Results 91 to 100 of about 356,281 (282)
Advanced Robotics Research, EarlyView.A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal +5 more
wiley +1 more source
IEEE Access, 2018 To reduce energy consumption and balance the resource load of physical machines (PMs) in cloud data centers, we present a game-based consolidation method of virtual machines (VMs) with energy and load (applied load) constraints.
Liangmin Guo +4 more
doaj +1 more source
Autonomous DRL-based energy efficient VM consolidation for cloud data centers
, 2022 The exponential data growth and demands for high computing resources lead to excessive resource use in cloud data centers, which cause an increase in energy consumption and high carbon emissions in the environment.
Abbas, Khizar +4 more
core +1 more source
Advanced Science, EarlyView.Functional amyloid conversion of the translation regulator CPEB3 is essential for long‐term memory persistence. This study demonstrates that targeting this molecular switch with the anti‐amyloidogenic peptide QBP1 selectively blocks CPEB3 fibrillation without disrupting phase separation.
Paula López‐García +13 more
wiley +1 more source
Software consolidation as an efficient energy and cost saving solution for a SaaS/PaaS cloud model [PDF]
, 2015 International audienceVirtual machines (VM) are used in cloud computing environments to isolate different software. Virtualization enables live migration, and thus dynamic VM consolidation.
Diot, Bruno +11 more
core +2 more sources
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
VM Consolidation and Migration for IAAS In Cloud Storage
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020 Cloud computing is capable of handling a huge amount of growing work in a predestined manner for the usage of the business customers. The main enabling technology for cloud computing is virtualization which generalize the physical infrastructure and makes it easy to use and manage.
openaire +1 more source
Towards VM Consolidation Using a Hierarchy of Idle States
, 2020 Typical VM consolidation approaches re-pack VMs into fewer physical machines, resulting in energy and cost savings Therefore, a key question is: How should VMs be transitioned between different states to minimize the expected miss penalty?
Tim Brecht, S Keshav, Rayman Preet Singh
core
Advanced Science, EarlyView.A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen +15 more
wiley +1 more source
Synergistic Policy and Virtual Machine Consolidation in Cloud Data Centers
In modern Cloud Data Centers (DC)s, correct implementation of network policies is crucial to provide secure, efficient and high performance services for tenants.
Pezaros, DP, Lin, C, Tso, FP, Cziva, R
core +3 more sources