Defined Network architecture (SDN) and the OpenFlow protocol. Then it uses OpenFlow protocol and communication within the SDN architecture. A particularly important task in SDN architectures is that of controller placement, i.e., the positioning of a limited number of resources within a network in order to meet various requirements. These requirements range from latency constraints to failure tolerance and load balancing. The controller placement problem (CPP) is one of the key challenges of software defined networks to increase performance. Given the locations of switches, CPP consists of choosing the controller locations that minimize the latency between switches and controllers. In this paper the controller placement problem is introduced that consists of (i) determining the locations of controller modules to bound communication latencies, and of (ii) determining the number of controllers per module to support the load. In this work ns-3.26 and OpenFlowSwitch (OFS) version 1.3 are used for the demonstration of the proposed strategies. If the nodes in the SDN doesn't have the routing information then the proposed model first time communicates through adaptive controller. The involvement of controller in communication is adaptively identified. Then for the further communication only nodes will communicate without controller. The proposed methodology is simulated using NetAnim. This paper also presents the evaluation of the proposed methodology on the basis of various parameters.
引用
收藏
页数:11
相关论文
共 50 条
[1]   Adaptive Controller Placement in Software Defined Wireless Networks [J].
Li, Feixiang ;
Xu, Xiaobin ;
Han, Xiao ;
Gao, Shengxin ;
Wang, Yupeng .
CHINA COMMUNICATIONS, 2019, 16 (11) :81-92
[2]   Adaptive Controller Placement in Software Defined Wireless Networks [J].
Feixiang Li ;
Xiaobin Xu ;
Xiao Han ;
Shengxin Gao ;
Yupeng Wang .
中国通信, 2019, 16 (11) :81-92
[3]   Multi criteria analysis of Controller Placement Problem in Software Defined Networks [J].
Jalili, Ahmad ;
Keshtgari, Manijeh ;
Akbari, Reza ;
Javidan, Reza .
COMPUTER COMMUNICATIONS, 2019, 133 :115-128
[4]   Controller placement in software defined networks: A Comprehensive survey [J].
Killi, Bala Prakasa Rao ;
Rao, Seela Veerabhadreswara .
COMPUTER NETWORKS, 2019, 163
[5]   An Effective Approach to Controller Placement in Software Defined Wide Area Networks [J].
Wang, Guodong ;
Zhao, Yanxiao ;
Huang, Jun ;
Wu, Yulei .
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2018, 15 (01) :344-355
[6]   Controller placement problem in software-defined networking: A survey [J].
Kumari, Abha ;
Sairam, Ashok Singh .
NETWORKS, 2021, 78 (02) :195-223
[7]   Game-Theoretic Approach to Attack Planning and Controller Placement in Software Defined Networks [J].
Junosza-Szaniawski, Konstanty ;
Nogalski, Dariusz .
2023 INTERNATIONAL CONFERENCE ON MILITARY COMMUNICATIONS AND INFORMATION SYSTEMS, ICMCIS, 2023,
[8]   A density algorithm for controller placement problem in software defined wide area networks [J].
He, Dun ;
Chen, Jue ;
Qiu, Xihe .
JOURNAL OF SUPERCOMPUTING, 2023, 79 (05) :5374-5402
[9]   A density algorithm for controller placement problem in software defined wide area networks [J].
Dun He ;
Jue Chen ;
Xihe Qiu .
The Journal of Supercomputing, 2023, 79 :5374-5402
[10]   Towards Dynamic Controller Placement in Software Defined Vehicular Networks [J].
Toufga, Soufian ;
Abdellatif, Slim ;
Assouane, Hamza Tarik ;
Owezarski, Philippe ;
Villemur, Thierry .
SENSORS, 2020, 20 (06)