Results 131 to 140 of about 456,270 (290)

Exploiting Network-Topology Awareness for VM Placement in IaaS Clouds

, 2013
In contemporary IaaS configurations, resources are distributed to users primarily through the assignment of virtual machines (VMs) to physical nodes (PMs). This resource allocation is typically done in a way that does not consider user preferences and is
Tsakalozos, Konstantinos, Delis, Alex, Georgiou, Stefanos   +2 more
core   +1 more source

Synthesis of Ladder and Flexible Polysulfonimides Directly From Anionic Monomers: Investigating Structure–Property Convergence in Succinonitrile–Polymer Electrolyte Blends

Angewandte Chemie, EarlyView.
Direct synthesis of sulfonimide‐based polymers of intrinsic microporosity enables comparison with compositionally similar flexible analogs. Incorporation of a common pore‐filling transport medium drives these fundamentally different polymer architectures toward similar bulk conductivity and mechanical properties while revealing distinct microscopic ion‐
Abraham Herzog‐Arbeitman, Pablo Leon, Benedikt S. Schreib, KyuJung Jun, Jurgis Ruza, Vanesa Munoz Perales, Yang Shao‐Horn, Rafael Gomez‐Bombarelli, Jeremiah A. Johnson   +8 more
wiley   +2 more sources

Novel meta-heuristic optimization approach for joint task scheduling and virtual machine placement using Java Macaque Algorithm

Journal of Cloud Computing: Advances, Systems and Applications
This study investigates joint task scheduling and virtual machine placement (JTSVMP) in heterogeneous cloud data centres, where task-to-VM assignment and VM-to-physical-host placement must be optimized together to reduce execution delay, cost, energy ...
Dinesh Karunanidy, Nandhini Mahadevan, Mamoon Rashid, Sultan S. Alshamrani, Jasem Almotiri   +4 more
doaj   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Atomic Scale Control of Thermal Conductivity in LaMnO3/SrMnO3 Superlattices

Advanced Electronic Materials, EarlyView.
Interface‐dominated cross‐plane thermal transport in [(LaMnO3)m/(SrMnO3)n]10 superlattices can be controlled by the octahedral rotation/tilt angle φOOR of the MnO6 octahedra, which as well is controlled by the “m/n” ratio. ABSTRACT We report atomic scale structure and phonon thermal transport in (LaMnO3)m/(SrMnO3)n/SrTiO3(100) superlattices (LMO/SMO ...
H. Ulrichs, V. Roddatis, U. Roß, J. P. Bange, D. Meyer, S. Lopatin, V. Radisch, D. Metternich, I. V. Maznichenko, S. Ostanin, R. Egoavil, I. Lazić, V. Moshnyaga   +12 more
wiley   +1 more source

3D Printed Ordered Porous Architectures of Functional Metal Tellurides for Ultra High Mass‐Loaded Ammonium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Aqueous ammonium‐ion batteries (AAIBs) are emerging as promising alternatives for next‐generation energy storage. To overcome the limited ion diffusion associated with ultrahigh mass‐loading electrodes, this work develops a 3D‐printed porous conductive electrode of metal‐telluride fabricated via selective laser melting technique.
Puja De, Petr Lazar, Michal Otyepka, Jakub Mesicek, Jiri Hajnys, Martin Pumera   +5 more
wiley   +1 more source

Optimizing Energy Efficiency in Cloud Data Centers: A Reinforcement Learning-Based Virtual Machine Placement Strategy

Network
Cloud computing faces growing challenges in energy consumption due to the increasing demand for services and resource usage in data centers. To address this issue, we propose a novel energy-efficient virtual machine (VM) placement strategy that ...
Abdelhadi Amahrouch, Youssef Saadi, Said El Kafhali   +2 more
doaj   +1 more source

Covalently Locked Donor–Acceptor Block Copolymer Nanoparticles Enable Efficient, Stable and Reproducible Photocatalytic Hydrogen Evolution

Advanced Energy Materials, EarlyView.
To overcome the efficiency–stability trade‐off of traditional donor:acceptor blends, covalently locked all‐conjugated block copolymer nanoparticles are developed for solar hydrogen production. This strategy achieves an outstanding HER rate exceeding 120 mmol cm−2 g−1 h−1, alongside exceptional operational stability (95% retention after 96 h) and high ...
Alexandre Holmes, Qiaonan Chen, Rafael Bicudo Ribeiro, Leandro R. Franco, Soumi Roy, Linnea Lind, Xiaoman Bi, Mateus Bergami, Mathis Mortensen Brette, Lunjie Zeng, Eva Olsson, Bo Albinsson, Márcio T. do N. Varella, C. Moyses Araujo, Ergang Wang   +14 more
wiley   +1 more source

Particle Swarm Optimization as a Noise‐Tolerant Strategy for High‐Entropy Alloy Research

Advanced Intelligent Discovery, EarlyView.
A customized particle swarm optimization algorithm is benchmarked against batch Bayesian optimization across four high‐entropy alloy oxygen‐reduction landscapes. While both methods locate the global optimum comparably under noise‐free conditions, Bayesian optimization’s surrogate model tends to overfit noisy data.
Ahmad Tirmidzi, Matthias Arenz, Vladislav A. Mints   +2 more
wiley   +1 more source

Energy Efficient VM Selection Using CSOA‐VM Model in Cloud Data Centers

CAAI Transactions on Intelligence Technology
The cloud data centres evolved with an issue of energy management due to the constant increase in size, complexity and enormous consumption of energy.
Mandeep Singh Devgan, Tajinder Kumar, Purushottam Sharma, Xiaochun Cheng, Shashi Bhushan, Vishal Garg   +5 more
doaj   +1 more source