Skip to main content
Log in

Cloud Industrialisierung – ein Cloud Operations Ansatz für Organisationen

Cloud Industrialization—Developing a Cloud Operations Framework for Organizations

  • Einführung
  • Published:
HMD Praxis der Wirtschaftsinformatik Aims and scope Submit manuscript

Zusammenfassung

Der Aufbau eines möglichst effizienten und effektiven Cloud Operations Ansatzes ist ein aktuelles Thema in Organisationen, die sich auf dem Weg in die Cloud befinden. Gleichzeitig existieren bis heute nur wenige wissenschaftliche Studien, welche den optimalen Aufbau von Cloud Operations in Organisationen untersuchen. Diese Studie versucht diese Forschungslücke zu schließen, indem auf Basis einer qualitativen Fallstudie der Aufbau von Cloud Operations Ansätzen in einer weltweit tätigen Organisation untersucht. Im Rahmen der Fallstudie werden erste Ansätze in Bezug auf Cloud Operations Organisation, Prozesse und technologische Lösungen identifiziert, analysiert und gleichzeitig in einen Zusammenhang gebracht. Auf Basis dieser Ergebnisse zeigt die Studie zukünftige Forschungsschwerpunkte im Bereich Cloud Operations auf und bietet erste Anhaltspunkte für die Praxis.

Abstract

The development of an efficient and effective approach to Cloud Operations is a recent discussion topic in organizations, which are about to move their business services into the cloud. At the same time, there are only few scientific articles that investigate the ideal structure of Cloud Operations in organizations until now. This study is based on a qualitative case study evaluating Cloud Operations in an international organization in order to close this research gap. The case study identifies and categorizes several Cloud Operations solutions related to organizational, processual and technological measures. Based on the results the study is providing future research areas around Cloud Operations and offers an initial set of solutions for practice.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Abb. 1
Abb. 2

Notes

  1. Vergleiche hierzu die Ergebnisse der Literaturrecherche in Abschn. 3.

  2. https://aisnet.org/page/SeniorScholarBasket.

  3. Im Rahmen der Fallstudie wurde sowohl die globale IT als auch verschiedene lokale Lösungen (innerhalb der lokalen IT Einheiten) untersucht. Es erfolgte allerdings keine Evaluation der Maßnahmen aller 20+ lokalen IT-Einheiten.

  4. Preis (P) * Volumen (Q; bspw. Anzahl virtueller Server).

Abbreviations

COPS:

Cloud Operations

CCoE:

Cloud Center of Expertise

CI/CD:

Continuous Integration/Continuous Delivery

SaaS:

Software as a Service

PaaS:

Platform as a Service

IaaS:

Infrastructure as a Service

Literatur

  • Apitz M, Karlstetter F (2018) Cloud Computing ermöglicht die Industrie 4.0. Industry-of-Things.de, 1. https://www.industry-of-things.de/industrie40-a-556757/

  • Armbrust M et al (2009) Above the clouds: a Berkeley view of cloud computing. University of California at Berkeley (2016)

  • Balalaie A, Heydarnoori A, Jamshidi P (2014) Microservices architecture enables devops. Sharif University of Technology, London

    Google Scholar 

  • Efimov VV, Mescheryakov SV, Shchemelinin DA (2017) Integration data model for continuous service delivery in cloud computing system. In: International conference on distributed computer and communication networks. Springer, Berlin, S 87–97

    Chapter  Google Scholar 

  • Eisenhardt KM (1989) Building theories from case study research. Acad Manag Rev 14(4):532–550

    Article  Google Scholar 

  • Farshchi M, Schneider J‑G, Weber I, Grundy J (2018) Metric selection and anomaly detection for cloud operations using log and metric correlation analysis. J Syst Softw 137:531–549

    Article  Google Scholar 

  • Fettermann DC, Gobbo Sá Cavalcante C, Domingues de Almeida T, Luz Tortorella G (2018) How does industry 4.0 contribute to operations management? J Ind Prod Eng 35(4):255–268

    Google Scholar 

  • Garrison G, Wakefield RL, Kim S (2015) The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations. Int J Inf Manage 35(4):377–393

    Article  Google Scholar 

  • Hussain W, Hussain FK, Hussain OK, Damiani E, Chang E (2017) Formulating and managing viable SLas in cloud computing from a small to medium service provider’s viewpoint: a state-of-the-Art review. Inf Syst 71:240–259

    Article  Google Scholar 

  • Khoshkbarforoushha A, Wang M, Ranjan R, Wang L, Alem L, Khan SU, Benatallah B (2016) Dimensions for evaluating cloud resource orchestration frameworks. Computer 49(2):24–33

    Article  Google Scholar 

  • Levy Yair, Ellis Timothy J (2006) A systems approach to conduct an effective literature review in support of information systems research. Inform Sci 9

  • Pahl C, Jamshidi P, Zimmermann O (2018) Architectural principles for cloud software. ACM Trans Internet Technol 18(2):1–23

    Article  Google Scholar 

  • Richards LL (2018) Records management in the cloud: from system design to resource ownership. J Assn Inf Sci Tec 69(2):281–289

    Article  Google Scholar 

  • Rios E, Iturbe E, Larrucea X, Rak M, Mallouli W, Dominiak J, Muntés V, Matthews P, Gonzalez L (2019) Service level agreement-based GDPR compliance and security assurance in (multi) cloud-based systems. IET Softw 13(3):213–222

    Article  Google Scholar 

  • Senyo PK, Addae E, Boateng R (2018) Cloud computing research: a review of research themes, frameworks, methods and future research directions. Int J Inf Manage 38(1):128–139

    Article  Google Scholar 

  • Webster J, Watson RT (2002) Analyzing the past to prepare for the future: Writing a literature review. MIS quarterly, xiii–xxiii

  • Xia C, Zhang Y, Wang L, Coleman S, Liu Y (2018) Microservice-based cloud robotics system for intelligent space. Rob Auton Syst 110:139–150

    Article  Google Scholar 

  • Yin KR (2014) Case Study Research-Design and Methods. 2010. Ed.

  • Zhu L, Xu D, Tran AB, Xu X, Bass L, Weber I, Dwarakanathan S (2015) Achieving reliable high-frequency releases in cloud environments. IEEE Softw 32(2):73–80

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nikolaus Schmidt.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schmidt, N. Cloud Industrialisierung – ein Cloud Operations Ansatz für Organisationen. HMD 57, 886–896 (2020). https://doi.org/10.1365/s40702-020-00683-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1365/s40702-020-00683-y

Schlüsselwörter

Keywords

Navigation