Results 71 to 80 of about 3,474 (205)

Thresholds Before Labels: Ceiling Quantization Determines When Autoscaling Signals Change Replica Decisions

open access: yesComputers
Reactive autoscalers compress workload state into a scalar, but bounded ceiling partitions jointly induced by signal and target determine replica recommendations.
Dan Gabriel Badea   +4 more
doaj   +1 more source

Global Proteomic Analysis of Sperm and Seminal Plasma From Tropically‐Adapted Rams With Contrasting Parameters of Frozen‐Thawed Semen

open access: yesMolecular Reproduction and Development, Volume 93, Issue 10, October 2026.
ABSTRACT The aim of this study was to characterize the proteome of sperm and seminal plasma (SP) from rams with high semen freezability (HF) and low semen freezability (LF). Eleven ejaculates were collected from 12 rams, at 3‐day intervals, and cryopreserved (132 semen samples).
Wallisson Bruno de Morais Pacheco   +14 more
wiley   +1 more source

Genotype‐Dependent Chemical Diversity and Bioactivity in Purple Elephant Grass: A Metabolomics‐Guided Evaluation for Animal Nutrition

open access: yesNatural Sciences, Volume 6, Issue 4, October 2026.
ABSTRACT Purple elephant grass (Cenchrus purpureus (Schumach.) Morrone) is a valuable forage crop with potential bioactive properties that influence animal health. This study presents a comprehensive metabolomic characterization of two purple elephant grass genotypes (T441 and T515) using high‐resolution mass spectrometry (HRMS), molecular networking ...
Salva Asghar   +13 more
wiley   +1 more source

Centering, scaling, and transformations: improving the biological information content of metabolomics data

open access: yesBMC Genomics, 2006
Background Extracting relevant biological information from large data sets is a major challenge in functional genomics research. Different aspects of the data hamper their biological interpretation.
Smilde Age K   +4 more
doaj   +1 more source

ML-Based Autoscaling for Elastic Cloud Applications: Taxonomy, Frameworks, and Evaluation

open access: yesMathematical and Computational Applications
Elastic cloud systems are increasingly employing machine learning (ML) to automate resource scaling in response to variable workloads and stringent service-level objectives. However, current ML-based autoscalers are fragmented across different platforms,
Vishwanath Srikanth Machiraju   +2 more
doaj   +1 more source

Trust your local scaler: a continuous, decentralized approach to autoscaling

open access: yes
Autoscaling is a critical component of modern cloud computing environments, improving flexibility, efficiency, and cost-effectiveness. Current approaches use centralized autoscalers that make decisions based on averaged monitoring data of managed service
Lange, Stanislav   +5 more
core   +1 more source

PVA: The Persistent Volume Autoscaler for Stateful Applications in Kubernetes

open access: yesIEEE Access
With the evolution of container technology, there has been increasing interest in the operation of stateful applications in cloud environments. Kubernetes supports the management and scaling of stateful applications using features, such as StatefulSets ...
Ji-Hyun Na   +6 more
doaj   +1 more source

Implementasi Failover Dan Autoscaling Kontainer Web Server Nginx Pada Docker Menggunakan Kubernetes [PDF]

open access: yes, 2018
Web server merupakan salah satu komponen penting didalam proses hosting sebuah website. Web server yang baik harus mampu melayanai request dari pengguna selama 24 jam 7 hari dimana jika web server mati maka layanan website akan berhenti.
Sumbogo, Yosua Tito
core  

Wide area network autoscaling for cloud applications [PDF]

open access: yes, 2021
Modern cloud orchestrators like Kubernetes provide a versatile and robust way to host applications at scale. One of their key features is autoscaling, that automatically adjusts cloud resources (compute, memory, storage) in order to dynamically adapt to ...
Serracanta Pujol, Berta
core  

Addressing Technical Challenges in Large Language Model-Driven Educational Software System

open access: yesIEEE Access
The integration of large language models (LLMs) into educational systems poses significant challenges across several key attributes, including integration, explainability, testability, and scalability.
Nacha Chondamrongkul   +2 more
doaj   +1 more source

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