Cloud Service Selection Using Multicriteria Decision Analysis

Table 2

Summary of different applied multicriteria methods for cloud service selection.

MCDA technique	Aspects	Attributes	Reference
AHP	Consumer-centered service selection, especially for medical services	User preference	[35]
TOPSIS	QoS-based multiple service selection with fuzzy options	Linguistic variable triangular fuzzy numbers	[39]
PROMETHEE	Dynamic autonomous resource, management, and scalability	Suitable for large data centers	[49]
AHP	Fuzzy AHP with IVFs	2-tuple linguistic variables	[38]
Fuzzy	Fuzzy logic-based resource evaluation technique for the DSPR framework	Fuzzy inference engine for resource evaluation.	[45]
AHP	Identifying the scalability gain of enhanced agility in the selection process	Pairwise comparison	[50]
Fuzzy	Response time-based fuzzy control for the allocation of virtualized cloud resources	Adaptive output amplification and flexible rule selection	[44]
Fuzzy TOPSIS	New user centric service-oriented modeling approach in SCA.	Computational efficiency	[43]
AHP	Decision model to support cloud computing services	Costs and risk factors	[31]
Fuzzy DNAP and fuzzy VIKOR	Exploring interrelationships among criteria related to operations	Solves interdependence and feedback problems.	[48]
AHP and fuzzy TOPSIS	Optimal cloud path among class of clouds to perform offloaded computation tasks	Speed, bandwidth, price, security, and availability	[32]
AHP	Distributed resource management	Considers SLA and QoS	[34]
ANP	QoS measuring method for cloud service architecture	A supermatrix is employed for calculation	[46]
Fuzzy VIKOR	Assesses cloud service trustworthiness using a hybrid model	Weight-based preferences	[26]
IVF and VIKOR	Decision analysis model for service selection	Linguistic variables	[47]
AHP	Task-oriented resource allocation	Bandwidth, task costs, and time	[51]