Results 101 to 110 of about 168,797 (129)

Hemp cultivation opportunities for marginal lands development. [PDF]

PLoS One
Scalabrin E, Radaelli M, Capodaglio G, Pierobon M, Del Vecchio S, Buffa G.   +5 more
europepmc   +1 more source

Desain Web Menggunakan Dream Weaver dan Photoshop CD 1 & 2

, 2008
Proactive Multimedia
core  

ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge

IEEE Transactions on Parallel and Distributed Systems, 2023
Deploying microservice instances on the edge device close to end users can provide on-site processing thus reducing request response time. Each microservice has multiple instances that can process requests in parallel. To achieve high processing efficiency, the number of these instances is scaled according to the workload, which is also known as ...
Sheng Zhang, Qing Gu, Sanglu Lu
exaly   +5 more sources

pHPA: A Proactive Autoscaling Framework for Microservice Chain

5th Asia-Pacific Workshop on Networking (APNet 2021), 2021
Microservice is an architectural style that breaks down monolithic applications into smaller microservices and has been widely adopted by a variety of enterprises.
Dongsu Han, Chunghan Lee
exaly   +4 more sources

EdgeCloudForge: Simulation-Driven Synthetic Dataset Generation For Proactive Serverless Edge Function Autoscaling

2025 IEEE International Conference on Cloud Engineering (IC2E)
Serverless edge computing promises autonomous function management across the heterogeneous edge-cloud continuum. Specifically, autoscaling of functions increases resource efficiency by creating and destroying instances on demand.
Stefan Nastić, Philipp Raith
exaly   +3 more sources

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Proactive Autoscaling for Cloud-Native Applications using Machine Learning

GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020
Cloud computing and cloud-native applications have become standards for new developments in most organizations. Many companies are moving their workload toward microservices and profit from the cloud-native paradigm. However, there are still many challenges to overcome to optimize the Quality of Service using autoscaling and resource dimensioning ...
Nicolas Marie-Magdelaine, Toufik Ahmed
exaly   +3 more sources

OptScaler: A Hybrid Proactive-Reactive Framework for Robust Autoscaling in the Cloud. [PDF]

CoRR, 2023
Autoscaling is a vital mechanism in cloud computing that supports the autonomous adjustment of computing resources under dynamic workloads. A primary goal of autoscaling is to stabilize resource utilization at a desirable level, thus reconciling the need
Ding Zou, Wei Lu 0030, Zhibo Zhu, Xingyu Lu, Jun Zhou, Xiaojin Wang, Kangyu Liu, Haiqing Wang, Kefan Wang, Renen Sun   +9 more
core   +3 more sources

Proactive Resource Autoscaling Scheme Based on SCINet for High-Performance Cloud Computing

IEEE Transactions on Cloud Computing, 2023
Young-Sik Jeong, Jueun Jeon, Byeonghui Jeong   +2 more
exaly   +3 more sources

Reactive vs. Proactive Autoscaling in Kubernetes

Studies in Autonomic, Data-driven and Industrial Computing
Pradeepika Verma, Anshul Verma, Bablu Kumar   +2 more
exaly   +2 more sources

Predicting CPU usage for proactive autoscaling

Proceedings of the 1st Workshop on Machine Learning and Systems, 2021
Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application's run-time requirements, but only help the cloud infrastructure resource manager to map requested resources to physical resources.
Thomas Wang, Simone Ferlin, Marco Chiesa
openaire   +2 more sources