434 citations · 1k across the 11 of their papers we have counts for
11 papers
Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges
Latif U. Khan, Ehzaz Mustafa, Junaid Shuja +4
Emerging intelligent transportation applications, such as accident reporting, lane change assistance, collision avoidance, and infotainment, will be based on diverse requirements (…
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
Emna Baccour, Fatima Haouari, Aiman Erbad +4
Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu and Twitch are gaining more momentum recently. Allocating the limited resources in a cost…
Applying Machine Learning Techniques for Caching in Edge Networks: A Comprehensive Survey
Junaid Shuja, Kashif Bilal, Waleed Alasmary +2
Edge networking is a complex and dynamic computing paradigm that aims to push cloud resources closer to the end user improving responsiveness and reducing backhaul traffic. User mo…
FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations
Emna Baccour, Aiman Erbad, Kashif Bilal +3
With the advancement in personal smart devices and pervasive network connectivity, users are no longer passive content consumers, but also contributors in producing new contents. T…
Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks
Emna Baccour, Aiman Erbad, Amr Mohamed +2
Recently, the growing demand for rich multimedia content such as Video on Demand (VoD) has made the data transmission from content delivery networks (CDN) to end-users quite challe…
Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning
Jianguo Chen, Kenli Li, Kashif Bilal +3
Protein interactions constitute the fundamental building block of almost every life activity. Identifying protein communities from Protein-Protein Interaction (PPI) networks is ess…
A Parallel Patient Treatment Time Prediction Algorithm and its Applications in Hospital Queuing-Recommendation in a Big Data Environment
Jianguo Chen, Kenli Li, Zhuo Tang +2
Effective patient queue management to minimize patient wait delays and patient overcrowding is one of the major challenges faced by hospitals. Unnecessary and annoying waits for lo…
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments
Jianguo Chen, Kenli Li, Huigui Rong +3
In the era of big data, practical applications in various domains continually generate large-scale time-series data. Among them, some data show significant or potential periodicity…
A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing
Jianguo Chen, Kenli Li, Huigui Rong +3
It is crucial to provide compatible treatment schemes for a disease according to various symptoms at different stages. However, most classification methods might be ineffective in…
A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment
Jianguo Chen, Kenli Li, Zhuo Tang +4
With the emergence of the big data age, the issue of how to obtain valuable knowledge from a dataset efficiently and accurately has attracted increasingly attention from both acade…
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks
Jianguo Chen, Kenli Li, Kashif Bilal +3
Benefitting from large-scale training datasets and the complex training network, Convolutional Neural Networks (CNNs) are widely applied in various fields with high accuracy. Howev…