Virtualization, Containerization, Composition, and Orchestration of Cloud Computing Services

被引:5
作者
Odun-Ayo, Isaac [1 ]
Geteloma, Victor [1 ]
Eweoya, Ibukun [1 ]
Ahuja, Ravin [2 ]
机构
[1] Covenant Univ, Dept Comp & Informat Sci, Ota, Nigeria
[2] Delhi Cllo Engn, Delhi, India
来源
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2019, PT IV | 2019年 / 11622卷
关键词
Cloud computing; Virtualization; Containerization; Composition; Orchestration; Systematic mapping; MANAGEMENT;
D O I
10.1007/978-3-030-24305-0_30
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud Computing is a dynamic concept which applies virtualization cum allied techniques to facilitate the provision of services to users. To support provision of resources to users by the service and deployment models, core technologies such as virtualization, containerization and orchestration are used on the cloud. However, the task of having to determine a research focus is challenging and rigorous. A systematic map enables a synthesis of a scheme for categorizing data in a domain that interests researchers. This work conducts a systematic mapping study of virtualization, containerization and orchestration of cloud computing services. The results indicated that articles on virtualization in the area of valuation research and experience papers were 8.56% and 3.28% respectively. In addition, many articles discussed deployment based on validation and solution research with 4.92% and 13.93% respectively. There were more papers published that discussed orchestration in terms of philosophical papers with 2.45%. The lowest publications on models were on the topic of orchestration which was 1.9%. Also, the lowest number of papers on evaluation research was on deployment which was 3.28%. Furthermore, the lowest numbers of articles on validation research were on composition enabler which was 0.82%, while that of solution proposal were on orchestration with 0.82%. The result of this research reveals the gaps that will be beneficial to the trio of researchers, industries, and providers.
引用
收藏
页码:403 / 417
页数:15
相关论文
共 29 条
[1]   A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods [J].
Ahmad, Amro Al-Said ;
Brereton, Pearl ;
Andras, Peter .
2017 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C), 2017, :555-562
[2]  
Barros-Justo J.L., 2017, ARXIV170105747V1CSSE
[3]  
Brakensiek J., 2008, Proceedings of the 1st workshop on Isolation and integration in embedded systems, IIES '08, P17, DOI 10.1145/1435458
[4]  
Buyya J., 2011, CLOUD COMPUTING PRIN, P4
[5]  
dos Santos V, 2017, INFORM EDUC, V16, P257, DOI 10.15388/infedu.2017.13
[6]   Open Issues in Scheduling Microservices in the Cloud [J].
Fazio, Maria ;
Celesti, Antonio ;
Ranjan, Rajiv ;
Liu, Chang ;
Chen, Lydia ;
Villari, Massimo .
IEEE CLOUD COMPUTING, 2016, 3 (05) :81-88
[7]  
Fernandez-Blanco C.R., 2017, 28875 EUR EN, DOI [10.2760/422399,JRC10912, DOI 10.2760/422399,JRC10912]
[8]  
Griffo C., 2015, BRAZ C ONT ONTOBRAS, P1442
[9]   Network Virtualization and Software Defined Networking for Cloud Computing: A Survey [J].
Jain, Raj ;
Paul, Subharthi .
IEEE COMMUNICATIONS MAGAZINE, 2013, 51 (11) :24-31
[10]  
Josyula V., 2011, Cloud Computing: Automating the Virtualized Data Center Cloud Computing: Automating the Virtualized Data Center Warning and Disclaimer ii Cloud Computing: Automating the Virtualized Data Center