Details

Autor(en) / Beteiligte

• Radhika, E.G.
• Sudha Sadasivam, G.

Titel

Budget optimized dynamic virtual machine provisioning in hybrid cloud using fuzzy analytic hierarchy process

Ist Teil von

• Expert systems with applications, 2021-11, Vol.183, p.115398, Article 115398

Ort / Verlag

New York: Elsevier Ltd

Erscheinungsjahr

2021

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• •Unique set of selection factors are used to rank Cloud service providers(CSP).•Multi Criteria Decision Model is implemented to rank using Extent Analysis of FAHP.•An Optimized Flavor is recommended for Virtual Machine(VM) provisioning in hybrid cloud.•A budget optimized algorithm called BOPVM for VM provisioning is proposed based on CSP ranking.•Dynamic cost deviation factors and budget constraints are considered among cloud vendors. Among various deployment models, Hybrid cloud is the preferred model allowing customers to maximize cost savings and performance by leveraging advantage of quick provisioning capabilities of public cloud. However, due to vast diversity of cloud services, today’s struggle for the customers is to evaluate and discover the best fit Cloud Service Provider (CSP) for an efficient Virtual Machine (VM) provisioning in various hybrid cloud contracts of multi cloud environment. Currently there is no framework that allows customers to evaluate CSPs based on application workload, application environment and employ an budget optimized VM provisioning with dynamically varying factors while adhering to Service Level Agreement (SLA). Hence, the proposed VM Provisioning framework is a Multi Criteria Decision-Making (MCDM) model with an objective to provision the VMs from the well suited CSP in hybrid cloud. The framework initially derives weights for each decision-making input criteria considered as Quality of Service (QoS) Service Measurement Index (SMI) attributes using extent analysis method of Fuzzy Analytical processing (FHP). It ranks the CSP by aggregating weights of decision makers among the alternatives. The framework then proposes a budget optimized algorithm called BOPVM to provision VMs in the hybrid cloud based on the order of assigned rank to CSPs. The framework is evaluated and implemented on real time workload among the CSPs – Amazon, Azure and Openstack. The evaluation results shows significant provisioning cost savings of 50% with reduced provisioning time by 65% when compared with existing algorithms.