Mochament, Konstantinos

2016-06-01T00:00:15Z

https://repository.ihu.edu.gr//xmlui/handle/11544/14516

Investigating cloud adoption decisions

Cloud computing

Cloud computing--Research

free

[ 1 ] Hassan, Qusay F., Alaa M. Riad and Ahmed E. Hassan. "Understanding Cloud Computing." Software Reuse in the Em erging Cloud Computing Era. IGI Global, 2012. 204 - 227. Web. 29 Oct. 2015. doi:10.4018/978 - 1 - 4666 - 0897 - 9.ch009 [ 2 ] Hassan, Qusay (2011). "Demystifying Cloud Computing" (PDF). The Journal of D e- fense Software Engineering (CrossTalk) 2011 (Jan/Feb): 16 – 21. Retrieved 11 Dece m- ber 2014. [ 3 ] http://csrc.nist.gov/publications/nistpubs/800 - 145/SP800 - 145.pdf [ 4 ] http://scisweb.ulster.ac.uk/~kevin/ijcloser - cloud.pdf [ 5 ] Vouk, M.A. (2008 ) “Cloud Computing – Issues, Research and Implementations”, Information Technology Interfaces,2008. ITI 2008. 30th International Conference, Pa g- es 31 – 40 [ 6 ] Armbrust, M. (2009) “Above the Clouds: A Berkeley View of Cloud Computing”, Publisher: UC Berkeley Reliable Adaptive Distributed Systems Laboratory [ 7 ] Mahjoub, M., Mdhaffar, A., Halima, B. R. & Jmaiel, M (2011) “A comparative study of the current Cloud Computing technologies and offers”, Network Cloud Co m- puti ng and Applications (NCCA), 2011 First International Symposium, Publisher: IEEE, Pages: 131 – 134 [ 8 ] http://www.gartner.com/it - glossary/public - cloud - computing [ 9 ] http://www.gartner.com/it - glossary/private - cloud - computing/ [ 10 ] http://www.gartner.com/it - glossary/?s=community+cloud+computing [ 11 ] http://searchcloudcomputing.techtarget.com/definition/hybrid - cloud [ 12 ] http://www.w3.org/TR/soap/ - 52 - [ 13 ] http://www.w3.org/TR/wsdl [ 14 ]http://www.drdobbs.com/web - development/restful - web - services - a - tutorial/240169069 [ 15 ] http://www.w3.org/TR/xml/ [ 16 ] http://json.org/ [ 17 ] https://aws.amazon.com/ [ 18 ] https://azure.microsoft.com/en - us/ [ 19 ] https://cloud.google.com/ [ 20 ] http://www.ibm.com/cloud - computing/ [ 21 ] https://www.petri.com/microsoft - azure - growth - amazon - ibm - google - cloud - services [ 22 ] RIZOU, Stamatia; POLYVIOU, Ariana. Towards value - based resource provisio n- ing in the cloud. In: Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on. IEEE, 2012. p. 155 - 160. [ 23 ] POLYVIOU, Ariana; POULOUDI, Nancy; RIZOU, Stamatia. Which Factors A f- fect Software - as - a - Service Selecti on the Most? A Study from the Customer's and the Vendor's Perspective. In: System Sciences (HICSS), 2014 47th Hawaii International Conference on. IEEE, 2014. p. 5059 - 5068. [ 24 ] POLYVIOU, Ariana; POULOUDI, Nancy. Understanding Cloud Adop tion Dec i- sions in the Public Sector. In: System Sciences (HICSS), 2015 48th Hawaii Internatio n- al Conference on. IEEE, 2015. p. 2085 - 2094. [ 25 ] POLYVIOU, Ariana; POULOUDI, Nancy; PRAMATARI, Katerina. CLOUD ADOPTION: RELATIVE ADVANTAGE OR IT FASHION?. 2014 [ 26 ] HAMADACHE, Kahina, et al. Cost in the Cloud Rationalisation and Research Trails. In: Advanced Cloud and Big Data (CBD), 2014 Second International Conference on. IEEE, 2014. p. 108 - 114. - 53 - [ 27 ] AR MBRUST, Michael, et al. A view of cloud computing. Communications of the ACM, 2010, 53.4: 50 - 58. [ 28 ] http://uxpajournal.org/wp - content/uploads/pdf/JUS_Brooke_February_2013.pdf [ 29 ] http://www.usability.gov/how - to - an d - tools/resources/templates/system - usability - scale - sus.html [ 30 ] http://uxpajournal.org/wp - content/uploads/pdf/JUS_Bangor_May2009.pdf [ 31 ] F. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quaterly, Vol. 13, pages 319 – 339, 1989. [ 32 ] Venkatesh, V.; Davis, F. D. (2000), "A theoretical extension of the technology a c- ceptance model: Four longitudinal field studies", Management Science 46 (2): 18 6 – 204, doi:10.1287/mnsc.46.2.186.11926 [ 33 ] Venkatesh, V., Morris, M., Davis, G. B. and Davis, F.D., User Acceptance of I n- formation Technology: Toward a Unified View. MIS Quarterly. 27(3), 425 – 478, 2003 [ 34 ] http://apprenda.com/library/paas/iaas - paas - saas - explained - compared/

2015-12-15

ABSTRACT ................................ ................................ ................................ ................. III CONTENTS ................................ ................................ ................................ ................... V FIGURES ................................ ................................ ................................ ................... VIII TABLES ................................ ................................ ................................ ......................... X 1 INTRODUCTION ................................ ................................ ................................ ...... 1 1.1 P URPOSE AND SCOPE OF THE DISSERTATION ................................ ................... 1 1.2 D ISSERTATION STRUCTUR E ................................ ................................ ............... 1 2 CLOUD COMPUTING ................................ ................................ ............................. 3 2.1 D EFINITI ON OF CLOUD COMPUTIN G ................................ ................................ ... 3 2.2 C LOUD COMPUTING COMPO NENTS ................................ ................................ .... 5 2.2.1 Client side ................................ ................................ ............................. 6 2.2.2 Datace nter ................................ ................................ ............................ 6 2.2.3 Distributed server ................................ ................................ ................ 6 2.3 U NDERLING T ECHNOLOGIES ................................ ................................ .............. 6 2. 3.1 Virtualization Technology ................................ ................................ ... 6 2.3.2 Web Technology ................................ ................................ ................. 7 2.3.2.1SOAP ................................ ................................ ................................ .... 8 2.3.2.2WSDL ................................ ................................ ................................ .... 9 2.3.2.3REST ................................ ................................ ................................ ... 11 2.3.2.4XML ................................ ................................ ................................ ..... 12 2.3.2.5JSON ................................ ................................ ................................ ... 13 2.4 C LOUD D ELIVERY M ODELS ................................ ................................ .............. 15 2.4.1 Software as a Service (SaaS) ................................ ......................... 16 2.4.2 Platform as a Service (PaaS) ................................ .......................... 17 2.4.3 Infrastructure as a Service (IaaS) ................................ ................... 17 2.5 C LOUD D EPLOYMENT M ODEL ................................ ................................ .......... 18 2.5.1 Public Clouds ................................ ................................ ..................... 18 - vi - 2.5.2 Community Clouds ................................ ................................ ........... 19 2.5.3 Private Clouds ................................ ................................ ................... 20 2.5.4 Hybrid Clouds ................................ ................................ .................... 20 2.6 L ARGE C LOUD SERVICE PROVIDE RS ................................ ............................... 21 3 CLOUD COMPUTING ADOP TION ................................ ................................ .... 25 3. 1 B ACKGROUND AND RELATE D WORK ................................ ................................ 25 4 METHODOLOGICAL APPROACH ................................ ................................ ... 27 4.1 P ARTICIPANTS ’ DATABASE ................................ ................................ ............... 27 4. 2 D EMOGRAPHIC QUESTIONN AIRE ................................ ................................ ..... 28 4.3 P ARTICIPANTS AGREEMEN T ................................ ................................ ............ 29 4.3.1 Informed Consent (Optional) ................................ .......................... 29 4.4 C LOUD T ECHNOLOGY A CCEPTANCE M ODEL QUESTIONNAIRE – TAM .......... 30 4.5 C LOUD S YSTEM U SABILITY S CALE – SUS ................................ ..................... 32 4.6 Q UESTIONNAIRE ................................ ................................ .............................. 33 4.7 E XPERIMENTAL FRAMEWOR K ................................ ................................ .......... 35 4.8 I NDICATORS RECOGNITIO N AND CORRELATION ................................ ............... 36 5 RESULTS AND FINDINGS ................................ ................................ ................. 39 5.1 P RELIMINARY OVERALL V ALIDATION ................................ ................................ 44 6 CONCLUSION AND FUTUR E WORK ................................ .............................. 47 6.1 E NHANCING FACTORS ................................ ................................ ..................... 47 6.1.1 Scalability ................................ ................................ ........................... 48 6.1.2 Expe rienced suppliers ................................ ................................ ...... 48 6.1.3 Internal resources exploitation ................................ ........................ 48 6.2 I NHIBITING FACTORS ................................ ................................ ........................ 48 6.2.1 Security ................................ ................................ .............................. 49 6.2.2 Inflexibility ................................ ................................ .......................... 49 6.2.3 Reliable internet Service ................................ ................................ .. 50 6.2.4 Ownership of data decommissioning ................................ ............ 50 6.3 F UTURE WORK ................................ ................................ ................................ . 50 REFERENCES ................................ ................................ ................................ ............. 51 7 ANNEX I ................................ ................................ ................................ .................. 55 - vii - 7.1 D EMOGRAPHICAL INFORMA TION ................................ ................................ ...... 55 7.2 C ONSENT F ORM ................................ ................................ ............................... 56 7.3 TAM CLOUD TEMPLATE ................................ ................................ ................... 56 TECHNOLOGY ACCEPTANC E MODEL QUESTIONNAIR E ............................. 57 7.4 SUS CLOUD TEMPLATE ................................ ................................ .................... 59 S YSTEM U SABILITY S CALE ................................ ................................ ....................... 60 7.5 I NTERVIEW AGENDA T EMPLATE ................................ ................................ ....... 61 8 ANNEX II: PARTICIPAN TS SEMI - STRUCTURED INTERVIEW DATA ..... 71

Pramatari

IHU

81