Service Aware Network

REN Jie; WANG Hong-chao; WANG Qin-ding; XIONG Hao; YANG Dong; ZHANG Hong-ke; TAN Bin; GUO Yong; HUANG Guang-ping

doi:10.12263/DZXB.20240400

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Service Aware Network

PAPERS | 更新时间：2025-12-08

- Service Aware Network
- ACTA ELECTRONICA SINICA Vol. 53, Issue 2, Pages: 371-384(2025)
- 作者机构：
  
  1.北京交通大学电子信息工程学院，北京 100044
  2.中兴通讯股份有限公司，上海 201203
  3.中兴通讯股份有限公司，江苏南京 210012
- 作者简介：
- 基金信息：
  
  National Key Research and Development Program of China(2022YFB2901302);National Natural Science Foundation of China(62394325)
- DOI：10.12263/DZXB.20240400
  CLC： TN913.21;
- Received：06 May 2024，
  
  Revised：2024-11-01，
  
  Published：25 February 2025
- 稿件说明：
移动端阅览
任杰, 王洪超, 王钦定, 等. 服务感知网络[J]. 电子学报, 2025, 53(02): 371-384.

REN Jie, WANG Hong-chao, WANG Qin-ding, et al. Service Aware Network[J]. Acta Electronica Sinica, 2025, 53(02): 371-384.
任杰, 王洪超, 王钦定, 等. 服务感知网络[J]. 电子学报, 2025, 53(02): 371-384. DOI：10.12263/DZXB.20240400

REN Jie, WANG Hong-chao, WANG Qin-ding, et al. Service Aware Network[J]. Acta Electronica Sinica, 2025, 53(02): 371-384. DOI：10.12263/DZXB.20240400

摘要

随着人工智能、大数据、云计算等新技术和新业务的蓬勃发展，其中起支撑性作用的互联网应用间的通信范式也逐步由传统的“请求—获取”一段式演进到复杂的“请求—计算—获取”二段式.新的通信范式不仅要求网络提供传统的数据传输与信息传递的渠道，还要求网络将计算以互联网公共服务的形式对外开放，深化计算与网络融合，促进社会的数字经济发展.然而，在当前TCP/IP架构为代表的网络体系架构中，解析发现、网络感知、路由计算等关键机制存在一些弊端，使其难以成为面向通信计算融合新型应用的数据基座.本文提出服务感知网络（Service Aware Network，SAN）实现架构，该架构系统性地改变了现有主机互联的设计，为算网融合等新应用场景提供全面、开放、有保障的内生服务互联支持.在SAN中，语义服务标识使用户终端能根据服务类型发起位置无关的高效端到端连接，算网需求感知为网络主动获取算力与带宽需求提供有效途径，两级两层路由既实现了联合算网二维资源的路由编排，又保障了在不同的网络开放程度下SAN部署的可行性和有效性.SAN的重要优势是在设计之初就系统性考虑了与现有网络基础设施的兼容和共存，通过增量部署的方式避免对现有网络进行重大改造，在不影响现网已有功能的同时实现全新机制，推动网络从主机互联到服务互联的平滑演进.实验表明SAN路由机制与基准路由算法相比分别降低了35.4%和17.5% 的服务完成时间上限，同时实现了更为均衡高效的算网资源利用.

Abstract

With the vigorous development of new technologies and services such as artificial intelligence

big data

cloud computing

etc.

the communication paradigm between Internet applications

which plays a supporting role

has evolved from the traditional “request-get” one-stage to the complex “request-compute-get” two-stage. The new communication paradigm requires the network not only to provide the data transmission channels but also to assume the role of opening up computation in the form of public services on the Internet

thus deepening the integration of computing and network and promoting the development of the digital economy. However

in the network architecture represented by the current TCP/IP architecture

there are some drawbacks in the core mechanisms

including resolution and discovery

network awareness

and route computation

which make it difficult to become a foundation for new applications oriented to the convergence of communication and computing. In this paper

we propose a new implementation architecture named service aware network (SAN)

which systematically changes the existing design of host interconnection to provide comprehensive

open

and guaranteed endogenous service interconnection support for new scenarios such as computing network convergence. In SAN

a semantic service identifier enables user terminals to initiate location-independent connections based on service types. Computing and network demand awareness provides a proactive method for the network to obtain the requirements of requests. “Two-stage two-layer” routing not only realizes the routing considered two-dimensional computing and bandwidth resources but also guarantees the feasibility and validity of SAN deployment under different degrees of network openness. To quickly implement the concept of SAN

the SAN architecture avoids major transformation of the existing network through incremental deployment. It realizes new mechanisms without affecting the functions of the existing network and promotes the smooth evolution of the network from host interconnection to service interconnection. Experiments show that the SAN routing mechanism reduces the upper bound of service completion time by 35.4% and 17.5%

respectively

compared with the benchmark routing algorithms

and achieves more balanced and efficient computing and network resource usage.

关键词

Keywords

references

TANG X Y , CAO C , WANG Y X , et al . Computing power network: The architecture of convergence of computing and networking towards 6G requirement [J ] . China Communications , 2021 , 18 ( 2 ): 175 - 185 .

DUAN S J , WANG D , REN J , et al . Distributed artificial intelligence empowered by end-edge-cloud computing: A survey [J ] . IEEE Communications Surveys & Tutorials , 2023 , 25 ( 1 ): 591 - 624 .

雷波 , 刘增义 , 王旭亮 , 等 . 基于云、网、边融合的边缘计算新方案: 算力网络 [J ] . 电信科学 , 2019 , 35 ( 9 ): 44 - 51 .

LEI B , LIU Z Y , WANG X L , et al . Computing network: A new multi-access edge computing [J ] . Telecommunications Science , 2019 , 35 ( 9 ): 44 - 51 . (in Chinese)

REN X X , QIU C , WANG X F , et al . AI-bazaar: A cloud-edge computing power trading framework for ubiquitous AI services [J ] . IEEE Transactions on Cloud Computing , 2023 , 11 ( 3 ): 2337 - 2348 .

ZHOU Y Q , LIU L , WANG L , et al . Service-aware 6G: An intelligent and open network based on the convergence of communication, computing and caching [J ] . Digital Communications and Networks , 2020 , 6 ( 3 ): 253 - 260 .

张宏科 , 于成晓 , 权伟 , 等 . 融算网络体系基础研究 [J ] . 电子学报 , 2022 , 50 ( 12 ): 2928 - 2934 .

ZHANG H K , YU C X , QUAN W , et al . Fundamental research on computing integration networking [J ] . Acta Electronica Sinica , 2022 , 50 ( 12 ): 2928 - 2934 . (in Chinese)

QI J P , SU X , WANG R . Toward distributively build time-sensitive-service coverage in compute first networking [J ] . IEEE/ACM Transactions on Networking , 2024 , 32 ( 1 ): 582 - 597 .

TANG S J , YU Y , WANG H , et al . A survey on scheduling techniques in computing and network convergence [J ] . IEEE Communications Surveys & Tutorials , 2024 , 26 ( 1 ): 160 - 195 .

孙彦斌 , 张宇 , 张宏莉 . 信息中心网络体系结构研究综述 [J ] . 电子学报 , 2016 , 44 ( 8 ): 2009 - 2017 .

SUN Y B , ZHANG Y , ZHANG H L . Survey of research on information-centric networking architecture [J ] . Acta Electronica Sinica , 2016 , 44 ( 8 ): 2009 - 2017 . (in Chinese)

CARZANIGA A , PAPALINI M , WOLF A L , et al . Content-based publish/subscribe networking and information-centric networking [C ] // Proceedings of the ACM SIGCOMM Workshop on Information-Centric Networking . New York : ACM , 2011 : 56 - 61 .

AMADEO M , CAMPOLO C , QUEVEDO J , et al . Information-centric networking for the internet of things: Challenges and opportunities [J ] . IEEE Network , 2016 , 30 ( 2 ): 92 - 100 .

ZHANG J L , YE F , QIAN Y . Intelligent and application-aware network traffic prediction in smart access gateways [J ] . IEEE Network , 2020 , 34 ( 3 ): 264 - 269 .

POULARAKIS K , LLORCA J , TULINO A M , et al . Service placement and request routing in MEC networks with storage, computation, and communication constraints [J ] . IEEE/ACM Transactions on Networking , 2020 , 28 ( 3 ): 1047 - 1060 .

张宏科 , 王洪超 , 董平 , 等 . 标识网络体系及关键技术 [M ] . 北京 : 人民邮电出版社 , 2020 .

ZHANG H K , WANG H C , DONG P , et al . Architecture and Key Ttechnologies of Identifier Network [M ] . Beijing : Posts & Telecom Press , 2020 . (in Chinese)

ZHANG H K , SU W , QUAN W . Smart Collaborative Identifier Network [M ] . Berlin : Springer , 2016 .

杨冬 , 程宗荣 , 田伟康 , 等 . 广义确定性标识网络 [J ] . 电子学报 , 2024 , 52 ( 1 ): 1 - 18 .

YANG D , CHENG Z R , TIAN W K , et al . Generalized deterministic identification networks [J ] . Acta Electronica Sinica , 2024 , 52 ( 1 ): 1 - 18 . (in Chinese)

YANG D , ZHANG W T , YE Q , et al . DetFed: Dynamic resource scheduling for deterministic federated learning over time-sensitive networks [J ] . IEEE Transactions on Mobile Computing , 2024 , 23 ( 5 ): 5162 - 5178 .

KNIGHT S , NGUYEN H X , FALKNER N , et al . The internet topology zoo [J ] . IEEE Journal on Selected Areas in Communications , 2011 , 29 ( 9 ): 1765 - 1775 .

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Related Author

HUANG Guang-ping

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Related Institution

School of Electronic and Information Engineering， Beijing Jiaotong University

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School of Electronics and Information Engineering, Beijing Jiaotong University

College of Electronics and Information Engineering, Beijing Jiaotong University

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