Model of cloud computing services management for consumer product companies

Authors

DOI:

https://doi.org/10.21640/ns.v11i23.1987

Keywords:

information technology service management, computing services, cost reduction, CMMI

Abstract

Introduction: The competence among several consumer product companies which look for cost reduction, had triggered the adoption of cloud on demand computing services. However, recent studies show that adopting computing services do not ensure a cost reduction, and even more, an increase of costs in IT areas is being observed. This investigation has the hypothesis that to attain the cost reduction objectives when computing services are migrated to the cloud, is needed to develop IT Management Capabilities, where these capabilities are not identified with the specific purpose of cost reduction in the current models or frameworks and these capabilities do not exist or are partially implemented in the consumer product companies. Therefore, the objective of this study is “identify those management capabilities of the computing services that support cost reduction and are described in a holistic model designed to this end” and implement it in the consumer product Industry applying a “Use case” study.

Method: The first step was to design a diagnostic tool of IT Service Management Capabilities, where the main inputs came from standards, guidelines and best practices of IT Service Management Framework, identified in the readings. Second step was to confirm the selected capabilities by the application of surveys to subject matter experts of cloud technology. Then, the method Analytic Hierarchy Process (AHP) was applied to validate the relation between “capabilities and cost reduction”. Finally, the Capability Maturity Model Institute (CMMI) model was used to define the maturity level required by each capability.

Results: The main result was the identification of twelve key capabilities of computing service management in the cloud, which need a “Managed” maturity level according to CMMI to attain cost reduction. With this result a Holistic Management Model was developed, including a diagnosis tool for identifying actual and future capabilities level. A cost reduction in operating costs was obtained of 6.2% in 6 months. Also, a cost reduction in personnel was obtained, who were moved to another productive activities.

Discussion or Conclusion: This model can help the consumer products companies to identify its readiness and the capabilities they possess to manage computing services in the cloud. This model allows to provide recommendations for closing the gaps identified, that impacts positively the cost reduction.

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Author Biographies

Gerardo Ramírez, Universidad Autónoma del Estado de Puebla

PhD candidate for Strategic Planing and Technology Direction

Catalina Ovando, Universidad Popular Autónoma del Estado de Puebla - Universidad Politécnica de Madrid

PhD in Strategic Planning and Technology Management, UPAEP University

Juan Alfredo Lino-Gamiño, Universidad de Colima, Centro de Investigaciones en Óptica AC, Universidad Popular Autónoma del Estado de Puebla, Instituto Tecnologico de León

PhD in Strategic Planning and Technology Management CIPIC Postgraduate of Colima, University of Colima, Colima

References

Akram, F., y Singh, H. (2016). Information Technology Service for cloud computing. Internacional Journal of Advanced Electronics and Communication Systems, 5(1), 1-5.

Armbrust, M., Fox, A., Griffith, R. J., Katz, R., Konwinski, A., M, Z. (2009). "A View of Cloud Computing," Communications of the ACM, pp. 50 - 58, 2010.

AWS. (09 de Jul de 2019). AWS Total Cost of Ownership (TCO) Calculator. Obtenido de AWS: https://awstcocalculator.com/#

Aurea A. Grané (2019) Análisis de Componentes Principales. Departamento de Estadística. Universidad de Madrid.

Asrowardi, I. imam@polinela. ac. i., Putra, S. D., Subyantoro, E., & Mohd Daud, N. H. (2018). IT Service Management System Measurement using ISO20000-1 and ISO15504-8: Developing a Solution-Mediated Process Assessment Tool to Enable Transparent and SMS Process Assessment. International Journal of Electrical & Computer Engineering (2088-8708), 8(5, Part 2), 4023–4032. https://ezproxy.upaep.mx:2154/10.11591/ijece.v8i5.pp4023-4032

Bandopadhyay, T., y Govekar, M. (2016). Top 10 IT Service Management Next Practices. Gartner.

Carroll, N., Helfert, M., y Lynn, T. (2014). Towards the Development of a Cloud Service Capability Assessment Framework. In continued Rise of the Cloud: Advances and Trends in Cloud Computing, (págs. 289-336). Springer London: Zaigham Mahmood.

Case, G., y Spalding, G. (2007). ITIL Continual Service Improvement. The Stationery Office (TSO).

Cerny, C.A., & Kaiser, H.F. (1977). A study of a measure of sampling adequacy for factor-analytic correlation matrices. Multivariate Behavioral Research, 12(1), 43-47.

Cisco CloudWatch Report. (20 de 11 de 2013). Cisco CloudWatch Report. Obtenido Oct., 2018 de http://www.cisco.com/cisco/web/UK/assets/cisco_cloudwatch_2012_2606.pdf

Clarke, R. (2010). Computing Clouds on the Horizon? Benefits and Risks from the User´s Perspective. 23rd Blede Conference. Slovenia.

Clerc, V., y Niessink, F. (2004). IT Service CMM® a pocket guide. Van Haren Publishing.

CMMI. (2013). Capability Maturity Model Integration. Obtenido Feb., 2019 de http://www.sei.cmu.edu: http://www.sei.cmu.edu/cmmi/

Cobo, A. acobo@unican. e., Rocha, R. rochar@unican. e., & Vanti, A. A. avanti@unisinos. b. (2014). A Fuzzy Multicriteria Approach for It Governance Evaluation. Revista de Gestão Da Tecnologia e Sistemas de Informação / Journal of Information Systems & Technology Management, 11(2), 257–276. https://ezproxy.upaep.mx:2154/10.4301/S1807-17752014000200003

Cole, Robert; Purao, Sandeep; Rossi, Matti; and Sein, Maung, (2005) "Being Proactive: Where Action Research Meets Design Research". ICIS 2005 Proceedings. 27. http://aisel.aisnet.org/icis2005/27

Day, T., & Pham, N. D. (2017). Data Centers. U.S. Chamber of Commerce Technology Engagement Center.

de Bruin, T., Roseman, M., Freeze, R., y Kulkarni, U. (2005). Understanding the Main Phases of Developing a Maturity Assessment Model. 16th Australasian Conference on Information Systems.

Ergu, D., Kou, G., Peng, Y. pengyicd@gmail. co., Shi, Y., & Shi, Y. (2013). The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment. Journal of Supercomputing, 64(3), 835–848. https://ezproxy.upaep.mx:2154/10.1007/s11227-011-0625-1

Gillett, F. (2008). Future View: The New Tech Ecosystems Of Cloud, Cloud Services, And Cloud Computing for Vendor Strategy Professionals. Forrester Research, Inc.

Göbel, H., Cronholm, S., & Seigerroth, U. (2013). Towards an Agile Method for ITSM Self-Assessment: A Design. Proceedings of the International Conference on Management, Leadership and Governance (pp. 135-142). Bankok: Bangkok University.

Greenberg, A., Hamilton, J., Maltz, D. A., & Patel, P. (2009). The Cost of a Cloud: Research Problems in Data Center Networks. ACM SIGCOMM Computer Communication Review, 68-73.

Hernández Sampieri, R., Fernández Collado, C., & Baptista Lucio, P. (2014). Metodología de la investigación: Roberto Hernández Sampieri, Carlos Fernández Collado y Pilar Baptista Lucio (6a. ed. --.). México D.F.: McGraw-Hill.

Humphrey, W. (2005). Foreword. In M. Bush and D. Dunaway, CMMI® Assessments – Motivating Positive Change. Pearsons Education Inc.

ITIL. (20 de 11 de 2013). Service Lifecycle. Obtenido Ene., 2019 de http://www.itil-officialsite.com/

Koch, F., Assunciao, M. D., y Netto, M. A. (2010). A Cost Analysis of Cloud Computing for Education. Sao Paulo: IBM research. 25 – 29.

Mertens, D. (2005) Research and Evaluation in education and psychology: Integration diversity with quantitative, qualitative and mixed methods. Thousand Oaks. Sage.

Miller, A., Campos-Nanez, E., Fomin, P., & Wasek, J. (2013). An IT Infrastructure Library (ITIL) Maturity Strategy for Private Cloud Sourcing Models: A Literature Review and Literature Review and. Information Systems International Conference (pp. 116-121). ISICO.

Nastase, P., Nastase, F., y Ionescu, C. (2009). Challenges generated by the implementation of the IT standards CobiT 4.1, ITIL v3 and ISO/IEC 27002 in enterprises. Economic Computation and Economic Cybernetics Studies and Research, 3 -10.

National Institute of Standards and Technology. (2 de 11 de 2013). http://csrc.nist.gov. Obtenido de http://csrc.nist.gov: http://csrc.nist.gov/groups/SNS/cloud-computing/cloud-def- dic. 2018 v15.doc

Nelson, L. E. (2018). The Forrester Wave™: Cloud Cost Monitoring and Optimization, Q2 2018. Forrester.

Nieves, M. (2014). Best practice in the cloud: an introduction. Using ITIL® to seize the opportunities of the cloud – and rise to its challenges. Obtenido nov., 2018 de http://www.AXELOS.com: http://www.AXELOS.com/Knowledge-Centre/White-Papers/

Repschlaeger, J., Proehl, T., & Zarnekow, R. (2014). Cloud service management decision support: An application of AHP for provider selection of a cloud-based IT service management system. Intelligent Decision Technologies, 8(2), 95–110. https://ezproxy.upaep.mx:2154/10.3233/IDT-130181

Roig-Ferrio, J. M. joss22@gmail. co., & Oltra-Badenes, R. rauloltra@doe. upv. e. (2015). PROPUESTA DE MODELO DE EVALUACIÓN DE HERRAMIENTAS PARA LA GESTIÓN DEL PROCESO DE GESTIÓN DE PROBLEMAS DE ITIL. (Spanish). 3C TIC, 4(1), 26–42. Retrieved from http://ezproxy.upaep.mx:2057/login.aspx?direct=true&db=aci&AN=102124701&lang=es&site=ehost-live

Ronthal, A. (12 de 02 de 2019). Smarter with Gartner. Obtenido de Smarter with Gartner: https://www.gartner.com/smarterwithgartner/reduce-your-cloud-data-management-costs/

S. Taylor, M. Iqbal, and M. Nieves, “ITIL Version 3 Service Strategy” Available: http://www.mysarir.com/wp-content/uploads/Books/ITIL_V3_SERVICE_DESIGN.pdf. 2007 [obtenido: 10/07/2018]

Techtrends. (2018). Techtrends 2018 - Deloitte Consulting LLP’s. Deloitte Insights, 10.

Winniford, M., Conger, S., y Erickson-Harris, L. (s.f.). Confusion in the Ranks: IT Service Management Practice and Terminology. Information Systems Management.

Kaiser, H. 1974. An index of factor simplicity. Psychometrika 39: 31–36.

Published

2019-11-29

How to Cite

Ramírez, G., Ovando, C., & Lino-Gamiño, J. A. (2019). Model of cloud computing services management for consumer product companies. Nova Scientia, 11(23), 473–522. https://doi.org/10.21640/ns.v11i23.1987

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Human and Social Sciences

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