Results 111 to 120 of about 6,213 (191)

Auto-scaling LLM-based multi-agent systems through dynamic integration of agents

Frontiers in Artificial Intelligence
IntroductionLarge Language Model-based Multi-Agent Systems (LLM-based MASs) represent a groundbreaking paradigm where diverse LLM-based agents collaborate, leveraging their unique capabilities to achieve shared objectives.
Ravindu Perera, Ravindu Perera, Anuradha Basnayake, Manjusri Wickramasinghe   +3 more
doaj   +1 more source

Predicting Failures of Autoscaling Distributed Applications

Proceedings of the ACM on Software Engineering
Predicting failures in production environments allows service providers to activate countermeasures that prevent harming the users of the applications. The most successful approaches predict failures from error states that the current approaches identify from anomalies in time series of fixed sets of KPI values collected at runtime.
Giovanni Denaro, Noura El Moussa, Rahim Heydarov, Francesco Lomio, Mauro Pezzè, Ketai Qiu   +5 more
openaire   +1 more source

Optimized Autoscaling of Cloud Native Applications

, 2021
Software containers are changing the way distributed applications are executedand managed on cloud computing resources. Autoscaling allows containerizedapplications and services to run resiliently with high availability without the demandof user intervention.
openaire   +1 more source

Cloud Node Auto-Scaling System Automation Based on Computing Workload Prediction

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Auto-scaling systems in cloud computing are important for handling application workload fluctuations. This research uses machine learning to predict resource requirements based on workload work patterns and design an automatic scaling system. The dataset
Tri Fidrian Arya, Reza Fuad Rachmad, Achmad Affandi   +2 more
doaj   +1 more source

Botanical Authentication Using One-Class Modeling. [PDF]

J AOAC Int, 2023
Harnly J.
europepmc   +1 more source

Toward a smarter cloud: self-aware autoscaling of cloud configurations and resources [PDF]

, 2015
Bahsoon, R, Chen, T
core   +1 more source

Distributed resource autoscaling in Kubernetes edge clusters

, 2022
Maximizing the performance of modern applications requires timely resource management of the virtualized resources. However, proactively deploying resources for meeting specific application requirements subject to a dynamic workload profile of incoming requests is extremely challenging.
Spatharakis, Dimitrios, Dimolitsas, Ioannis, Vlahakis, Eleftherios; id_orcid 0000-0002-7039-5314, Dechouniotis, Dimitrios, Athanasopoulos, Nikolaos, Papavassiliou, Symeon   +5 more
openaire   +1 more source

Exploring Environmental Element Monitoring Data Using Chemometric Techniques: A Practical Case Study from the Tremiti Islands (Italy). [PDF]

Molecules
Russo RE, Fattobene M, Zamponi S, Conti P, Herrero A, Berrettoni M.   +5 more
europepmc   +1 more source

A Handheld IoT Vis/NIR Spectroscopic System to Assess the Soluble Solids Content of Wine Grapes. [PDF]

Sensors (Basel)
Zhang X, Qin Z, Zhao R, Xie Z, Bai X.
europepmc   +1 more source

A Comparative Bioinformatic Analysis of Optic Nerve Axon Regeneration Lipidomes Using the <i>Xenopus laevis</i> as a Model System. [PDF]

Methods Protoc
Volante VS, Watson FL, Bhattacharya SK.
europepmc   +1 more source