Balanced energy-aware and fault-tolerant data center scheduling

M Shaukat, W Alasmary, E Alanazi, J Shuja, SA Madani… - Sensors, 2022 - mdpi.com
Fault tolerance, performance, and throughput have been major areas of research and
development since the evolution of large-scale networks. Internet-based applications are …

A Stochastic Approach to Determine the Optimal Number of Servers for Reliable and Energy Efficient Operation of Data Centers

KMU Ahmed, MHJ Bollen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The increasing demand of the data center's computational capacity in recent years has
introduced new data center operational challenges among others to maintain the service …

CloudBench: an integrated evaluation of VM placement algorithms in clouds

MA Gomez-Rodriguez, VJ Sosa-Sosa… - The Journal of …, 2020 - Springer
A complex and important task in the cloud resource management is the efficient allocation of
virtual machines (VMs), or containers, in physical machines (PMs). The evaluation of VM …

Active Adaptive Composite Fault Tolerant Controller Design For Nonlinear Systems

X Ning, X Lu, Y Xu, Z Fu - Journal of Physics: Conference Series, 2024 - iopscience.iop.org
It can be seen from the public opinion monitoring that there are many cases of death and
injury caused by quality problems of mechanical products, which poses a serious threat to …

Machine learning applied to chaos engineering

JS Hernández Serrato - 2022 - repositorio.uniandes.edu.co
Internet-scale systems need to assure their quality, researchers and practitioners have been
working on approaches and tools for monitoring, profiling, and testing of internet-scale …

[PDF][PDF] CloudBench: an integrated evaluation of VM placement algorithms in clouds. J Supercomput 76, 7047–7080 (2020).

MA Gomez-Rodriguez, VJ Sosa-Sosa, J Carretero - 2020 - e-archivo.uc3m.es
A complex and important task in the cloud resource management is the efficient allocation of
virtual machines (VMs), or containers, in physical machines (PMs). The evaluation of VM …