The Evaluating of Cloud Storage Service Providers Using Integrated SWARA - COPRAS Method

Year 2017, , 417 - 434, 30.10.2017

Engin Çakır , Büşra Kutlu Karabıyık

https://doi.org/10.17671/gazibtd.296094

Cited By: 23

Abstract

Along
with the rapid development of technology; DVD, USB and even external drives
have begun to receive cloud storage services. In cloud storage; data is stored
in virtual pools which are created by the servers on the network. In cloud
storage, users have their own storage space on the internet and can store their
files in this area. The purpose of this study is to choose the best cloud
storage service provider among various types of them that operate large data
centers and provide space for storage. There are various criteria in the
literature about selection. As the criteria do not have equal qualifications,
the importance levels of the criteria are determined by the SWARA method. In
the light of criteria created, the best cloud storage service provider has been
chosen with the COPRAS method. While "Safety" criterion has been
attended to the highest priority, "Customer Support Services" has the
lowest priority. Google Drive is found as the best performing cloud service
provider. Yandex.Disk, iCloud Drive, Dropbox, Box and OneDrive follow Google
Drive cloud service provider respectively. 

Keywords

Cloud Storage, Cloud Storage Service Providers, SWARA Method, COPRAS Method

Bütünleşik SWARA - COPRAS Yöntemi Kullanarak Bulut Depolama Hizmet Sağlayıcılarının Değerlendirilmesi

Abstract

Teknolojinin
hızlı gelişimi ile birlikte DVD, USB ve hatta harici disklerin yerini bulut
depolama servisleri almaya başlamıştır. Bulut depolama; sunucular tarafından ağ
üzerinde sanal biçimde oluşturulan havuzlarda veri depolanmasıdır. Bulut
depolamada kullanıcılar internet üzerinde kendilerine ait bir depolama alanına
sahip olmakta ve dosyalarını bu alanda saklayabilmektedirler. Bu çalışmanın amacı;
büyük çaplı veri merkezlerini işleten ve depolama için alan sunan çeşitli bulut
depolama hizmet sağlayıcıları arasından en iyisinin seçilmesidir. Seçim
konusunda literatürde karşılaşılan çeşitli kriterler söz konusudur. Kriterler
eşit öneme sahip olmadığından, kriterlerin önem düzeyleri SWARA yöntemi ile
belirlenmiştir. Oluşturulan kriterler ışığında COPRAS yöntemi ile en iyi bulut
depolama hizmet sağlayıcısının seçimi yapılmıştır. En yüksek önem derecesine
sahip kriterin “Güvenlik” kriteri olduğu ve en düşük öneme sahip kriterin ise
“Müşteri Hizmetleri” olduğu sonucuna ulaşılmıştır. En iyi bulut depolama hizmet
sağlayıcısının Google Drive olduğu bilgisine ulaşılırken; diğer bulut depolama
hizmet sağlayıcılarından Yandex.Disk ikinci, iCloud Drive üçüncü, Dropbox
dördüncü, Box beşinci ve OneDrive altıncı sırada yer almaktadır.

Keywords

Bulut Depolama, Bulut Depolama Hizmet Sağlayıcıları, SWARA Yöntemi, COPRAS Yöntemi

References

• Adjei, J. K. (2014). Explaining the role of trust in cloud service acquisition. Explaining the role of trust in cloud computing services, 17(1), 54–67. doi:10.1109/MobileCloud.2014.48
• Aghdaie, M. H., Zolfani, S. H. & Zavadskas, E. K. (2013). Decision Making in Machine Tool Selection : An Integrated Approach with SWARA and COPRAS-G Methods. Engineering Economics, 24(1), 5–17.
• Aghdaie, M. H., Zolfani, S. H. & Zavadskas, E. K. (2014a). Synergies of Data Mining and Multiple Attribute Decision Making. Procedia - Social and Behavioral Sciences, 110(2014), 767–776.
• Aghdaie, M. H., Zolfani, S. H. & Zavadskas, E. K. (2014b). Sales Branches Performance Evaluation: A Multiple Attribute Decision Making Approach. 8th International Scientific Conference “Business and Management 2014” içinde (ss. 1–7). Lithuania: Vilnius Gediminas Technical University.
• Aksoy, E., Ömürbek, N. & Karaatli, M. (2015). AHP Temelli MULTIMOORA ve COPRAS Yöntemi ile Türkiye Kömür İşletmelerinin Performans Değerlendirmesi. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 33(4), 1–28.
• Ali, O., Soar, J., Yong, J. & Tao, X. (2016). Factors to be considered in cloud computing adoption. Web Intelligence, 14(4), 309–323. doi:10.3233/WEB-160347
• Alijani, G. S., Fulk, H. K., Omar, A. & Tulsi, R. (2014). Cloud Computing Effects on Small Business. Entrepreneurial Executive, 19, 35–45.
• Alimardani, M., Zolfani, S. H., Aghdaie, M. H. & Tamošaitienė, J. (2013). A Novel Hybrid SWARA and VIKOR Methodology for Supplier Selection in an Agile Environment. Technological and Economic Development of Economy, 19(3), 533–548.
• Burda, D. & Teuteberg, F. (2014). The role of trust and risk perceptions in cloud archiving - Results from an empirical study. Journal of High Technology Management Research, 25(2), 172–187. doi:10.1016/j.hitech.2014.07.008
• Burda, D. & Teuteberg, F. (2016). Exploring consumer preferences in cloud archiving – a student’s perspective. Behaviour & Information Technology, 35(2), 89–105. doi:10.1080/0144929X.2015.1012650
• Choi, C.-R. & Jeong, H.-Y. (2014). Quality evaluation and best service choice for cloud computing based on user preference and weights of attributes using the analytic network process. Electronic Commerce Research, 14(3), 245–270. doi:10.1007/s10660-014-9156-1
• Cui, Y., Lai, Z. & Dai, N. (2016). A First Look at Mobile Cloud Storage Services : Architecture , Experimentation and Challenge. IEEE Network, 30(4), 16–21. doi:10.1109/MNET.2016.7513859
• Çakır, E. (2016). Electronic Document Management System (EDMS) Software Selection with Fuzzy COPRAS Method: A Municipal Case. W. Sayers ve M. Avcı (Ed.), Law and Order in Turkish Society içinde (ss. 92–100). Berlin: AGP Research.
• Çakır, E. & Özdemir, M. (2015). Altı Sigma Projelerinin Bulanık COPRAS Yöntemiyle Değerlendirilmesi: Bir Üretim İşletmesi Örneği. XVIth International Symposium On Econometrics, Operations Research and Statistics içinde (ss. 494–495). Edirne.
• Çakır, E. & Özdemir, M. (2016). Bulanık Çok Kriterli Karar Verme Yöntemlerinin Altı Sigma Projeleri Seçiminde Uygulanması. Business and Economics Research Journal, 7(2), 167–201. doi:10.20409/berj.2016217536
• Das, M. C., Sarkar, B. & Ray, S. (2012). A Framework to Measure Relative Performance of Indian Technical Institutions Using Integrated Fuzzy AHP and COPRAS Methodology. Socio-Economic Planning Sciences, 46(3), 230–241. doi:10.1016/j.seps.2011.12.001
• Dehnavi, A., Aghdam, I. N., Pradhan, B. & Morshed Varzandeh, M. H. (2015). A New Hybrid Model Using Step-Wise Weight Assessment Ratio Analysis (SWARA) Technique and Adaptive Neuro-Fuzzy Inference System (ANFIS) for Tegional Landslide Hazard Assessment in Iran. Catena, 135(2015), 122–148.
• El-Gazzar, R., Hustad, E. & Olsen, D. H. (2016). Understanding cloud computing adoption issues: A Delphi study approach. Journal of Systems and Software, 118, 64–84. doi:10.1016/j.jss.2016.04.061
• Erdem, İ. (2013). Yöneylem Araştırması ve WinQSB Uygulamaları. Ankara: Seçkin Yayıncılık.
• Ferguson-Boucher, K. (2011). Cloud Computing: A Records and Information Management Perspective. IEEE Security & Privacy Magazine, 9(6), 63–66. doi:10.1109/MSP.2011.159
• Garrison, G., Sanghyun, K. & Wakefield, R. L. (2012). Success Factors for Deploying Cloud Computing. COMMUNICATIONS OF THE ACM, 55(9), 62–68. doi:10.1021/ac60289a702
• Gavcar, E., Coşkun, E., Paksoy, T., Eleren, A., Sulak, H., Özdemir, M., … Keskin, R. (2011). Yöneylem Araştırması. (V. Tecim, Ed.). İstanbul: Lisans Yayıncılık.
• Gupta, P., Seetharaman, A. & Rudolph, J. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861–874. doi:10.1016/j.ijinfomgt.2013.07.001
• Gutierrez, A., Boukrami, E. & Lumsden, R. (2015). Technological, Organisational and Environmental factors influencing managers’ decision to adopt cloud computing in the UK. Journal of Enterprise Information Management, 28(6), 1–19. doi:10.1108/JEIM-04-2014-0046
• Hillier, F. S. & Lieberman, G. J. (2001). Introduction to Operational Research. New York: McGraw-Hill.
• Ion, I., Sachdeva, N., Kumaraguru, P. & Čapkun, S. (2011). Home is safer than the cloud! Privacy Concerns for Consumer Cloud Storage. Soups ’11, 1. doi:10.1145/2078827.2078845
• Kaklauskas, A., Zavadskas, E. K., Raslanas, S., Ginevicius, R., Komka, A. & Malinauskas, P. (2006). Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38(5), 454–462. doi:10.1016/j.enbuild.2005.08.005
• Karabasevic, D., Paunkovic, J. & Stanujkic, D. (2016). Ranking of companies according to the indicators of corporate social responsibility based on SWARA and ARAS methods. Serbian Journal of Management, 11(1), 43–53. doi:10.5937/sjm11-7877
• Karabasevic, D., Stanujkic, D., Urosevic, S. & Maksimovic, M. (2015). Selection of Candidates in the Mining Industry Based on the Application of the SWARA and the MULTIMOORA Methods. Acta Montanistica Slovaca, 20(2), 116–124.
• Karabasevic, D., Stanujkic, D., Urosevic, S. & Maksimovic, M. (2016). An approach to personnel selection based on Swara and Waspas methods. Journal of Economics, Management and Informatics, 7(1), 1–11. doi:10.5937/bizinfo1601001K
• Keršulienė, V. & Turskis, Z. (2011). Integrated Fuzzy Multiple Criteria Decision Making Model for Architect Selection. Technological and Economic Development of Economy, 17(4), 645–666.
• Keršuliene, V., Zavadskas, E. K. & Turskis, Z. (2010). Selection of Rational Dispute Resolution Method by Applying New Step-Wise Weight Assessment Ratio Analysis (Swara). Journal of Business Economics and Management, 11(2), 243–258.
• Le, S., Dong, H., Hussain, F. K., Hussain, O. K., Ma, J. & Zhang, Y. (2014). Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection. IEEE International Conference on Fuzzy Systems içinde (ss. 1929–1936). doi:10.1109/FUZZ-IEEE.2014.6891892