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Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0914-0
Abstract: A decentralized optimization policy for service placement in fog computing is presented. The optimization is addressed to place most popular services as closer to the users as possible. The experimental validation is done in the…
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Keywords:
optimization;
service placement;
fog computing;
policy ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3110913
Abstract: The growth of fifth-generation (5G) and edge computing has enabled the emergence of Internet of Vehicles (IoV). It supports different types of services with different resource and service requirements. However, limited resources at the edge,…
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Keywords:
service placement;
internet vehicles;
deep reinforcement;
edge ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3125957
Abstract: There have been many studies focusing on edge server deployment and service placement in mobile-edge computing (MEC), respectively, but rare works took both of them into consideration. However, edge server deployment and service placement are…
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Keywords:
edge server;
service;
edge;
service placement ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3249830
Abstract: Achieving network resilience in terms of attack tolerance and service availability is critically important for Internet of Vehicles (IoV) networks where vehicles require assistance in sensitive and safety-critical applications like driving. It is particularly challenging…
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Keywords:
iov networks;
service;
availability;
attack resilient ... See more keywords
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Published in 2023 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3228815
Abstract: This paper studies the artificial intelligent (AI) task deployment problem of a multi-access edge intelligent system in a 6G network, in which the cloud server broadcasts the AI program to the edge computing nodes. In…
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Keywords:
problem;
access edge;
multi access;
service placement ... See more keywords
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Published in 2023 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2022.3201388
Abstract: Existing Network Function Virtualization (NFV) service placements that reuse already deployed network functions either reuse an entire Service Function Chain (SFC) or only individual network functions while ignoring the chain configuration cost for configuring the…
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Keywords:
network functions;
network;
cost;
nfv service ... See more keywords
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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2021.3119948
Abstract: In the multi-access edge computing environment, app vendors deploy their services and applications at the network edges, and edge users offload their computation tasks to edge servers. We study the user-perceived delay-aware service placement and…
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Keywords:
service placement;
user allocation;
user perceived;
perceived delay ... See more keywords
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Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3194543
Abstract: Mobile edge computing is popular for providing services with low latency and high privacy. It becomes more powerful by leveraging the widely deployed Small cell Base Stations (SBS) with zooming cells for energy-efficient service placement.…
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Keywords:
cell;
placement;
service;
service placement ... See more keywords
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Published in 2020 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2020.3003459
Abstract: Mobile edge computing (MEC) is emerging to support delay-sensitive 5G applications at the edge of mobile networks. When a user moves erratically among multiple MEC nodes, the challenge of how to dynamically migrate its service…
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Keywords:
mobile edge;
predictive service;
service placement;
service ... See more keywords
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Published in 2023 at "China Communications"
DOI: 10.23919/jcc.2023.03.015
Abstract: Vehicular Edge Computing (VEC) brings the computational resources in close proximity to the service requestors and thus supports explosive computing demands from smart vehicles. However, the limited computing capability of VEC cannot simultaneously respond to…
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Keywords:
vehicular edge;
service;
edge computing;
service placement ... See more keywords