Elastic Auto-Scaling Architecture in Telco Cloud

被引：1

作者：

Cao, Dang Sao ^{[1
,2
]}

Nguyen, Dinh Tam ^{[1
,2
]}

Nguyen, Xuan Chinh ^{[1
]}

Tran, Van Thuyet ^{[1
]}

Nguyen, Hai Binh ^{[1
]}

Lang, Khac Thuan ^{[1
]}

Nguyen, Van Tuan ^{[1
]}

Dao, Ngoc Lam ^{[1
]}

Pham, Thanh Tu ^{[1
]}

Cao, Ngoc Son ^{[1
]}

Chu, Dinh Hung ^{[1
]}

Nguyen, Phi Hung ^{[1
]}

Pham, Cong Dan ^{[1
]}

Nguyen, Duc Hai ^{[1
]}

机构：

[1] Viettel Grp, OCS Res Ctr, Viettel High Technol, Hanoi, Vietnam

[2] Hanoi Univ Sci & Technol, Hanoi, Vietnam

来源：

2023 25TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY, ICACT | 2023年

关键词：

Auto-scaling; Scalability; Telecom; Telco Cloud; Cloud computing; Cloud-native;

D O I：

10.23919/ICACT56868.2023.10079575

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Cloud Computing has been the development trend of the world because of many benefits such as cost, scalability, performance, security, speed, productivity, and reliability. Then it is applied in many different fields. In particular, in the field of Telco cloud, the movement has developed strongly in recent times of fifth-generation (5G) telecommunication applications technology, meeting the ability to create quick and reliable telecommunications services with the support of automation, calculating elastic through Auto-Scaling mechanism. Now the cloud development in two directions is Virtualized Network Functions (VNFs) and Containerized Network Functions (CNFs), so Auto Scaling must adapt to their presence. So here we offer Auto Scaling architecture with two algorithms suitable for Telco Cloud infrastructure to meet both VNF and CNF with a single module.

引用

页码：401 / 406

页数：6

共 50 条

[1] Efficient Auto-scaling Approach in the Telco Cloud using Self-learning Algorithm
Tang, Pengcheng
Li, Fei
Zhou, Wei
Hu, Weihua
Yang, Li
[J]. 2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
[2] A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments
Tania Lorido-Botran
Jose Miguel-Alonso
Jose A. Lozano
[J]. Journal of Grid Computing, 2014, 12 : 559 - 592
[3] A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments
Lorido-Botran, Tania
Miguel-Alonso, Jose
Lozano, Jose A.
[J]. JOURNAL OF GRID COMPUTING, 2014, 12 (04) : 559 - 592
[4] An event-driven and lightweight proactive auto-scaling architecture for cloud applications
Akash, Uttom
Paul, Partha Protim
Habib, Ahsan
[J]. INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING, 2023, 14 (05) : 539 - 551
[5] DDoS Attack on Cloud Auto-scaling Mechanisms
Bremler-Barr, Anat
Brosh, Eli
Sides, Mor
[J]. IEEE INFOCOM 2017 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS, 2017,
[6] An Auto-scaling Framework for Containerized Elastic Applications
Tian Ye
Xue Guangtao
Qian Shiyou
Li Minglu
[J]. 2017 3RD INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING AND COMMUNICATIONS (BIGCOM), 2017, : 422 - 430
[7] Reinforcement Learning-Based Auto-scaling Algorithm for Elastic Cloud Workflow Service
Lu, Jian-bin
Yu, Yang
Pan, Mao-lin
[J]. PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES, PDCAT 2021, 2022, 13148 : 303 - 310
[8] An Autonomic Auto-scaling Controller for Cloud Based Applications
Londono-Peldaez, Jorge M.
Florez-Samur, Carlos A.
[J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2013, 4 (09) : 1 - 6
[9] An Auto-Scaling Approach for Microservices in Cloud Computing Environments
Matineh ZargarAzad
Mehrdad Ashtiani
[J]. Journal of Grid Computing, 2023, 21
[10] A survey on auto-scaling: how to exploit cloud elasticity
Catillo, Marta
Villano, Umberto
Rak, Massimiliano
[J]. INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING, 2023, 14 (01) : 37 - 50

← 1 2 3 4 5 →