Multi-Site Resource Allocation in a QoS-Aware 5G Infrastructure

被引:3
|
作者
Bolla, Raffaele [1 ,2 ]
Bruschi, Roberto [1 ,2 ,3 ]
Davoli, Franco [1 ,2 ]
Lombardo, Chiara [3 ]
Pajo, Jane Frances [4 ]
机构
[1] Univ Genoa, Dept Elect Elect & Telecommun Engn & Naval Archit, I-16145 Genoa, Italy
[2] Italian Natl Consortium Telecommun CNIT, Natl Lab Smart & Secure Networks, I-43124 Genoa, Italy
[3] CNIT S2N Natl Lab, I-43124 Genoa, Italy
[4] Telenor Res, N-1360 Fornebu, Norway
基金
欧盟地平线“2020”;
关键词
5G mobile communication; Computer architecture; Cloud computing; Quality of service; Delays; Costs; Resource management; 5G; multi-site resource allocation; network slicing; OSS microservices; resource selection; vertical applications%; DEPLOYMENT;
D O I
10.1109/TNSM.2022.3151468
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Network softwarization has paved the way for 5G technologies, and a wide-range of (radically new) verticals. As the telecommunications infrastructure evolves into a sort of distributed datacenter, multiple tenants such as vertical industries and network service providers share its aggregate pool of resources (e.g., networking, computing, etc.) in a layered "as-a-Service" approach exposed as slice abstractions. The challenge remains in the coordination of various stakeholders' assets in realizing end-to-end network slices and supporting the multi-site deployment and chaining of the micro-service components needed to implement cloud-native vertical applications (vApps). In this context, particular care must be taken to ensure that the required resources are identified, made available and managed in a way that satisfies the vApp requirements, allows for a fair share of resources and has a reasonable impact on the overall vApp deployment time. With these challenges in mind, this paper presents the Resource Selection Optimizer (RSO)- a software-service in the MATILDA Operations Support System (OSS), whose main goal is to select the most appropriate network and computing resources (according to some criterion) among a list of options provided by the Wide-area Infrastructure Manager (WIM). It consists of three submodules that respectively handle: (i) the aggregation of vApp components based on affinities, (ii) the forecasting of (micro-) datacenter resources utilization, (iii) and the multi-site placement of the (aggregated) vApp micro-service components. The RSO's performance is mainly evaluated in terms of the execution times of its submodules while varying their respective input parameters, and additionally, three selection policies are also compared. Experimental results aim to highlight the RSO behavior in both execution times and deployment costs, as well as the RSO interactions with other OSS submodules and network platform components, not only for multi-site vApp deployment but also for other network/services management operations.
引用
收藏
页码:2034 / 2047
页数:14
相关论文
共 50 条
  • [21] Coordinated Caching and QoS-Aware Resource Allocation for Spectrum Sharing
    Konstantinos Ntougias
    Constantinos B. Papadias
    Georgios K. Papageorgiou
    Gerhard Hasslinger
    Troels B. Sorensen
    Wireless Personal Communications, 2022, 126 : 49 - 79
  • [22] 5G QoS Resource Allocation Optimization Mechanism for gNB
    Cao, Yaping
    Sun, Ying
    Liu, Bo
    2022 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2022, : 1194 - 1199
  • [23] QoS-Aware Cell Association in 5G Heterogeneous Networks with Massive MIMO
    Wang, Ping
    Song, Wei
    Niyato, Dusit
    Xiao, Yong
    IEEE NETWORK, 2015, 29 (06): : 76 - 82
  • [24] QoS-Aware UAV Coverage path planning in 5G mmWave network
    Shi, Lin
    Xu, Shoukun
    Liu, Haoyu
    Zhan, Zhongxu
    COMPUTER NETWORKS, 2020, 175
  • [25] QoS-Aware UAV Coverage path planning in 5G mmWave network
    Shi, Lin
    Xu, Shoukun
    Liu, Haoyu
    Zhan, Zhongxu
    Computer Networks, 2020, 175
  • [26] A Monitoring Framework for Multi-Site 5G Platforms
    Perez, Ramon
    Garcia-Reinoso, Jaime
    Zabala, Aitor
    Serrano, Pablo
    Banchs, Albert
    2020 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC 2020), 2020, : 52 - 56
  • [27] QoS-aware resource allocation for multicast service over vehicular networks
    Zhou, Hao
    Wang, Xiaoyan
    Liu, Zhi
    Zhao, Xiaoming
    Ji, Yusheng
    Yamada, Shigeki
    2016 8TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS & SIGNAL PROCESSING (WCSP), 2016,
  • [28] QoS-Aware Routing and Resource Allocation Techniques for Enhanced Network Performance
    Deshmukh, Pradeep Kundlik
    Mane, Deepak T.
    JOURNAL OF ELECTRICAL SYSTEMS, 2023, 19 (02) : 78 - 86
  • [29] QoS-Aware Dynamic Resource Allocation for Spatial-Multitasking GPUs
    Aguilera, Paula
    Morrow, Katherine
    Kim, Nam Sung
    2014 19TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC), 2014, : 726 - 731
  • [30] QoS-Aware Resource Allocation for LTE-A Systems with Carrier Aggregation
    Miao, Wang
    Min, Geyong
    Jiang, Yuming
    Jin, Xiaolong
    Wang, Haozhe
    2014 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2014, : 1403 - 1408