The next 700 CPU power models

M Colmant, R Rouvoy, M Kurpicz, A Sobe… - Journal of Systems and …, 2018 - Elsevier
Software power estimation of CPUs is a central concern for energy efficiency and resource
management in data centers. Over the last few years, a dozen of ad hoc power models have …

Security-by-design in multi-cloud applications: An optimization approach

V Casola, A De Benedictis, M Rak, U Villano - Information Sciences, 2018 - Elsevier
Currently an increasing number of customers require cloud services with guaranteed
security levels. At this aim, the adoption of multi-cloud strategies is spreading in a large …

A prediction-based model for virtual machine live migration monitoring in a cloud datacenter

SE Motaki, A Yahyaouy, H Gualous - Computing, 2021 - Springer
Live migration of virtual machines proves to be inexorable in providing load balancing
among physical devices and allowing scalability and flexibility in resource allocation. The …

A prediction-based model for virtual machine live migration monitoring in a cloud datacenter

S El Motaki, Y Ali, G Hamid - Computing. Archives for …, 2021 - search.proquest.com
Live migration of virtual machines proves to be inexorable in providing load balancing
among physical devices and allowing scalability and flexibility in resource allocation. The …

Energy-proportional profiling and accounting in heterogeneous virtualized environments

M Kurpicz, AC Orgerie, A Sobe, P Felber - … Computing: Informatics and …, 2018 - Elsevier
The costs of current data centers are mostly driven by their energy consumption (specifically
by the air conditioning, computing and networking infrastructure). Yet, current pricing models …

Energy minimization at all layers of the data center: The ParaDIME Project

O Palomar, S Rethinagiri, G Yalcin… - … , Automation & Test …, 2016 - ieeexplore.ieee.org
The main objective of the ParaDIME project has been to minimize energy consumption at all
levels of the data center. On the one hand, we have considered what can be achieved on …

Energy Saving in Cloud by Using Enhanced Instance Based Learning (EIBL) for Resource Prediction

S Pelluri, R Sirandas - Sustainable Cloud and Energy Services: Principles …, 2018 - Springer
The dynamic demand for resources from different users of Cloud makes resource
management extremely important in design and decision-making processes in cloud …

[引用][C] The effect of cloud workload consolidation on cloud energy consumption and performance in multi-tenant cloud infrastructure

K Mosoti Derdus, V Oteke Omwenga, PJ Ogao - 2019 - International Journal of Computer …