Results 81 to 90 of about 6,652,021 (195)
Deterministic Lightweight VM placement for HANDLING resource constraint issues in the cloud
The virtual machines (VMs) placement is the subject of current cloud computing research. This study proposes the energy-constrained VM placement technique to address the issue of placing location limits on VMs to satisfy their requirements throughout the
D. Mythrayee, V.S. Lavanya
doaj +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Data for: A Hybrid Energy-Aware Virtual Machine Placement Algorithm in Cloud Environment
This Folder contains the Matlab code Implementation for the proposed IGA-POP algorithm for virtual machine placement in cloud ...
Abohamama, Abdelaziz +1 more
core +1 more source
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Security Aware Virtual Machine Placement in Cloud
This is the era of Cloud Computing. Today Cloud providers such as Amazon Web Services (AWS), Microsoft Azure and Rackspace etc. are providing reliable, scalable, and inexpensive cloud computing services.
Shukla, Smriti
core +1 more source
Metaheuristic approaches to virtual machine placement in cloud computing: a review [PDF]
Virtual machine placement (VMP) is mapping virtual machines (VMs) to appropriate physical machines (PMs) to achieve satisfactory objectives such as minimised energy consumption or maximised performance. VMP is considered as a non-deterministic polynomial-
Dabiah Ahmed Alboaneen +5 more
core +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Autonomous field robots equipped with ISFET‐based sensors enable rapid, spatially resolved soil nutrient analysis directly in the field. An automated system based on the BoniRob platform is presented for standardized on‐site extraction and measurement of key macronutrients and soil pH.
Vadim Riedel +3 more
wiley +1 more source
A patterning algorithm for the dynamic bin packing problem with placement groups
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
Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won +5 more
wiley +1 more source

