Results 121 to 130 of about 2,729 (217)

HPAQT: Adaptive and Interpretable High-level SLO-aware Autoscaling with Reinforcement Learning

open access: yes
Modern distributed applications rely on virtualized infrastructures to elastically meet their performance requirements. In this setting, autoscaling enables elastic adaptations at runtime.
Furutanpey, Alireza; orcid:   +3 more
core   +1 more source

A Fully Decentralized Autoscaling Algorithm for Stream Processing Applications

open access: yes, 2019
International audienceStream Processing deals with the efficient, real-time processing of continuous streams of data. Stream Processing engines ease the development and deployment of such applications which are commonly pipelines of operators to be ...
Belkhiria, Mehdi, Tedeschi, Cédric
core  

Advancements in Artificial Intelligence-Based Diagnostic Tools Used to Detect Fungal Infections: A Systematic Review. [PDF]

open access: yesDiagnostics (Basel)
Albuqami NM   +6 more
europepmc   +1 more source

Performance and viability analysis of deploying cloud-native 5G autoscaling platforms

open access: yes
5G mobile network technology is undergoing rapid deployment. Autoscaling in 5G refers to the dynamic allocation and removal of network functions based on real-time service demand.
Ren, Yi   +4 more
core  

Self-adaptive trade-off decision making for autoscaling cloud-based services

open access: yes, 2017
Elasticity in the cloud is often achieved by on-demand autoscaling. In such context, the goal is to optimize the Quality of Service (QoS) and cost objectives for the cloud-based services. However, the difficulty lies in the facts that these objectives, e.
Rami Bahsoon (7401395)   +1 more
core  

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