Dependency-Aware Parallel Offloading and Computation in MEC-Enabled Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3142419
Abstract: This letter proposes an effective dependency-aware subtask offloading and computation scheme in mobile edge computing (MEC) enabled networks, where we construct sequential execution windows of the MEC server by incorporating the hybrid dependencies among subtasks… read more here.
Keywords: enabled networks; dependency aware; offloading computation; mec enabled ... See more keywords
DeTTO: Dependency-Aware Trustworthy Task Offloading in Vehicular IoT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3199113
Abstract: In this paper, we investigate the dependency-aware trustworthy task offloading problem (DeTTO), especially in an IoT-enabled vehicular network, where a large computation-intensive task offloaded from a vehicle is fragmented into multiple subtasks and then offloaded… read more here.
Keywords: trustworthy task; task; aware trustworthy; task offloading ... See more keywords
Layer Dependency-Aware Learning Scheduling Algorithms for Containers in Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2021.3139995
Abstract: Due to the features of lightweight and easy deployment, the use of containers has emerged as a promising approach for Mobile Edge Computing (MEC). Before running the container, an image composed of several layers must… read more here.
Keywords: time; mobile edge; dependency; layer ... See more keywords
MPDA: A Massively Parallel Learning and Dependency-Aware Scheduling Algorithm for Data Processing Clusters
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2025.3592427
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning (DRL) based job scheduling mechanisms are facing challenges such as slow… read more here.
Keywords: parallel learning; mpda massively; massively parallel; dependency aware ... See more keywords
Dependency-Aware Service Migration for Backhaul-Free Vehicular Edge Computing Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2023.3310520
Abstract: Vehicular edge computing (VEC) is a promising paradigm to improve vehicular services through offloading complex computation tasks to the edge servers. However, the high mobility of vehicles requires frequent service migration among edge servers to… read more here.
Keywords: vehicular edge; migration; edge computing; service migration ... See more keywords
Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-2924-0
Abstract: BackgroundOntology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the appearance of abdominal vein varices is four… read more here.
Keywords: ontology; aware bayes; symptom dependency; dependency aware ... See more keywords