Model-driven elasticity for cloud resources

H Brabra, A Mtibaa, W Gaaloul, B Benatallah - … Systems Engineering: 30th …, 2018 - Springer
Advanced Information Systems Engineering: 30th International Conference, CAiSE …, 2018Springer
Elasticity is a key distinguishing feature of cloud services. It represents the power to
dynamically reconfigure resources to adapt to varying resource requirements. However, the
implementation of such feature has reached a level of complexity since various and non
standard interfaces are provided to deal with cloud resources. To alleviate this, we believe
that elasticity features should be provided at resource description level. In this paper, we
propose a Cloud Resource Description Model (cRDM) based on State Machine formalism …
Abstract
Elasticity is a key distinguishing feature of cloud services. It represents the power to dynamically reconfigure resources to adapt to varying resource requirements. However, the implementation of such feature has reached a level of complexity since various and non standard interfaces are provided to deal with cloud resources. To alleviate this, we believe that elasticity features should be provided at resource description level. In this paper, we propose a Cloud Resource Description Model (cRDM) based on State Machine formalism. This novel abstraction allows representing cloud resources while considering their elasticity behavior over the time. Our prototype implementation shows the feasibly and experiments illustrate the productivity and expressiveness of our cRDM model in comparison to traditional solutions.
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