Automated Analysis of Cloud Offerings for Optimal Service Provisioning
|Author||García Rodríguez, José María
Martín Díaz, Octavio
Fernández Montes, Pablo
Ruiz Cortés, Antonio
Toro Bonilla, Miguel
|Department||Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos|
|Abstract||Cloud computing paradigm has brought an overwhelming
variety of cloud services from different providers, each one offering a
plethora of configuration and purchasing options for them. Users may
have certain requirements ...
Cloud computing paradigm has brought an overwhelming variety of cloud services from different providers, each one offering a plethora of configuration and purchasing options for them. Users may have certain requirements and preferences not only concerning service configuration, but also with respect to their usage schedule. In this situation, an appropriate provisioning plan considering all restrictions would help users to achieve their goals while taking into account the different available providers, their pricing and even the usage discounts they provide. In this work, we describe an automated solution that analyzes user needs that include scheduling restrictions to obtain optimized provisioning plans for different cloud providers, which allow users to compare several offerings that possibly consider volume or usage discounts. We validate this solution against a realistic use case, while also providing a prototype implementation in the form of publicly available microservices.
|Funding agencies||Ministerio de Economía y Competitividad (MINECO). España
Junta de Andalucía
|Citation||García Rodríguez, J.M., Martín Díaz, O., Fernández Montes, P., Ruiz Cortés, A. y Toro Bonilla, M. (2017). Automated Analysis of Cloud Offerings for Optimal Service Provisioning. En ICSOC 2017: 15th International Conference on Service-Oriented Computing (331-339), Málaga, España: Springer.|