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

Yıl 2023, , 939 - 953, 28.12.2023

Onur Koşar , Mehmet Atak

https://doi.org/10.21605/cukurovaumfd.1410269

Öz

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.

Anahtar Kelimeler

Cloud computing, Decision theory, Multi criteria decision making

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

Öz

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.

Anahtar Kelimeler

Bulut bilişim, Karar teorisi, Çok kriterli karar verme

Kaynakça

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