Traffic Engineering and QoS/QoE Supporting Techniques for Emerging Service-Oriented Software-Defined Network

被引:5
作者
Beshley, Mykola [1 ]
Kryvinska, Natalia [2 ]
Beshley, Halyna [1 ]
Panchenko, Oleksiy [1 ]
Medvetskyi, Mykhailo [1 ]
机构
[1] Lviv Polytech Natl Univ, Dept Telecommun, Lvov, Ukraine
[2] Comenius Univ, Dept Informat Syst, Fac Management, Bratislava, Slovakia
关键词
Quality of experience (QoE); quality of service (QoS); service level agreements (SLA); service-oriented architecture (SOA); service-oriented software-defined network (SOSDN); software-defined network (SDN); QOS; ARCHITECTURE; MANAGEMENT; SYSTEM; AWARE;
D O I
10.23919/JCN.2023.000065
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The future integration of software-defined network (SDN) with the service-oriented architecture (SOA) paradigm requires new solutions to ensure the quality of service (QoS) according to the users' requirements. The paper presents a user experience-centric approach to traffic engineering and QoS/quality of experience (QoE) support for service-oriented software-defined network (SOSDN) architecture. This approach is to enable end-to-end QoS across the networking and computing domain by monitoring and agreeing on the dynamic state of their functioning. The proposed SOSDN is based on improved traffic engineering techniques, such as adaptive prioritization of services, server selection, and QoS/QoE-based routing. The developed adaptive service prioritization algorithm automatically changes the priority of flows in the network operation mode by the SDN controller for individual users under the concluded service level agreements (SLA) contract. We proposed a mathematical model of correlation of user satisfaction level by QoE score with technical QoS parameters. This model is based on the normalized value of the integral additive QoS criterion. Accordingly, ensuring the ordered user-centric QoS/QoE is carried out by means of proposed multi-criteria adaptive routing of data flows, the metric of which is based on the integral additive QoS criterion. The simulation results showed that, in contrast to known practical solutions, the integrated use of the proposed method of adaptive multi-criteria routing and prioritization of data flows provides a high level of QoE required by users in the SOSDN paradigm.
引用
收藏
页码:99 / 114
页数:16
相关论文
共 45 条
[1]  
Afaq M., 2016, P APNOMS
[2]   QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey [J].
Barakabitze, Alcardo Alex ;
Barman, Nabajeet ;
Ahmad, Arslan ;
Zadtootaghaj, Saman ;
Sun, Lingfen ;
Martini, Maria G. ;
Atzori, Luigi .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2020, 22 (01) :526-565
[3]   Centralized QoS Routing Model for Delay/Loss Sensitive Flows at the SDN-IoT Infrastructure [J].
Beshley, Mykola ;
Kryvinska, Natalia ;
Beshley, Halyna ;
Medvetskyi, Mykhailo ;
Barolli, Leonard .
CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 69 (03) :3727-3748
[4]   Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking [J].
Beshley, Mykola ;
Vesely, Peter ;
Pryslupskyi, Andrii ;
Beshley, Halyna ;
Kyryk, Marian ;
Romanchuk, Vasyl ;
Kahalo, Ihor .
APPLIED SCIENCES-BASEL, 2020, 10 (22) :1-38
[5]   End-to-End QoS "Smart Queue" Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks [J].
Beshley, Mykola ;
Kryvinska, Natalia ;
Seliuchenko, Marian ;
Beshley, Halyna ;
Shakshuki, Elhadi M. ;
Yasar, Ansar-Ul-Haque .
SENSORS, 2020, 20 (08)
[6]  
Beshley M, 2017, EXP DES APPL CAD SYS, P298, DOI 10.1109/CADSM.2017.7916140
[7]   Service-Oriented System Engineering [J].
Bessis, Nik ;
Zhai, Xiaojun ;
Sotiriadis, Stelios .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 80 :211-214
[8]   A Survey on Autonomic Provisioning and Management of QoS in SDN Networks [J].
Binsahaq, Ahmed ;
Sheltami, Tarek R. ;
Salah, Khaled .
IEEE ACCESS, 2019, 7 :73384-73435
[9]  
Danjuma S., 2021, SCI WORLD J-NIGERIA, V16, P357
[10]   Convergence of Networking and Cloud/Edge Computing: Status, Challenges, and Opportunities [J].
Duan, Qiang ;
Wang, Shangguang ;
Ansari, Nirwan .
IEEE NETWORK, 2020, 34 (06) :148-155