SD-SRF: An intelligent service deployment scheme for serverless-operated cloud-edge computing...

A trust and privacy-preserving intelligent big data collection scheme in mobile edge-cloud crowdsourcing

Z Sun, A Liu, NN Xiong, Q He, S Zhang - Future Generation Computer …, 2024 - Elsevier
As one of important Edge-Cloud solutions, mobile crowd sensing (MCS) platform resides in
the cloud, and recruits massive workers in the edge network to sense data, so big data can …
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Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning

X Pei, P Sun, Y Hu, D Li, L Tian, Z Li - Future Generation Computer Systems, 2024 - Elsevier
Collaborative cloud–edge computing has been systematically developed to balance the
efficiency and cost of computing tasks for many emerging technologies. To improve the …
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An efficient scheduling scheme for intelligent driving tasks in a novel vehicle-edge architecture considering mobility and load balancing

N Wang, S Pang, X Ji, H Gui, X He - Future Generation Computer Systems, 2024 - Elsevier
With the continuous popularization and evolution of 5G and 6G, mobile edge computing has
achieved rapid development. This study explores the New Generation Mobile Edge …
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Selecting workers like expert for crowdsourcing by integration evaluation of individual and collaborative abilities

Y Han, M Zhao, N Shan, A Liu, T Wang, H Song… - Expert Systems with …, 2024 - Elsevier
Team-based worker selection has been extensively studied for Mobile Crowdsourcing
(MCS), in which a set of workers are recruited to form a team to complete complex tasks …
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Location and Bid Privacy Preserving based Qualityaware Worker Recruitment Scheme in MCS

W Shi, Q Deng, Z Li, S Long, H Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Mobile crowd sensing (MCS) has become a prevalent large-scale and low-cost data
collection paradigm by employing workers, and the location and bid privacy of both task and …
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