Results 111 to 120 of about 124,772 (332)

A patterning algorithm for the dynamic bin packing problem with placement groups

open access: yesМоделирование и анализ информационных систем
We consider an NP-hard problem of dynamically distributing virtual machines to servers with placement groups. For each virtual machine, parameters such as required number of resources and creation and deletion timestamps are known.
Evgeniy A. Brazhnikov   +2 more
doaj   +1 more source

Incorporating Ceteris Paribus Preferences in Multiobjective Virtual Machine Placement

open access: yesIEEE Access, 2019
Proper handling of preferences in multiobjective evolutionary algorithms is essential for the algorithms' success in real-life applications. While there has been a tremendous work addressing preferences in evolutionary algorithms, the issue of the exact ...
Abdulaziz S. Alashaikh, Eisa A. Alanazi
doaj   +1 more source

Virtual machine placement otimization

open access: yes, 2019
Computação em nuvem pode ser definida como uma tecnologia de oferta de serviços de computação por meio da Internet, utilizando virtualização de máquinas.
Rodrigues, João Antonio Magri
core  

Security-aware virtual machine placement in cloud data center

open access: yes, 2016
Infrastructure as a Service (IaaS) facilitates the provisioning of virtual machines (VMs) in cloud computing platform for disjoint customers in a highly scalable, flexible, and cost-efficient fashion.
Xuebiao Yuchi   +5 more
core   +1 more source

Transcription Factor Promiscuity Drives Regulatory Rewiring and Evolvability in Gene Networks in Bacteria

open access: yesAdvanced Science, EarlyView.
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley   +1 more source

Energy-Aware Dynamic Virtual Machine Consolidation for Cloud Datacenters

open access: yesIEEE Access, 2018
Resource over provisioning in cloud computing consumes energy excessively. Energy-aware dynamic virtual machine consolidation (DVMC) reduces energy consumption without compromising service level agreement. In this paper, we put forward a new framework of
Hui Wang, Huaglory Tianfield
doaj   +1 more source

A Methodology for Task placement and Scheduling Based on Virtual Machines

open access: yesKSII Transactions on Internet and Information Systems, 2011
Task placement and scheduling are traditionally studied in following aspects: resource utilization, application throughput, application execution latency and starvation, and recently, the studies are more on application scalability and application performance.
Xiaojun Chen 0007   +2 more
openaire   +1 more source

Quality Estimation of Virtual Machine Placement in Cloud Infrastructures

open access: yes, 2017
Part 4: Test Selection and Quality EstimationInternational audienceA virtual machine (VM) placement module is a component/part of a cloud (computing) infrastructure, which chooses the best host(s) to allocate the requested VMs.
Natalia Kushik   +5 more
core   +1 more source

An Inhomogeneous Hidden Markov Model for Efficient Virtual Machine Placement in Cloud Computing Environments [PDF]

open access: yes, 2016
In a cloud environment virtual machines are created with different purposes like providing users with computers, handling web traffic etc. A virtual machine is created in such a way that a user will not notice any differences from working on a ...
Hammer, Hugo Lewi   +5 more
core   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

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