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QoE-aware distributed cloud-based live streaming of multisourced multiview videos

Bilal K.; Erbad A.; Hefeeda M. ( Academic Press , 2018 , Article)

Video streaming is one of the most prevailing and bandwidth consuming Internet applications today. Advancements in technology and prevalence of video capturing devices result in massive multi-sourced (aka crowdsourced) ...

QoE-Aware Resource Allocation For Crowdsourced Live Streaming: A Machine Learning Approach

Haouari, Fatima (2019 , Master Thesis)

In the last decade, empowered by the technological advancements of mobile devices and the revolution of wireless mobile network access, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a ...

QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach

Haouari F.; Baccour E.; Erbad A.; Mohamed A.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)

Driven by the tremendous technological advancement of personal devices and the prevalence of wireless mobile network accesses, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a better viewers ...

QoE-oriented resource efficiency for 5G two-tier cellular networks: A femtocaching framework

Vo, Nguyen Son; Duong, Trung Q.; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)

Video streaming applications and services (VASs) consume an enormous amount of scarce resources in mobile devices and cellular wireless networks due to the demand for high data rates of video streaming. The limited resource ...

QoS dependency modeling for composite systems

Hashmi K.; Malik Z.; Erradi A.; Rezgui A. ( Institute of Electrical and Electronics Engineers , 2018 , Article)

Software as a service is a well accepted software deployment and distribution model that has grown exponentially in the last few years. One of the biggest benefits of SaaS is the automated composition of different services ...

QoS optimization for cloud service composition based on economic model

Kholidy, Hisham A.; Hassan, Hala; Sarhan, Amany M.; Erradi, Abdelkarim; Abdelwahed, Sherif ( Springer Verlag , 2015 , Conference Paper)

Cloud service composition is usually long term based and economically driven. Services in cloud computing can be categorized into two groups: Application services and Computing Services. Compositions in the application ...

QoS provision for vehicle big data by parallel transmission based on heterogeneous network characteristics prediction

Qiao, Wenxuan; Dong, Ping; Du, Xiaojiang; Zhang, Yuyang; Zhang, Hongke; ... more authors ... less authors ( Academic Press Inc. , 2022 , Article)

Multipath parallel transmission has become an important research direction to improve big data transmission efficiency of connected vehicles. However, due to the heterogeneity and time-varying characteristics of parallel ...

QoS-Aware Reliable Traffic Prediction Model under Wireless Vehicular Networks

Zhang, Qin; Guo, Zhiwei; Yu, Keping; Al-Dulaimi, Anwer; Wei, Wei; ... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)

With the continuous progress of communication quality, the wireless vehicular networks (WVN) will surely be-come an inevitable part of future smart cities. Inside WVN where context is complicated and stochastic, quality ...

QR2: A third-party query reranking service over web databases

Durairaj Gunasekaran Y.; Asudeh A.; Hasani S.; Zhang N.; Jaoua A.; ... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)

The ranked retrieval model has rapidly become the de-facto way for search query processing in web databases. Despite the extensive efforts on designing better ranking mechanisms, in practice, many such databases fail to ...

QRS Complexes Classification Using Dictionary Learning and Pietra Index

Baali H.; Djelouat H.; Amira A.; Bensaali F.; Zhai X. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)

In this study, an algorithm for arrhythmia classification that conforms to the recommended practice by the Association for the Advancement of Medical Instrumentation (AAMI) is presented. Our approach efficiently exploits ...