Results 91 to 100 of about 181,670 (124)

A Survey on Recent Trends and Open Issues in Energy Efficiency of 5G. [PDF]

Sensors (Basel), 2019
Usama M, Erol-Kantarci M.
europepmc   +1 more source

Internet of things enabled deep learning monitoring system for realtime performance metrics and athlete feedback in college sports. [PDF]

Sci Rep
Hu Y, Li Y, Cui B, Su H, Zhu P.
europepmc   +1 more source

A digital twin model for grain enterprise financial shared service centers based on distributed deep learning and neural symbolic reasoning. [PDF]

Sci Rep
Wei Y.
europepmc   +1 more source

A zero-shot LLM framework for multimodal grievance classification, urgency scoring, and abuse detection in civic feedback systems. [PDF]

Sci Rep
Rajkumar SC, Yuvasini D, Selvarajan S, Sivakumar NR.   +3 more
europepmc   +1 more source

Adaptive fault tolerance mechanisms for ensuring high availability of digital twins in distributed edge computing systems. [PDF]

Sci Rep
Sahu D, Nidhi, Prakash S, Yang T, Rathore RS, Wang L, Sharma U, Alsolbi I.   +7 more
europepmc   +1 more source

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

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, ByungKwon Choi, 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 Nastic, Philipp Raith
exaly   +3 more sources