Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309344360> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W4309344360 abstract "Cloud-edge hybrid systems can support delay-sensitive applications of industrial Internet of Things. Edge nodes (ENs) as service providers, provide users computing/network services in a pay-as-you-go manner, and they also suffer from the high cost brought by providing computing resources. Thus, the problem of profit maximization is highly important to ENs. However, with the development of 5G network technologies, a large number of mobile devices (MDs) are connected to ENs, making the above-mentioned problem a high-dimensional challenge, which is highly difficult to solve. This work formulates a joint optimization problem of task offloading, task partitioning, and associations of large-scale users to ENs to maximize the profit of ENs. This work focuses on applications that can be split into multiple subtasks, each of which can be completed in MDs, ENs and a cloud data center. Specifically, a mixed integer nonlinear program is formulated to maximize ENs’ profit. Then, a novel hybrid algorithm named Genetic Simulated-annealing-based Particle swarm optimizer with a Stacked Autoencoder (GSPSA) is designed to solve it. Real-life data-based experimental results demonstrate that compared with other peer algorithms, GSPSA increases the profit of ENs while strictly meeting latency needs of users’ tasks. The dimension of the problem that can be solved is increased by more than 50% with GSPSA." @default.
- W4309344360 created "2022-11-26" @default.
- W4309344360 creator A5054118540 @default.
- W4309344360 creator A5057935426 @default.
- W4309344360 creator A5070546858 @default.
- W4309344360 date "2022-10-09" @default.
- W4309344360 modified "2023-09-23" @default.
- W4309344360 title "Evolutionary Computational Offloading with Autoencoder in Large-scale Edge Computing" @default.
- W4309344360 cites W2952627098 @default.
- W4309344360 cites W2964015972 @default.
- W4309344360 cites W2979096292 @default.
- W4309344360 cites W2983557232 @default.
- W4309344360 cites W2999225051 @default.
- W4309344360 cites W3000194064 @default.
- W4309344360 cites W3003427453 @default.
- W4309344360 cites W3016765057 @default.
- W4309344360 cites W3024547383 @default.
- W4309344360 cites W3025279013 @default.
- W4309344360 cites W3042732884 @default.
- W4309344360 cites W3112540789 @default.
- W4309344360 cites W3128405110 @default.
- W4309344360 cites W3130425349 @default.
- W4309344360 cites W3163739719 @default.
- W4309344360 cites W3175044018 @default.
- W4309344360 cites W3209697490 @default.
- W4309344360 cites W4205266128 @default.
- W4309344360 cites W4205819861 @default.
- W4309344360 doi "https://doi.org/10.1109/smc53654.2022.9945219" @default.
- W4309344360 hasPublicationYear "2022" @default.
- W4309344360 type Work @default.
- W4309344360 citedByCount "1" @default.
- W4309344360 countsByYear W43093443602023 @default.
- W4309344360 crossrefType "proceedings-article" @default.
- W4309344360 hasAuthorship W4309344360A5054118540 @default.
- W4309344360 hasAuthorship W4309344360A5057935426 @default.
- W4309344360 hasAuthorship W4309344360A5070546858 @default.
- W4309344360 hasConcept C101738243 @default.
- W4309344360 hasConcept C111919701 @default.
- W4309344360 hasConcept C11413529 @default.
- W4309344360 hasConcept C120314980 @default.
- W4309344360 hasConcept C126255220 @default.
- W4309344360 hasConcept C137836250 @default.
- W4309344360 hasConcept C154945302 @default.
- W4309344360 hasConcept C162324750 @default.
- W4309344360 hasConcept C175444787 @default.
- W4309344360 hasConcept C181622380 @default.
- W4309344360 hasConcept C2776061582 @default.
- W4309344360 hasConcept C2777780509 @default.
- W4309344360 hasConcept C33923547 @default.
- W4309344360 hasConcept C41008148 @default.
- W4309344360 hasConcept C48044578 @default.
- W4309344360 hasConcept C50644808 @default.
- W4309344360 hasConcept C77088390 @default.
- W4309344360 hasConcept C79974875 @default.
- W4309344360 hasConceptScore W4309344360C101738243 @default.
- W4309344360 hasConceptScore W4309344360C111919701 @default.
- W4309344360 hasConceptScore W4309344360C11413529 @default.
- W4309344360 hasConceptScore W4309344360C120314980 @default.
- W4309344360 hasConceptScore W4309344360C126255220 @default.
- W4309344360 hasConceptScore W4309344360C137836250 @default.
- W4309344360 hasConceptScore W4309344360C154945302 @default.
- W4309344360 hasConceptScore W4309344360C162324750 @default.
- W4309344360 hasConceptScore W4309344360C175444787 @default.
- W4309344360 hasConceptScore W4309344360C181622380 @default.
- W4309344360 hasConceptScore W4309344360C2776061582 @default.
- W4309344360 hasConceptScore W4309344360C2777780509 @default.
- W4309344360 hasConceptScore W4309344360C33923547 @default.
- W4309344360 hasConceptScore W4309344360C41008148 @default.
- W4309344360 hasConceptScore W4309344360C48044578 @default.
- W4309344360 hasConceptScore W4309344360C50644808 @default.
- W4309344360 hasConceptScore W4309344360C77088390 @default.
- W4309344360 hasConceptScore W4309344360C79974875 @default.
- W4309344360 hasFunder F4320321001 @default.
- W4309344360 hasFunder F4320335787 @default.
- W4309344360 hasLocation W43093443601 @default.
- W4309344360 hasOpenAccess W4309344360 @default.
- W4309344360 hasPrimaryLocation W43093443601 @default.
- W4309344360 hasRelatedWork W1516830477 @default.
- W4309344360 hasRelatedWork W1596010778 @default.
- W4309344360 hasRelatedWork W1596201972 @default.
- W4309344360 hasRelatedWork W1788737569 @default.
- W4309344360 hasRelatedWork W1967954938 @default.
- W4309344360 hasRelatedWork W1986253068 @default.
- W4309344360 hasRelatedWork W2240063513 @default.
- W4309344360 hasRelatedWork W2364921833 @default.
- W4309344360 hasRelatedWork W2385146268 @default.
- W4309344360 hasRelatedWork W3211217922 @default.
- W4309344360 isParatext "false" @default.
- W4309344360 isRetracted "false" @default.
- W4309344360 workType "article" @default.