Latency-Aware Service Function Chain Placement in 5G Mobile Networks

被引:0
作者
Harutyunyan, Davit [1 ]
Shahriar, Nashid [2 ]
Boutaba, Raouf [2 ]
Riggio, Roberto [1 ]
机构
[1] FBK CREATE NET, Trento, TN, Italy
[2] Univ Waterloo, David R Cheriton Sch Comp Sci, Waterloo, ON, Canada
来源
PROCEEDINGS OF THE 2019 IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2019) | 2019年
基金
欧盟地平线“2020”;
关键词
Latency-sensitive Services; Resource Allocation; Service Function Chain Placement; Mobile Networks;
D O I
10.1109/netsoft.2019.8806646
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The 5th generation mobile network (5G) is expected to support numerous services with versatile quality of service (QoS) requirements such as high data rates and low end-to-end (E2E) latency. It is widely agreed that E2E latency can be significantly reduced by moving content / computing capability closer to the network edge. However, since the edge nodes (i.e., base stations) have limited computing capacity, mobile network operators shall make a decision on how to provision the computing resources to the services in order to make sure that the E2E latency requirement of the services are satisfied while the network resources (e.g., computing, radio, and transport network resources) are used in an efficient manner. In this work, we employ integer linear programming (ILP) techniques to formulate and solve a joint user association, service function chain (SFC) placement, and resource allocation problem where SFCs, composed of virtualized service functions (VSFs), represent user requested services that have certain E2E latency and data rate requirements. Specifically, we compare three variants of an ILP-based algorithm that aim to minimize E2E latency of requested services, service provisioning cost, and VSF migration frequency, respectively. We then propose a heuristic in order to address the scalability issue of the ILP-based solutions. Simulations results demonstrate the effectiveness of the proposed heuristic algorithm.
引用
收藏
页码:133 / 141
页数:9
相关论文
共 50 条
[41]   A Security-Aware Network Function Sharing Model for 5G Slicing [J].
Mahyoub, Mohammed ;
AbdulGhaffar, Abdulaziz ;
Alalade, Emmanuel ;
Matrawy, Ashraf .
SECURITY AND PRIVACY, 2025, 8 (03)
[42]   QoS-Aware and Reliable Traffic Steering for Service Function Chaining in Mobile Networks [J].
Yu, Ruozhou ;
Xue, Guoliang ;
Zhang, Xiang .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2017, 35 (11) :2522-2531
[43]   End-System Aware Large File Transfer Solution for Rich Media Applications over 5G Mobile Networks [J].
Lyu, Xukang ;
Wu, Chase Q. .
ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2020, PT I, 2020, 12452 :205-218
[44]   Automating Device Fingerprinting Attacks in 4G and 5G NSA Mobile Networks [J].
Fraunholz, Daniel ;
Brunke, Dominik ;
Dumanski, Lorenz ;
Koenig, Hartmut .
FOUNDATIONS AND PRACTICE OF SECURITY, FPS 2022, 2023, 13877 :192-207
[45]   Simultaneous Wireless Information and Power Transfer in 5G Mobile Networks: A Survey [J].
Liang, Yihan ;
He, Yejun ;
Qiao, Jian ;
Hu, Aiguo Patrick .
2019 COMPUTING, COMMUNICATIONS AND IOT APPLICATIONS (COMCOMAP), 2019, :460-465
[46]   Proactive Caching for Mobile Video Streaming in Millimeter Wave 5G Networks [J].
Qiao, Jian ;
He, Yejun ;
Shen, Xuemin .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2016, 15 (10) :7187-7198
[47]   Enabling Adaptive Data Prefetching in 5G Mobile Networks with Edge Caching [J].
Liang, Chengchao ;
Yu, F. Richard ;
Ngoc Dao ;
Senarath, Gamini ;
Farmanbar, Hamid .
2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
[48]   Review of Heterogeneous Wireless Fusion in Mobile 5G Networks: Benefits and Challenges [J].
Gao, Yuan ;
Hong, Ao ;
Zhou, Quan ;
Li, Zhaoyang ;
Zhou, Weigui ;
Cheng, Shaochi ;
Li, Xiangyang ;
Li, Yi .
COLLABORATE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING, COLLABORATECOM 2016, 2017, 201 :453-461
[49]   Community-Aware Pricing Game for Utility Maximization in 5G Heterogeneous Networks [J].
Ekwe, Stephen ;
Ventura, Neco .
13TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATION SYSTEMS (IEEE ANTS), 2019,
[50]   AI-driven, Context-Aware Profiling for 5G and Beyond Networks [J].
Koursioumpas, Nikolaos ;
Barmpounakis, Sokratis ;
Stavrakakis, Ioannis ;
Alonistioti, Nancy .
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2022, 19 (02) :1036-1048