K-means and alternative clustering methods in modern power systems
As power systems evolve by integrating renewable energy sources, distributed generation,
and electric vehicles, the complexity of managing these systems increases. With the …
and electric vehicles, the complexity of managing these systems increases. With the …
A taxonomy and survey of power models and power modeling for cloud servers
Due to the increasing demand of cloud resources, the ever-increasing number and scale of
cloud data centers make their massive power consumption a prominent issue today …
cloud data centers make their massive power consumption a prominent issue today …
Clustering cloud workloads: K-means vs gaussian mixture model
E Patel, DS Kushwaha - Procedia computer science, 2020 - Elsevier
The growing heterogeneity due to diverse Cloud workloads such as Big Data, IoT and
Business Data analytics, requires precise characterization to design a successful capacity …
Business Data analytics, requires precise characterization to design a successful capacity …
Power modeling for energy-efficient resource management in a cloud data center
An accurate host power model is necessary for effective power management in data centers
which is crucial for reducing energy consumption and cost. One should evaluate the power …
which is crucial for reducing energy consumption and cost. One should evaluate the power …
An artificial neural network approach to power consumption model construction for servers in cloud data centers
The power consumption estimation or prediction of cloud servers is the basis of energy-
aware scheduling to realize energy saving in cloud datacenters. The existing works are …
aware scheduling to realize energy saving in cloud datacenters. The existing works are …
A recent review of risk-based inspection development to support service excellence in the oil and gas industry: an artificial intelligence perspective
T Aditiyawarman, APS Kaban… - … -ASME Journal of …, 2023 - asmedigitalcollection.asme.org
Inspection and Maintenance methods development have a pivotal role in preventing the
uncertainty-induced risks in the oil and gas industry. A key aspect of inspection is evaluating …
uncertainty-induced risks in the oil and gas industry. A key aspect of inspection is evaluating …
A hardware-aware CPU power measurement based on the power-exponent function model for cloud servers
The energy consumption of cloud servers accounts for about 25% of the total energy of
cloud data centers. Reducing and optimizing this energy consumption is thus extremely …
cloud data centers. Reducing and optimizing this energy consumption is thus extremely …
Combining genetic algorithms and bayesian neural networks for resource usage prediction in multi-tenant container environments
S Park, H Bahn - Cluster Computing, 2025 - Springer
Traditional cloud architectures struggle to effectively allocate resources to container-based
workloads due to fluctuating usage patterns and potential interference among multi-tenants …
workloads due to fluctuating usage patterns and potential interference among multi-tenants …
ARIMA time Series Model vs. K-means clustering for cloud workloads performance
To develop a thriving ability plan and protect the observable of Internet service providers of
cloud environment, the increased heterogeneity brought on by various Cloud workloads …
cloud environment, the increased heterogeneity brought on by various Cloud workloads …
Comparison of Clustering Results using K-Means, Gaussian Mixture Models, Based on Seven Sectors of Country Electricity and Correlation with Gross National …
S Lukas, RM Suryaputri… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Choosing the optimal method for clustering is important. In this research, clustering was
carried out against 117 countries based on seven electricity sector indices, using data on 3 …
carried out against 117 countries based on seven electricity sector indices, using data on 3 …