Cost and QoS Balanced Service Function Graph Scaling Algorithm in Cloud-Edge Collaborative Multimedia IoT

被引：3

作者：

Lei, Chenghao ^{[1
]}

Xu, Siya ^{[1
]}

Qi, Feng ^{[1
]}

Yu, Peng ^{[1
]}

Qiu, Xuesong ^{[1
]}

Sun, Yao ^{[2
]}

Zhu, Diwen ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China

[2] State Grid Liaoning Elect Power Co Ltd, State Grid Dalian Elect Power Supply Co, Dalian, Peoples R China

来源：

2022 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB) | 2022年

基金：

中国国家自然科学基金;

关键词：

keyword;

D O I：

10.1109/BMSB55706.2022.9828732

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the development of 5G and the Internet of Things (IoT), service function chain (SFC) scaling has become an important solution for dynamic management of cloud-edge network resources. Traditional single-SFC scaling algorithms have disadvantages in the overall load balance and scaling efficiency contrary to multi-SFC scaling algorithms. However, the efficiency and resource utilization of multi-SFC approaches can be further improved through service function graph (SFG) based algorithms. How to ensure the QoS of different sub-services and deal with the complexity of SFG scaling are existing problems. Therefore, this paper proposes a comprehensive optimization evaluation model for service function graph (SFG) scaling problem in cloud-edge collaborative Multimedia IoT (CECMIoT). Then, a cost and QoS balanced scaling deployment algorithm based on SFG is designed. The simulation results demonstrate that the proposed algorithm has a better performance than the comparison algorithms in the aspect of maintaining the acceptance rate of SFCs and reducing the integrated deployment cost of SFG.

引用

页数：6

共 14 条

[11] Dynamically Scaling Applications in the Cloud [J].

Vaquero, Luis M. ;

Rodero-Merino, Luis ;

Buyya, Rajkumar .

ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2011, 41 (01) :45-52

[12]

Williams Dan, 2013, NSDI

[13] Fine-Grained Resource Provisioning and Task Scheduling for Heterogeneous Applications in Distributed Green Clouds [J].

Yuan, Haitao ;

Zhou, MengChu ;

Liu, Qing ;

Abusorrah, Abdullah .

IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 7 (05) :1380-1393

[14]

Zhou WL, 2019, IEEE ICC

← 1 2 →