Trade-off-based adoption methodology for cloud-based infrastructures and services

Radhika Garg, Burkhard Stiller

Research output: Chapter in Book/Entry/PoemConference contribution

4 Scopus citations

Abstract

Adoption and consequent management of cloud-based infrastructures and services is driven by business requirements and objectives within an organization. The decision of either to move from a legacy system to a cloud-based system or to move from one cloud solution to another is based on various factors. A potential customer, therefore, should evaluate (a) relevant factors affecting the adoption of a cloud and (b) impacts cloud services will have on multi-faceted objectives of an organization. Existing methods for such an adoption process do not evaluate these two aspects for the decision of cloud adoption. Thus, this paper fills this gap by introducing a new Trade-off-based Adoption methodology for Cloud-based Infrastructures and Services (TrAdeCIS), which is based on the impact cloud-based services will have on the organization. This methodology developed will support organizations in decisions concerning (a) the selection of cloud service provider, (b) the type of cloud service to be adopted, and (c) the suitable type of cloud to be adopted. TrAdeCIS is illustrated based on a survey conducted with 10 organizations, who have adopted or plan to adopt cloud-based solution to fulfil their advanced IT requirements.

Original languageEnglish (US)
Title of host publicationMonitoring and Securing Virtualized Networks and Services - 8th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2014, Proceedings
PublisherSpringer Verlag
Pages1-14
Number of pages14
ISBN (Print)9783662438619
DOIs
StatePublished - 2014
Externally publishedYes
Event8th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2014 - Brno, Czech Republic
Duration: Jun 30 2014Jul 3 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8508 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2014
Country/TerritoryCzech Republic
CityBrno
Period6/30/147/3/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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