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Memorias de investigación
Ponencias en congresos:
A trust and reputation system for energy optimization in cloud data centers
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ciencias de la computación y tecnología informática,
  • Ingeniería eléctrica, electrónica y automática
The increasing success of Cloud Computing applications and online services has contributed to the unsustainability of data center facilities in terms of energy consumption. Higher resource demand has increased the electricity required by computation and cooling resources, leading to power shortages and outages, specially in urban infrastructures. Current energy reduction strategies for Cloud facilities usually disregard the data center topology, the contribution of cooling consumption and the scalability of optimization strategies. Our work tackles the energy challenge by proposing a temperature-aware {VM} allocation policy based on a {Trust-and-Reputation} System ({TRS}). A {TRS} meets the requirements for inherently distributed environments such as data centers, and allows the implementation of autonomous and scalable {VM} allocation techniques. For this purpose, we model the relationships between the different computational entities, synthesizing this information in one single metric. This metric, called reputation, would be used to optimize the allocation of {VMs} in order to reduce energy consumption. We validate our approach with a state-of-the-art Cloud simulator using real Cloud traces. Our results show considerable reduction in energy consumption, reaching up to 46.16\% savings in computing power and 17.38\% savings in cooling, without {QoS} degradation while keeping servers below thermal redlining. Moreover, our results show the limitations of the {PUE} ratio as a metric for energy efficiency. To the best of our knowledge, this paper is the first approach in combining {Trust-and-Reputation} systems with Cloud Computing {VM} allocation.
Nombre congreso
2015 IEEE 8th International Conference on Cloud Computing (CLOUD)
Tipo de participación
Lugar del congreso
New York City, NY, USA
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Título de las actas
Proceedings of the 2015 IEEE 8th International Conference on Cloud Computing
Esta actividad pertenece a memorias de investigación
  • Autor: Ignacio Aransay (Universidad Politecnica de Madrid (LSI))
  • Autor: Marina Zapater Sancho (UPM)
  • Autor: Patricia Arroba Garcia (UPM)
  • Autor: Jose Manuel Moya Fernandez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Centro o Instituto I+D+i: Centro de Investigación en Simulación Computacional
  • Departamento: Ingeniería Electrónica
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