Multicriteria Analysis for IaaS Cloud Providers Selection

Because of the variety of IaaS cloud providers, the available information to the clients becomes confusing. Likewise, due the lacking uniformity of provided services and data representation, the combination of diversified rate, the complexity of the settings, the uncertainty about settings and necessary resources result on a challenge in target provider selection. To attenuate the problem, on the present project the multicriteria method is used to analyze the hierarchy process, optimizing the decision-making process. From experimental results, based on genuine administrators' opinions, it is noticed that clients have trouble in the selection of the provider, showing a latent necessity of tools that automate and simplify decision-making. Mainly, the proposed mechanism, not only optimizes the providers selection of IaaS clouds, but also makes it easier.

[1]  Nikolay Borissov,et al.  Cloud Computing – A Classification, Business Models, and Research Directions , 2009, Bus. Inf. Syst. Eng..

[2]  Kemal Kilic,et al.  Selecting cloud computing service provider with fuzzy AHP , 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[3]  Nor Badrul Anuar,et al.  Cloud Service Selection Using Multicriteria Decision Analysis , 2014, TheScientificWorldJournal.

[4]  Roozbeh Farahbod,et al.  Dynamic Resource Allocation in Computing Clouds Using Distributed Multiple Criteria Decision Analysis , 2010, 2010 IEEE 3rd International Conference on Cloud Computing.

[5]  Frank Teuteberg,et al.  Decision-making in cloud computing environments: A cost and risk based approach , 2011, Information Systems Frontiers.

[6]  Fereidoon Shams Aliee,et al.  An AHP-based approach toward enterprise architecture analysis based on enterprise architecture quality attributes , 2011, Knowledge and Information Systems.

[7]  Thomas L. Saaty,et al.  Models, Methods, Concepts & Applications of the Analytic Hierarchy Process , 2012 .

[8]  Xavier Hesselbach,et al.  Virtual Network Embedding: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[9]  Jin Tong,et al.  NIST Cloud Computing Reference Architecture , 2011, 2011 IEEE World Congress on Services.

[10]  Yi Peng,et al.  The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment , 2011, The Journal of Supercomputing.

[11]  Muhammad Khurram Khan,et al.  Cloud resource allocation schemes: review, taxonomy, and opportunities , 2017, Knowledge and Information Systems.

[12]  Guilherme Piegas Koslovski,et al.  Um Modelo de Custo para Nuvens IaaS baseado no Consumo de Energia de Máquinas Virtuais , 2016 .

[13]  Eddy Caron,et al.  Multi-criteria malleable task management for hybrid-cloud platforms , 2016, 2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech).

[14]  T. Saaty.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[15]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[16]  Rajkumar Buyya,et al.  A framework for ranking of cloud computing services , 2013, Future Gener. Comput. Syst..