Pricing Schemes in Cloud Computing: An Overview
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 2
Abstract
Cloud Computing is one of the technologies with rapid development in recent years where there is increasing interest in industry and academia. This technology enables many services and resources for end users. With the rise of cloud services number of companies that offer various services in cloud infrastructure is increased, thus creating a competition on prices in the global market. Cloud Computing providers offer more services to their clients ranging from infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), storage as a service (STaaS), security as a service (SECaaS), test environment as a service (TEaaS). The purpose of providers is to maximize revenue by their price schemes, while the main goal of customers is to have quality of services (QoS) for a reasonable price. The purpose of this paper is to compare and discuss several models and pricing schemes from different Cloud Computing providers.
Authors and Affiliations
Artan Mazrekaj, Isak Shabani, Besmir Sejdiu
Keywords
Related Articles
- EP ID EP159277
- DOI 10.14569/IJACSA.2016.070211
- Views 88
- Downloads 0
framework for Marketing Libraries in the Post-Liberalized Information and Communications Technology Era
The role of library is professional and is fast customizing to altering technological platforms. Our subscriber’s perceptions of the nature of our libraries are also altering like never before – particularly...
Assessment for the Model Predicting of the Cognitive and Language Ability in the Mild Dementia by the Method of Data-Mining Technique
Assessments of cognitive and verbal functions are widely used as screening tests to detect early dementia. This study developed an early dementia prediction model for Korean elderly based on random forest algorithm and c...
Unsupervised Ads Detection in TV Transmissions
A novel framework is presented that can segment semantic videos and detect commercials (ads) in a broadcasted TV transmission. The proposed technique combines SURF features and color Histogram in a weighted combination f...
Physical Activity Identification using Supervised Machine Learning and based on Pulse Rate
Physical activity is one of the key components for elderly in order to be actively ageing. Pulse rate is a convenient physiological parameter to identify elderly’s physical activity since it increases with activity and d...
Estimation Method of the Total Number of Wild Animals based on Modified Jolly’s Method
Estimation method of the total number, the probabilities of birth and alive of wild animals based on Jolly’s method is proposed. Jolly’s method requires putting tags to the captured wild animals by bank trap while just i...