RMORM: A framework of Multi-objective Optimization Resource Management in Clouds

Dai, Wei; Chen, Haopeng; Wang, Wenting; Chen, Xi

doi:10.1109/services.2013.85

Cited by 17 publications

(1 citation statement)

References 14 publications

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“…In the recent years, several approaches have been proposed to find the optimal deployment of VMs among the di↵erent IaaS providers, mainly focusing on performance optimization [3] or energy consumption reduction [8]. This work integrates these important aspects with the perspective of application monitorability: the possibility to measure and assess the performances of the provided application.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Monitorability of Multi-cloud Applications

Fadda

Plebani

Vitali

2016

Advanced Information Systems Engineering

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Abstract. When adopting a multi-cloud strategy, the selection of cloud providers where to deploy VMs is a crucial task for ensuring a good behaviour for the developed application. This selection is usually focused on the general information about performances and capabilities o↵ered by the cloud providers. Less attention has been paid to the monitoring services although, for the application developer, is fundamental to understand how the application behaves while it is running. In this paper we propose an approach based on a multi-objective mixed integer linear optimization problem for supporting the selection of the cloud providers able to satisfy constraints on monitoring dimensions associated to VMs. The balance between the quality of data monitored and the cost for obtaining these data is considered, as well as the possibility for the cloud provider to enrich the set of monitored metrics through data analysis.

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Section: Introductionmentioning

confidence: 99%