Offline Joint Network and Computational Resource Allocation for Energy-Efficient 5G and beyond Networks

被引:4
|
作者
Gatzianas, Marios [1 ,2 ]
Mesodiakaki, Agapi [1 ,2 ]
Kalfas, George [1 ,2 ]
Pleros, Nikos [1 ,2 ]
Moscatelli, Francesca [3 ]
Landi, Giada [3 ]
Ciulli, Nicola [3 ]
Lossi, Leonardo [3 ]
机构
[1] Aristotle Univ Thessaloniki, Dept Informat, Thessaloniki 54124, Greece
[2] Ctr Interdisciplinary Res & Innovat, Thessaloniki 57001, Greece
[3] Nextworks, I-56122 Pisa, Italy
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 22期
基金
欧盟地平线“2020”;
关键词
multi-access edge computing; virtual network function; service function chaining; mixed integer linear program; network orchestration; VIRTUAL NETWORK; PLACEMENT; BACKHAUL; ACCESS; AWARE;
D O I
10.3390/app112210547
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In order to cope with the ever-increasing traffic demands and stringent latency constraints, next generation, i.e., sixth generation (6G) networks, are expected to leverage Network Function Virtualization (NFV) as an enabler for enhanced network flexibility. In such a setup, in addition to the traditional problems of user association and traffic routing, Virtual Network Function (VNF) placement needs to be jointly considered. To that end, in this paper, we focus on the joint network and computational resource allocation, targeting low network power consumption while satisfying the Service Function Chain (SFC), throughput, and delay requirements. Unlike the State-of-the-Art (SoA), we also take into account the Access Network (AN), while formulating the problem as a general Mixed Integer Linear Program (MILP). Due to the high complexity of the proposed optimal solution, we also propose a low-complexity energy-efficient resource allocation algorithm, which was shown to significantly outperform the SoA, by achieving up to 78% of the optimal energy efficiency with up to 742 times lower complexity. Finally, we describe an Orchestration Framework for the automated orchestration of vertical-driven services in Network Slices and describe how it encompasses the proposed algorithm towards optimized provisioning of heterogeneous computation and network resources across multiple network segments.
引用
收藏
页数:23
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