A Characterization of Cloud Computing Adoption based on evidences of the Literature

by Antonio Carlos Marcelino de Paula / Glauco de Figueiredo Carneiro

 

Abstract
Cloud Computing
Sistematic Literature Review (SLR)
Studies Characterization
Studies included in the review

 

Abstract

Context: Cloud computing has been one of the most promising computing paradigms in industry, been well-known for its proposed advantages when compared to traditional computing models. With cloud resources, organizations have the possibility to fund applied resources on a demand basis. This scenario allows the most effective allocation of investment in IT resources, a fact that has been a market attractive in the current scenario of the global economy. However, to make use and benefit fully from these advantages, organizations need to plan the migration of their applications to the cloud.

Goal: Identify relevant studies published in the literature that address experience reports on migration opportunities and adoption of cloud computing, the cost-benefits relationship of this adoption and selection strategies of service providers that are suitable for the needs of the organization profile.

Method: Perform a systematic review of the literature and then a characterization of case studies also collected from the literature to compare strategies reported by organizations to migrate and adopt cloud computing.

Results: The results of these studies show that a representative sample of the organizations carries out the adoption process of an innovation influenced by technological, organizational and environmental issues. The cost, performance and security/privacy appear as relevant factors by enterprises when deciding for the adoption. Note also a trend in the use of public deployment model and model Infrastructure as a Service (IAAS).

Conclusion: Due to the variety of strategies, approaches and related tools in selected studies, hopefully that the results of this study support the companies in deciding the most appropriate strategy for cloud adoption, in the cost-benefit relationship of this adoption, and the selection of service providers that best meet your expectations. These findings may be a useful reference for developing guidelines for adoption and effective use of cloud computing.

Cloud Computing

Figure 1 - Cloud Computing NIST Model(Mell e Grance, 2011)

Figure 2 - Service Models

Sistematic Literature Review (SLR)

Figure 3 - Stages of the Study Selection Process

Figure 4 - Selected Studies per Research Question (RQ)

Studies Characterization

Figure 5 - Study Characterization Phases

Figure 6 - Findings from the Selected Studies

Figure 7 - Level of Abstraction and Hierarchy of Elements in the Studies

Figure 8 - Deployment Models Identified

Figure 9 - Service Models Identified in the Studies

Figure 10 - Platforms Identified in the Studies

Figure 11 - Characteristics Identified in the Studies

Figure 12 - Types of Study

Figure 13 - Analysis Method

Studies included in the review

ID

Autor, Título

Local de Publicação

Ano

S1

J.-F. Zhao and J.-T. Zhou, Strategies and Methods for Cloud Migration.

IJAC

2014

S2

A. Khajeh-Hosseini, D. Greenwood, J. W. Smith and I. Sommerville, The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise. Top Ten Cited Paper According to Google Scholar

SPE

2012

S3

S. C. Misra and A. Mondal, Identification of a Companys Suitability for the Adoption of Cloud Computing and Modelling Its Corresponding Return on Investment. Top Ten Cited Paper According to Google Scholar

MCM

2011

S4

B. Rimal, A. Jukan, D. Katsaros and Y. Goeleven. Architectural requirements for cloud computing systems: an enterprise cloud approach. Top Ten Cited Paper According to Google Scholar

JGC

2011

S5

M. I. M. Almanea. A Survey and Evaluation of the Existing Tools that Support Adoption of Cloud Computing and Selection of Trustworthy and Transparent Cloud Providers.

INCoS

2014

S6

S. Frey, and W. Hasselbring, An Extensible Architecture for Detecting Violations of a Cloud Environments Constraints during Legacy Software System Migration.

CSMR

2011

S7

F. Fittkau, S. Frey and W. Hasselbring, CDOSim: Simulating cloud deployment options for software migration support.

MESOCA

2012

S8

O. Sefraoui, M. Aissaoui and M. Eleuldj, Cloud computing migration and IT resources rationalization.

ICMCS

2014

S9

J. Alonso, L. Orue-Echevarria, M. Escalante, J. Gorronogoitia and D. Presenza, Cloud modernization assessment framework: Analyzing the impact of a potential migration to Cloud.

MESOCA

2013

S10

B. Wadhwa, A. Jaitly, and B. Suri, Cloud Service Brokers: An Emerging Trend in Cloud Adoption and Migration.

APSEC

2013

S11

L. Zhou, CloudFTP: A Case Study of Migrating Traditional Applications to the Cloud.

ISDEA

2013

S12

V. S. Sharma and S. Anwer, Detecting Performance Antipatterns before Migrating to the Cloud.

CloudCom

2013

S13

S. N. Srirama, V. Ivanistsev, P. Jakovits, and C. Willmore, Direct migration of scientific computing experiments to the cloud.

HPCSim

2013

S14

P. R. M. Andrade, R. G. Araujo, J. C. Filho, T. R. Pereira, A. B. Albuquerque, and N. C. Mendonca, Improving Business by Migrating Applications to the Cloud Using Cloudstep.

WAINA

2015

S15

A. Juan-Verdejo, S. Zschaler, B. Surajbali, H. Baars, and H.-G. Kemper, InCLOUDer: A Formalised Decision Support Modelling Approach to Migrate Applications to Cloud Environments.

SEAA

2014

S16

Q. H. Vu and R. Asal, Legacy Application Migration to the Cloud: Practicability and Methodology.

SERVICES

2012

S17

G. Kousiouris and D. Kyriazis, Legacy applications on the cloud: Challenges and enablers focusing on application performance analysis and providers characteristics.

SERVICES

2012

S18

J. Wu, P. Teregowda, K. Williams, M. Khabsa, D. Jordan, E. Treece, C. L. Giles, Migrating a Digital Library to a Private Cloud.

IC2E

2014

S19

A. Bergmayr, H. Brunelire, J. L. C. Izquierdo, J. Gorroogoitia, G. Kousiouris, D. Kyriazis, M. Wimmer, Migrating legacy software to the cloud with ARTIST.

CSMR

2013

S20

C. Pahl, and H. Xiong, Migration to PaaS clouds - Migration process and architectural concerns.

MESOCA

2013

S21

F. Wang, J. Liu, M. Chen and H. Wang, Migration Towards Cloud-Assisted Live Media Streaming.

TNET

2014

S22

M. Manuja, Moving agile based projects on Cloud.

IAdCC

2014

S23

J. Banerjee, Moving to the cloud: Workload migration techniques and approaches.

HiPC

2012

S24

B. Cai, F. Xu, F. Ye and W. Zhou, Research and application of migrating legacy systems to the private cloud platform with cloudstack.

ICAL

2012

S25

A. Michalas, N. Paladi and C. Gehrmann, Security aspects of e-Health systems migration to the cloud.

HealthCom

2014

S26

V. Andrikopoulos, Z. Song and F. Leymann, Supporting the migration of applications to the cloud through a decision support system.

CLOUD

2013

S27

H.-I. Wang, and C. Hsu, The paradigm framework of cloud migration based on BPR and gBPR.

ICAwST

2013

S28

S. Saadat and H. R. Shahriari, Towards a process-oriented framework for improving trust and security in migration to cloud.

ISCISC

2014

S29

B. P. Peddigari, Unified Cloud Migration Framework Using factory based approach.

INDCON

2014

S30

T. Parveen and S. Tilley, When to Migrate Software Testing to the Cloud?

ICSTW

2010

S31

T. Boillat and C. Legner, Why Do Companies Migrate Towards Cloud Enterprise Systems? A Post-Implementation Perspective.

CBI

2014

S32

M. Sadighi, Accounting System on Cloud: A Case Study.

ITNG

2014

S33

B. C. Tak, B. Urgaonkar and A. Sivasubramaniam, Cloudy with a Chance of Cost Savings.

TPDS

2012

S34

J. Opara-Martins, R. Sahandi and F. Tian, Critical review of vendor lock-in and its impact on adoption of cloud computing.

i-Society

2014

S35

L. Mastroeni and M. Naldi, Long-range Evaluation of Risk in the Migration to Cloud Storage.

CEC

2011

S36

C. -Y. Yam, A. Baldwin, S. Shiu and C. IoannidisMigration to Cloud as Real Option: Investment Decision under Uncertainty.

TrustCom

2011

S37

S. Yi, A. Andrzejak and D. Kondo Monetary Cost-Aware Checkpointing and Migration on Amazon Cloud Spot Instances.

TSC

2011

S38

N. Phaphoom, X. Wang, S. Samuel, S. Helmer and P. AbrahamssonA survey study on major technical barriers affecting the decision to adopt cloud services.

JSS

2015

S39

E. Park and K. J. KimAn Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model.

TELE

2014

S40

J. Garca-Galn, P. Trinidad, O. F. Rana and A. Ruiz-CortsAutomated configuration support for infrastructure migration to the cloud.

FGCS

2015

S41

X. Xu From cloud computing to cloud manufacturing. Top Ten Cited Paper According to Google Scholar

RCIM

2012

S42

M. Stieninger, D. Nedbal, W. Wetzlinger, G. Wagner and M. A. Erskine Impacts on the Organizational Adoption of Cloud Computing: A Reconceptualization of Influencing Factors.

PROTCY

2014

S43

M. J. OSullivan and D. Grigoras Integrating mobile and cloud resources management using the cloud personal assistant.

SIMPAT

2014

S44

P. J. P. da Costa and A. M. R. da Cruz. Migration to Windows Azure Analysis and Comparison.

PROTCY

2012

S45

J. Knsemller and H. Karl A game-theoretic approach to the financial benefits of infrastructure-as-a-service.

FGCS

2014

S46

H. Mouratidis, S. Islam, C. Kalloniatis and S. Gritzalis. A framework to support selection of cloud providers based on security and privacy requirements.

JSS

2013

S47

S. Le, H. Dong, F. K. Hussain, O. K. Hussain, E. Chang, L. Sun, E. Chang.Cloud service selection: State-of-the-art and future research directions.

JNCA

2014

S48

M. Ouedraogo and H. Mouratidis Selecting a Cloud Service Provider in the age of cybercrime.

COSE

2013

S49

C. Tang and J. Liu.Selecting a trusted cloud service provider for your SaaS program.

COSE

2015

S50

F. CRowe, J. Brinkley and N. Tabrizi.Migrating Legacy Applications to the Cloud.

CLOUDCOM

2013

S51

Z. Yang, J. Sun, Y. Zhang and Y. Wang.Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model.

CHB

2014

S52

Z. Li, L. OBrien, R. Cai and H. Zhang. Towards a Taxonomy of Performance Evaluation of Commercial Cloud Services.

CLOUD

2012

S53

Z. Li, L. OBrien, H. Zhang and R. Cai. On a Catalogue of Metrics for Evaluating Commercial Cloud Services.

IWGC

2012

S54

R. Prodan and S. Ostermann. A Survey and Taxonomy of Infrastructure as a Service and Web Hosting Cloud Providers. Top Ten Cited Paper According to Google Scholar

IWGC

2009

S55

A. Li, X. Yang, S. Kandula and M. Zhang. CloudCmp: Comparing Public Cloud Providers. Top Ten Cited Paper According to Google Scholar

IMC

2010

S56

Z. Li, L. OBrien, R. Ranjan and M. Zhang. Early Observations on Performance of Google Compute Engine for Scientific Computing.

CLOUDCOM

2013

S57

S. K. Garg, S. Versteeg and R. Buyya. A framework for ranking of cloud computing services. Top Ten Cited Paper According to Google Scholar

FGCS

2013

S58

J. W. Lian, D. C. Yen, Y. T. Wang. An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital.

IJIM

2014

S59

P. Gupta, A. Seetharaman, and J. R. Raj. The usage and adoption of cloud computing by small and medium businesses. Top Ten Cited Paper According to Google Scholar

IJIM

2013

S60

P. F. Hsu, S. Ray and Y. Y. Li-Hsieh. Examining cloud computing adoption intention, pricing mechanism, and deployment model.

IJIM

2014

S61

T. Oliveira, M. Thomas and M. Espadanal. Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors.

IM

2014

S62

S. Frey, W. Hasselbring and B. Schnoor. Automatic conformance checking for migrating software systems to cloud infrastructures and platforms.

JSEP

2013

S63

M. Stieninger and D. Nedbal. Diffusion and Acceptance of Cloud Computing in SMEs Towards a Valence Model of Relevant Factors.

HICSS

2014

S64

Y. Alshamaila, S. Papagiannidis and F. Li. Cloud computing adoption by SMEs in the north east of England. Top Ten Cited Paper According to Google Scholar

JEIM

2013

S65

A. Benlian, T. Hess and P. Buxmann. Drivers of SaaS-Adoption An Empirical Study of Different Application Types. Top Ten Cited Paper According to Google Scholar

BISE

2009

S66

M. Carcary, E. Doherty and G. Conway. The Adoption of Cloud Computing by Irish SMEs an Exploratory Study.

EJISE

2014