Power Modeling for Energy-Efficient Resource Management in a Cloud Data Center

Tarafdar, Anurina; Sarkar, Soham; Das, Rajib; Khatua, Sunirmal

doi:10.1007/s10723-023-09642-5

Cited by 7 publications

(3 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Finalmente, Tarafdar et al (2023) proponen modelos de energía basados en regresión y algoritmos de consolidación y colocación de máquinas virtuales (mv) que superan a MAV y a otros en términos de eficiencia energética y calidad de servicio (QoS). Estas investigaciones reflejan la diversidad de enfoques y la continua evolución de métodos para abordar problemas de transporte en distintos contextos y con distintos objetivos.…”

Section: Issn Online 2007-9621unclassified

Estrategia en el suministro de botellas de agua purificada con el logaritmo aproximación Vogel

Avila Soler,

Loyo Quijada,

López Ontiveros

et al. 2024

Acta Universitaria

View full text Add to dashboard Cite

En esta investigación se propone una herramienta aplicable a cualquier sector productivo que busque eficientar el uso y manejo de los recursos internos en una organización. El objetivo del trabajo es minimizar los costos de transporte en el envío de agua purificada embotellada ante variaciones en los pedidos de clientes por medio del logaritmo de aproximación Vogel. El método consistió en aplicar los cinco puntos siguientes: 1) recolectar información interna y externa, 2) analizar y depurar la información, 3) simular en software, 4) interpreta los resultados y 5) proponer soluciones. Los resultados arrojados determinaron que el costo mínimo de transporte de botellas de agua para las presentaciones de 600 ml, 1000 ml y 2000 ml fueron de $150.6, $251.5 y $494 pesos mexicanos, respectivamente; además, cada producto genera una ruta óptima ideal. Se concluye que la metodología permitió generar información relevante para la toma de decisiones estratégicas en la empresa con base en las condiciones actuales.

show abstract

Section: Issn Online 2007-9621unclassified

Estrategia en el suministro de botellas de agua purificada con el logaritmo aproximación Vogel

Avila Soler,

Loyo Quijada,

López Ontiveros

et al. 2024

Acta Universitaria

View full text Add to dashboard Cite

show abstract

“…D ATA centers (DCs) and transport networks (TNs), as two significant contributors to the global energy consumption, account for the majority of ICT power consumption [1], approximately 80%, which is predicted to capture 20% of global electricity demand by 2030 [2]. Given the increasing prominence of DCs as significant energy consumers globally, cloud providers are motivated to reduce their energy consumption to address economic and environmental concerns, such as high power consumption bills and government taxes on greenhouse gas emissions [3].…”

Section: Introductionmentioning

confidence: 99%

“…Following the deployment of equipment and the allocation of CAPEX, the adoption of an optimal resource allocation (RA) strategy, leveraging the inherent flexibility of NFV and EON solutions, can effectively reduce OPEX [4], [7]. Within this context, optimizing energy consumption serves the dual purpose of reducing OPEX and addressing environmental concerns [3]. In order to maximize power efficiency, the implementation of an effective RA approach is necessary.…”

Section: Introductionmentioning

confidence: 99%

Power-Efficient Joint Dynamic Resource Allocation in Virtualized Inter-Data Center Elastic Optical Networks

Ahmadi,

Hadi,

Reza Pakravan

2024

IEEE Access

View full text Add to dashboard Cite

Network virtualization, as a key driver for revenue enhancement, is under deep exploration by the communication society. Elastic optical network is a growing inter-data center communication solution whose flexible nature facilitates commercial implementation of virtualization concepts. Flexibility and virtuality are two main pillars of efficient networking which meet in a virtualized inter-data center elastic optical network and their interwoven management can significantly reduce the power consumption of data center networks, as a significant energy-consuming contributor. An efficient resource allocation is required to harvest the expected gain of a virtualized network. We propose a power-efficient joint dynamic resource allocation scheme, which optimally allocates computation and communication resources in an inter-data center elastic optical network. The scheme incorporates the benefits of conventional offline and online resource allocation schemes and reduces the power consumption by 19% compared to its traditional counterparts while keeping the delay and service outage below their desired thresholds. The proposed scheme not only supports traffic streams with distinguished service requirements but also exploits the involved service differentiation to further improve power efficiency. Strikingly, in a typical scenario where delaysensitive and delay-tolerant services co-exist, the reduction in power consumption can be enhanced up to 50%. The efficiency is further improved for a higher number of delay-tolerant services with more relaxed delay requirement. The proposed scheme provides an intelligent compromise between service outage and service requirements under tough networking conditions such that the service requirements of the delaysensitive services are maintained for the least number of dropped bits in the delay-tolerant services.

show abstract