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

Onur Koşar; Mehmet Atak

Article Details

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

Authors:

Onur Koşar | Mehmet Atak

Publisher:

Cukurova University

Main Topics:

Çok Ölçütlü Karar Verme | Endüstri Mühendisliği

Journal:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 4, pp.939-953

Document Type:

Article

Publication Date:

12/2023

Document Language:

Turkish

Document ID (Org No.):

2001307427

pISSN:

2757-9255

Keywords:

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.

 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.

 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.

 Bulut bilişim sunduğu servislerin yönetim kolaylığı ile sıkılıkla tercih edilen bir seçenek haline gelmiştir. Bulut Bilişimde 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.

Article Details

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

Authors:

Onur Koşar | Mehmet Atak

Publisher:

Cukurova University

Main Topics:

Çok Ölçütlü Karar Verme | Endüstri Mühendisliği

Journal:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 4, pp.939-953

Document Type:

Article

Publication Date:

12/2023

Document Language:

Turkish

Document ID (Org No.):

2001307427

pISSN:

2757-9255

Cloud computing

Decision theory

Multi criteria decision makingBulut bilişim

Karar teorisi

Çok kriterli karar verme

Issues

Article Details

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

Authors: Onur Koşar | Mehmet Atak

Publisher: Cukurova University

Main Topics: Çok Ölçütlü Karar Verme | Endüstri Mühendisliği

Journal: Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 4, pp.939-953

Document Type: Article

Publication Date: 12/2023

Document Language: Turkish

Document ID (Org No.): 2001307427

pISSN: 2757-9255

Cloud computing

Decision theory

Multi criteria decision makingBulut bilişim

Karar teorisi

Çok kriterli karar verme

Issues

Authors:

Onur Koşar | Mehmet Atak

Publisher:

Cukurova University

Main Topics:

Çok Ölçütlü Karar Verme | Endüstri Mühendisliği

Journal:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 4, pp.939-953

Document Type:

Article

Publication Date:

12/2023

Document Language:

Turkish

Document ID (Org No.):

2001307427

pISSN:

2757-9255