End-to-end elasticity control of cloud-network slices

被引:9
作者
Medeiros, Alisson [1 ]
Neto, Augusto [1 ,2 ]
Sampaio, Silvio [1 ]
Pasquini, Rafael [3 ]
Baliosian, Javier [4 ,5 ]
机构
[1] Fed Univ Rio Grande do Norte UFRN, Dept Informat & Appl Math DIMAp, Natal, RN, Brazil
[2] IT, Aveiro, Portugal
[3] Fed Univ Uberlandia UFU, Uberlandia, MG, Brazil
[4] Univ Republ Uruguay UdelaR, Monte Video, Uruguay
[5] Univ Politecn Cataluna, Barcelona, Spain
基金
欧盟地平线“2020”;
关键词
5G; cloud-network slicing; end-to-end slicing; resource elasticity;
D O I
10.1002/itl2.106
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The design of efficient elasticity control mechanisms for dynamic resource allocation is crucial to increase the efficiency of future cloud-network slice-defined systems. Current elasticity control mechanisms proposed for cloud- or network-slicing, only consider cloud- or network-type resources respectively. In this paper, we introduce the elaSticity in cLOud-neTwork Slices (SLOTS) which aims to extend the horizontal elasticity control to multi-providers scenarios in an end-to-end fashion, as well as to provide a novel vertical elasticity mechanism to deal with critical insufficiency of resources by harvesting underused resources on other slices. Finally, we present a preliminary assessment of the SLOTS prototype in a real testbed, revealing outcomes that suggest the viability of the proposal.
引用
收藏
页数:6
相关论文
共 10 条
[1]   Autonomic Vertical Elasticity of Docker Containers with ELASTICDOCKER [J].
Al-Dhuraibi, Yahya ;
Paraiso, Fawaz ;
Djarallah, Nabil ;
Merle, Philippe .
2017 IEEE 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2017, :472-479
[2]   ACCRS: autonomic based cloud computing resource scaling [J].
Al-Sharif, Ziad A. ;
Jararweh, Yaser ;
Al-Dahoud, Ahmad ;
Alawneh, Luay M. .
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2017, 20 (03) :2479-2488
[3]  
[Anonymous], 10 INT WORKSH FEEDB
[4]  
AWS A, 2018, AM TARG TRACK SCAL
[5]  
Carmo M, 2019, WIREL COMMUN MOB COM, V2019, P1
[6]  
Docker, 2019, DOCK SERV SCAL
[7]  
Kan CQ, 2016, INT CONF ADV COMMUN, P478, DOI 10.1109/ICACT.2016.7423440
[8]   A QoS-Based Reactive Auto Scaler for Cloud Environment [J].
Kumar, Dhrub ;
Gondhi, Naveen Kumar .
2017 INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING AND INFORMATION SYSTEMS (ICNGCIS), 2017, :19-23
[9]   A lightweight plug-and-play elasticity service for self-organizing resource provisioning on parallel applications [J].
Righi, Rodrigo da Rosa ;
Rodrigues, Vinicius Facco ;
Rostirolla, Gustavo ;
da Costa, Cristiano Andre ;
Roloff, Eduardo ;
Alexandre Navaux, Philippe Olivier .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 78 :176-190
[10]  
Rodriguez J, 2015, FUNDAMENTALS OF 5G MOBILE NETWORKS, P29