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A Multi-Criteria Decision Support Model for Cloud Computing Virtual Server Product Selection

Year 2023, Volume: 38 Issue: 4, 939 - 953, 28.12.2023
https://doi.org/10.21605/cukurovaumfd.1410269

Abstract

Cloud computing has become a preferred option due to the ease of management of the services it offers. Virtual servers offered in Cloud Computing can be configured according to the needs of the customers. The selection of the targeted product among the virtual servers turns into a multi-criteria decision making problem due to the large number of options and the large number of criteria that need to be evaluated together. In this study, a model is proposed in which the criteria weights are determined by Entropy method and the options are ranked by VIKOR method. The effectiveness of the model is compared with the case where the criteria weights are calculated by Analytic Hierarchy Process with expert opinion. In the developed test environment, different customer demand scenarios randomly generated within Amazon EC2 product configuration boundaries were applied. The results of the methods where the proposed method and criteria were calculated with AHS and ranked with VIKOR by taking expert opinion were compared and it was observed that the same product was recommended 81.21% of the time. It is suggested that the model can be considered as an alternative option for decision makers at the management level who do not have sufficient technical knowledge within the scope of the cloud computing migration problem.

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Bulut Bilişim Sanal Sunucu Ürün Seçiminde Çok Kriterli Bir Karar Destek Modeli

Year 2023, Volume: 38 Issue: 4, 939 - 953, 28.12.2023
https://doi.org/10.21605/cukurovaumfd.1410269

Abstract

Bulut bilişim sunduğu servislerin yönetim kolaylığı ile sıkılıkla tercih edilen bir seçenek haline gelmiştir. Bulut Bilişim’de sunulan sanal sunucular müşterilerin ihtiyacına göre belirlenebilmektedir. Sanal sunucu seçenekleri arasından hedeflenen ürünün seçimi, seçenek sayısının fazlalığı ve bir arada değerlendirilmesi gereken kriterlerin çokluğu sebebi ile çok kriterli karar verme problemine dönüşmektedir. Bu çalışmada karar vericilerin sanal sunucu seçiminde kriter ağırlıklarının Entropi yöntemi ile belirlendiği ve seçeneklerin VIKOR yöntemi ile sıralandığı bir model önerilmiştir. Modelin etkinliği kriter ağırlıklarının uzman görüşü alınarak Analitik Hiyerarşi Süreci ile hesaplandığı durum ile karşılaştırılmıştır. Geliştirilen test ortamında Amazon EC2 ürün konfigürasyon sınırları arasında rastgele oluşturulan farklı müşteri talebi senaryoları uygulanmıştır. Önerilen yöntem ve kriterlerin uzman görüşü alınarak AHS ile hesaplandığı ve VIKOR ile sıralandığı yöntemlerin sonuçları karşılaştırılmış ve %81.21 oranında aynı ürünün önerildiği gözlemlenmiştir. Bulut bilişime göç problemi kapsamında modelin yeterli teknik bilgiye sahip olmayan yönetim kademesindeki karar vericiler için alternatif bir seçenek olarak değerlendirilebileceği önerilmektedir.

References

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  • 4. Cardoso, A., Moreira, F., Escudero, D.F., 2018. Information Technology Infrastructure Library and the Migration to Cloud Computing. Universal Access in the Information Society, 17(3), 503-515.
  • 5. Ahmad, N., Naveed, Q.N., Hoda, N., 2018. Strategy and Procedures for Migration to the Cloud Computing. 5th International Conference on Engineering Technologies and Applied Sciences (ICETAS), Skopje, 1-5.
  • 6. Adel, A., Reza, S., David, J., 2013. Migration to Cloud Computing-The Impact on IT Management and Security. 1th International Workshop on Cloud Computing and Information Security, 9-11 November 2013, Shangai.
  • 7. Sefraoui, O., Aissaoui, M., Eleuldj, M., 2014. Cloud Computing Migration and IT Resources Rationalization. International Conference on Multimedia Computing and Systems (ICMCS), Marrakesh, 1164-1168.
  • 8. Moghaddam, F.F., Rohani, M.B., Ahmadi, M., Khodadadi, T., Madadipouya, K., 2015. Cloud Computing: Vision, Architecture and Characteristics. 6th Control and System Graduate Research Colloquium (ICSGRC), Shah Alam, 1-6.
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  • 11. Lei, Qing, Yingtao J., Mei Y., 2014. Evaluating Open Iaas Cloud Platforms Based Upon Nist Cloud Computing Reference Model. 17th International Conference on Computational Science and Engineering, Chengdu, 1909-1914.
  • 12. Samreen, F., Elkhatib, Y., Rowe, M., Blair, G. S., 2016. Daleel: Simplifying Cloud Instance Selection Using Machine Learning. IEEE/IFIP Network Operations and Management Symposium (NOMS’2016), 25-19 April 2016, İstanbul.
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  • 14. Shannon, C.E., 1948. A Mathematical Theory of Communication. The Bell System Technical Journal, 27(3), 379-423.
  • 15. Opricovic, S., Tzeng, G.H., 2004. Compromise Solution by MCDM Methods: A Comparative Analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.
  • 16. Saaty, T.L., 1991. Some Mathematical Concepts of the Analytic Hierarchy Process. Behaviormetrika, 18(29), 1-9.
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  • 21. Uddin, Mueen, Asadullah S., Adamu A., Imran A., 2014. Implementation of Server Virtualization to Build Energy Efficient Data Centers. Journal of Power Technologies, 94(2), 1-10.
  • 22. Desai, A., Oza, R., Sharma, P., Patel, B., 2013. Hypervisor: A Survey on Concepts and Taxonomy. International Journal of Innovative Technology and Exploring Engineering, 2(3), 222-225.
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  • 25. Winarno, I., Ishida, Y., 2015. Simulating Resilient Server Using XEN Virtualization. Procedia Computer Science, 60, 1745-1752.
  • 26. Jin, Y., Wen, Y., Chen, Q., 2012. Energy Efficiency and Server Virtualization in Data Centers: An Empirical Investigation. IEEE INFOCOM Workshops, 25-30, Orlando.
  • 27. Rashid, A., Chaturvedi, A., 2019. Virtualization and its Role in Cloud Computing Environment. International Journal of Computer Sciences and Engineering, 7(4), 1131-1136.
  • 28. Anand, A., Chaudhary, A., Arvindhan, M., 2021. The Need for Virtualization: When and Why Virtualization Took Over Physical Servers. 2019 Advances in Communication and Computational Technology (ICACCT), Singapore, 1351-1359.
  • 29. Prodan, R., Ostermann, S., 2009. A Survey and Taxonomy of Infrastructure As a Service and Web Hosting Cloud Providers. 10th IEEE/ACM International Conference on Grid Computing, Banf, 17-25.
  • 30. Longo, F., Ghosh, R., Naik, V. K., Trivedi, K. S., 2011. A Scalable Availability Model for Infrastructure-as-a-Service Cloud. 41st IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Hong Kong, 335-346.
  • 31. Whaiduzzaman, M., Gani, A., Anuar, N.B., Shiraz, M., Haque, M.N., Haque, I.T., 2014. Cloud Service Selection Using Multi Criteria Decision Analysis. The Scientific World Journal, 1-10.
  • 32. Sun, L., Dong, H., Hussain, F.K., Hussain, O.K., Chang, E., 2014. Cloud Service Selection: State-of-the-Art and Future Research Directions. Journal of Network and Computer Applications, 45, 134-150.
  • 33. Han, S.M., Hassan, M.M., Yoon, C.W., Huh, E.N., 2009. Efficient Service Recommendation System for Cloud Computing Market. 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, Seoul, 839-845.
  • 34. Ur Rehman, Z., Hussain, O.K., Hussain, F.K., 2013. Multi-criteria IaaS Service Selection Based on QoS History. 27th IEEE International Conference on Advanced Information Networking and Applications (AINA), Barcelona, 1129-1135.
  • 35. Ur Rehman, Z., Hussain, O.K., Hussain, F.K., 2012. Iaas Cloud Selection Using MCDM Methods. 9th IEEE International Conference on e-Business Engineering, Hangzhou, 246-251.
  • 36. Fattah, S.M.M., Bouguettaya, A., Mistry, S., 2020. Signature-Based Selection of IaaS Cloud Services. IEEE International Conference on Web Services (ICWS), Beijing, 50-57.
  • 37. Ghule, D., Gopal, A., 2018. Comparison Parameters and Evaluation Technique to Help Selection of Right IaaS Cloud. 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gorakhpur, 1-6.
  • 38. Chauhan, N., Agarwal, R., Garg, K., Choudhury, T. 2020. Redundant IAAS Cloud Selection with Consideration of Multi Criteria Decision Analysis. Procedia Computer Science, 167, 1325-1333.
  • 39. Saha, M., Panda, S.K., Panigrahi, S., 2021. A Hybrid Multi-Criteria Decision Making Algorithm for Cloud Service Selection. International Journal of Information Technology, 13, 1417-1422.
  • 40. Do Chung, B., Seo, K. K., 2015. A Cloud Service Selection Model Based on Analytic Network Process. Indian Journal of Science and Technology, 8(18), 1-5.
  • 41. Lee, Y.H., 2014. A Decision Framework for Cloud Service Selection for SMEs: AHS Analysis. SOP Transactions on Marketing Research, 1(1), 51-57.
  • 42. Grgurević, I., Kordić, G., 2017. Multi-criteria Decision-Making in Cloud Service Selection and Adoption. 5th Int. Virtual Res. Conf. Tech. Disciplines, Zagreb, 8-12.
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  • 45. Ahmadi, J., Toroghi Haghighat, A., Rahmani, A. M., Ravanmehr, R., 2022. A Flexible Approach for Virtual Machine Selection in Cloud Data Centers with AHS. Software: Practice and Experience, 52(5), 1216-1241.
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There are 79 citations in total.

Details

Primary Language Turkish
Subjects Multiple Criteria Decision Making, Industrial Engineering
Journal Section Articles
Authors

Onur Koşar 0000-0003-4716-374X

Mehmet Atak 0000-0002-4373-5192

Publication Date December 28, 2023
Published in Issue Year 2023 Volume: 38 Issue: 4

Cite

APA Koşar, O., & Atak, M. (2023). Bulut Bilişim Sanal Sunucu Ürün Seçiminde Çok Kriterli Bir Karar Destek Modeli. Çukurova Üniversitesi Mühendislik Fakültesi Dergisi, 38(4), 939-953. https://doi.org/10.21605/cukurovaumfd.1410269