A power consumption model for cloud servers based on elman neural network
Leveraging power consumption models in software systems can achieve easy deployment
of low-cost, high-availability power monitoring in cloud datacenters that are usually large …
of low-cost, high-availability power monitoring in cloud datacenters that are usually large …
Android unikernel: Gearing mobile code offloading towards edge computing
Abstract Recently, Mobile Cloud Computing (MCC) which utilizes cloud to enhance mobile
device's performance, is becoming more and more popular. A typical approach of MCC is to …
device's performance, is becoming more and more popular. A typical approach of MCC is to …
Fine-grained warm water cooling for improving datacenter economy
Driven by the increasing power consumption of datacenters, the industry is focusing more on
water cooling for improving the energy efficiency. Using warm water to cool servers has …
water cooling for improving the energy efficiency. Using warm water to cool servers has …
Accountable Carbon Footprints and Energy Profiling For Serverless Functions
P Sharma, A Fuerst - Proceedings of the 2024 ACM Symposium on …, 2024 - dl.acm.org
Cloud computing is a significant and growing cause of carbon emissions. Understanding the
energy consumption and carbon footprints of cloud applications is a fundamental …
energy consumption and carbon footprints of cloud applications is a fundamental …
Heat to power: Thermal energy harvesting and recycling for warm water-cooled datacenters
Warm water cooling has been regarded as a promising method to improve the energy
efficiency of water-cooled datacenters. In warm water-cooling systems, hot spots occur as a …
efficiency of water-cooled datacenters. In warm water-cooling systems, hot spots occur as a …
A frequency-aware management strategy for virtual machines in DVFS-enabled clouds
It is demanding to curtail energy consumption of virtual-machine-powered data centers,
because modern data centers have been significantly scaling up in capacity in past …
because modern data centers have been significantly scaling up in capacity in past …
An adaptive energy-aware stochastic task execution algorithm in virtualized networked datacenters
Virtualized networked datacenters (VNDCs) are gaining considerable attention for stochastic
task execution under real-time constraints. However, the problem of efficiently minimizing …
task execution under real-time constraints. However, the problem of efficiently minimizing …
Resource demand misalignment: An important factor to consider for reducing resource over-provisioning in cloud datacenters
H Shen, L Chen - IEEE/ACM Transactions on Networking, 2018 - ieeexplore.ieee.org
Previous resource provisioning strategies in cloud datacenters allocate physical resources
to virtual machines (VMs) based on the predicted resource utilization pattern of VMs. The …
to virtual machines (VMs) based on the predicted resource utilization pattern of VMs. The …
Pcp-2lstm: Two stacked lstm-based prediction model for power consumption in data centers
As the size of data centers and cloud computing continue to expand, power consumption in
data centers is rapidly increasing. It has a great significance to predict and analyze power …
data centers is rapidly increasing. It has a great significance to predict and analyze power …
Estimating power consumption of containers and virtual machines in data centers
Virtualization technologies provide solutions of cloud computing. Virtual resource
scheduling is a crucial task in data centers, and the power consumption of virtual resources …
scheduling is a crucial task in data centers, and the power consumption of virtual resources …