A Survey on Autonomic Provisioning and Management of QoS in SDN Networks

被引:35
作者
Binsahaq, Ahmed [1 ]
Sheltami, Tarek R. [1 ]
Salah, Khaled [2 ]
机构
[1] King Fahd Univ Petr & Minerals, Comp Engn Dept, Dhahran 31261, Saudi Arabia
[2] Khalifa Univ, Elect & Comp Engn Dept, Abu Dhabi, U Arab Emirates
关键词
Autonomic computing; autonomous systems; automation; autonomic networking; SDN; QoS; SOFTWARE-DEFINED NETWORKING; RESOURCE-ALLOCATION; MONITORING SCHEME; SYSTEM; VIDEO; FRAMEWORK; LATENCY; DELAY; OPTIMIZATION; ARCHITECTURE;
D O I
10.1109/ACCESS.2019.2919957
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In today's Internet, killer network services and applications, such as video and audio streaming, network storage, and online video games, are pushing the network infrastructure resources to the edge. By design and for the most part, the Internet is the best offer delivery ecosystem with little or no end-to-end quality-of-service (QoS) guarantees. Even, frameworks, such as IntServ and DiffServ that were designed and implemented to provide QoS guarantees, still fail to solve this problem at a wide scale. Software-defined networking (SDN) is a fast emerging networking paradigm that promises to provide end-to-end QoS guaranteeing by offering greater network flexibility, abstraction, control, and programmability to network resources. In this paper, we review, survey, and discuss the current state of the art on QoS provisioning in the area of SDN, with respect to applying the concept of autonomic computing (AC) to automatically support, provision, monitor, and maintain QoS requirements. This paper includes in-depth classification, taxonomy, and comparative analysis for the autonomic-based QoS provisioning in accordance with the famous influential and widely adopted the monitor-analyze-plan-execute-knowledge (MAPE-K) IBM architectural model for autonomic computing.
引用
收藏
页码:73384 / 73435
页数:52
相关论文
共 271 条
[1]   Enhancing QoE based on Machine Learning and DASH in SDN networks [J].
Abar, Tasnim ;
Ben Letaifa, Asma ;
Elasmi, Sadok .
2018 32ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA), 2018, :258-263
[2]   How modeling QoE requirements using Game Theory [J].
Abar, Tasnim ;
Ben Letaifa, Asma ;
El Asmi, Sadok .
2018 32ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA), 2018, :147-152
[3]  
Abar T, 2017, INT WIREL COMMUN, P1395, DOI 10.1109/IWCMC.2017.7986488
[4]   SDN based architecture to improve video streaming in home networks [J].
Abuteir, Rabee Mustapha ;
Fladenmuller, Anne ;
Fourmaux, Olivier .
IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS IEEE AINA 2016, 2016, :220-226
[5]  
Aduba Donald C. Jr., 2017, Bioengineering-Basel, V4, P1, DOI 10.3390/bioengineering4010001
[6]  
Afaq M, 2015, ASIA-PAC NETW OPER M, P444, DOI 10.1109/APNOMS.2015.7275384
[7]   Detecting heavy flows in the SDN match and action model [J].
Afek, Yehuda ;
Bremler-Barr, Anat ;
Feibish, Shir Landau ;
Schiff, Liron .
COMPUTER NETWORKS, 2018, 136 :1-12
[8]   Sampling and Large Flow Detection in SDN [J].
Afek, Yehuda ;
Bremler-Barr, Anat ;
Feibish, Shir Landau ;
Schiff, Liron .
ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2015, 45 (04) :345-346
[9]   Quality of Service (QoS) Guaranteed Network Resource Allocation via Software Defined Networking (SDN) [J].
Akella, Anand V. ;
Xiong, Kaiqi .
2014 IEEE 12TH INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING (DASC)/2014 IEEE 12TH INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTING (EMBEDDEDCOM)/2014 IEEE 12TH INTERNATIONAL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING (PICOM), 2014, :7-+
[10]  
Al-Shabibi Ali., 2014, P 3 WORKSHOP HOT TOP, P25, DOI DOI 10.1145/2620728.2620741