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Future data center energy-conservation and emission-reduction technologies in the context of smart and low-carbon city construction
The energy consumption of data centers accounts for approximately 1% of that of the world,
the average power usage effectiveness is in the range of 1.4–1.6, and the associated carbon …
the average power usage effectiveness is in the range of 1.4–1.6, and the associated carbon …
A review on energy efficiency and demand response with focus on small and medium data centers
Data centers are the backbone of a growing number of activities in modern economies.
However, the large increase of digital content, big data, e-commerce, and Internet traffic is …
However, the large increase of digital content, big data, e-commerce, and Internet traffic is …
Multi-objective communication-aware optimization for virtual machine placement in cloud datacenters
This paper formulates a new multi-objective virtual machine placement (VMP) problem,
which is a challenging task in cloud datacenters (DCs). In cloud environment, there are two …
which is a challenging task in cloud datacenters (DCs). In cloud environment, there are two …
Hardware-accelerated platforms and infrastructures for network functions: A survey of enabling technologies and research studies
In order to facilitate flexible network service virtualization and migration, network functions
(NFs) are increasingly executed by software modules as so-called “softwarized NFs” on …
(NFs) are increasingly executed by software modules as so-called “softwarized NFs” on …
Reinforcement learning-based application autoscaling in the cloud: A survey
Reinforcement Learning (RL) has demonstrated a great potential for automatically solving
decision-making problems in complex, uncertain environments. RL proposes a …
decision-making problems in complex, uncertain environments. RL proposes a …
ROTOS: a reconfigurable and cost-effective architecture for high-performance optical data center networks
Fast and high capacity optical switching techniques have the potential to enable low latency
and high throughput optical data center networks (DCNs) to afford the rapid increasing traffic …
and high throughput optical data center networks (DCNs) to afford the rapid increasing traffic …
The war of the efficiencies: Understanding the tension between carbon and energy optimization
Major innovations in computing have been driven by scaling up computing infrastructure,
while aggressively optimizing operating costs. The result is a network of worldwide …
while aggressively optimizing operating costs. The result is a network of worldwide …
Towards accurate and reliable energy measurement of NLP models
Accurate and reliable measurement of energy consumption is critical for making well-
informed design choices when choosing and training large scale NLP models. In this work …
informed design choices when choosing and training large scale NLP models. In this work …
A framework for IoT data acquisition and forensics analysis
H Chi, T Aderibigbe, BC Granville - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
A framework for IOT data acquisition and analysis is proposed. This framework can help
data collection from a variety of different IoT devices. More precisely, our objective is to …
data collection from a variety of different IoT devices. More precisely, our objective is to …
SDN-controlled and orchestrated OPSquare DCN enabling automatic network slicing with differentiated QoS provisioning
Optical switching techniques have the potential to enable the optical data center network
(DCN) interconnections providing high capacity and fast switching capabilities, overcoming …
(DCN) interconnections providing high capacity and fast switching capabilities, overcoming …