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08/15/2023
A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes
As Exascale computing becomes a reality, the energy needs of compute nod...
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02/17/2023
DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning
The Distributed Messaging Systems (DMSs) used in IoT systems require tim...
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07/14/2022
Software-defined Dynamic 5G Network Slice Management for Industrial Internet of Things
This paper addresses the challenges of delivering fine-grained Quality o...
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06/28/2022
Generative Anomaly Detection for Time Series Datasets
Traffic congestion anomaly detection is of paramount importance in intel...
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08/19/2021
On the Future of Cloud Engineering
Ever since the commercial offerings of the Cloud started appearing in 20...
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04/13/2020
Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge
Deep Learning (DL) model-based AI services are increasingly offered in a...
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04/11/2019
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
Services hosted in multi-tenant cloud platforms often encounter performa...
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04/03/2019
CloudCAMP: Automating Cloud Services Deployment and Management
Users of cloud platforms often must expend significant manual efforts in...
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04/03/2019
CloudCAMP: Automating Cloud Services Deployment & Management
Users of cloud platforms often must expend significant manual efforts in...
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04/03/2019
Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks
With the proliferation of machine learning (ML) libraries and frameworks...
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04/02/2019
BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services
Pre-trained deep learning models are increasingly being used to offer a ...
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12/22/2017
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design
When processing large medical imaging studies, adopting high performance...
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11/14/2017