Matches in SemOpenAlex for { <https://semopenalex.org/work/W2989766752> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2989766752 abstract "Network virtualization allows multiple heterogeneous networks to be deployed on the same physical network. One of its main challenges is how to effectively allocate resources to the virtual network, which is known as the Virtual Network Embedding (VNE) problem. Due to the NP-hard characteristic of VNE, most of the existing approaches are based on the heuristic algorithms tended to converge to local optimal solutions. In this paper, we propose a VNE algorithm based on reinforcement learning (RL) methods. Firstly, the VNE problem is formulated as a combinatorial optimization problem. A pointer network including two Long Short-Term Memory modules is used to set up node mapping strategies. Then, an algorithm named active search based on policy gradient is designed to optimize the pointer network, and does not need the pre-training process and the search optimal policy for VN requests. The experimental results show that the proposed algorithm can improve the performance in average physical node utilization and long-term revenue to cost ratio." @default.
- W2989766752 created "2019-12-05" @default.
- W2989766752 creator A5011478460 @default.
- W2989766752 creator A5011507052 @default.
- W2989766752 creator A5043665482 @default.
- W2989766752 creator A5046078938 @default.
- W2989766752 creator A5068860731 @default.
- W2989766752 creator A5083868441 @default.
- W2989766752 date "2019-09-01" @default.
- W2989766752 modified "2023-10-16" @default.
- W2989766752 title "A Coordinated Two-Stages Virtual Network Embedding Algorithm Based on Reinforcement Learning" @default.
- W2989766752 cites W1978071186 @default.
- W2989766752 cites W2040672732 @default.
- W2989766752 cites W2045287414 @default.
- W2989766752 cites W2114298221 @default.
- W2989766752 cites W2125150972 @default.
- W2989766752 cites W2132238781 @default.
- W2989766752 cites W2147692735 @default.
- W2989766752 cites W2152415706 @default.
- W2989766752 cites W2517002956 @default.
- W2989766752 cites W2793337561 @default.
- W2989766752 cites W4238465620 @default.
- W2989766752 doi "https://doi.org/10.1109/cbd.2019.00018" @default.
- W2989766752 hasPublicationYear "2019" @default.
- W2989766752 type Work @default.
- W2989766752 sameAs 2989766752 @default.
- W2989766752 citedByCount "3" @default.
- W2989766752 countsByYear W29897667522020 @default.
- W2989766752 countsByYear W29897667522021 @default.
- W2989766752 countsByYear W29897667522022 @default.
- W2989766752 crossrefType "proceedings-article" @default.
- W2989766752 hasAuthorship W2989766752A5011478460 @default.
- W2989766752 hasAuthorship W2989766752A5011507052 @default.
- W2989766752 hasAuthorship W2989766752A5043665482 @default.
- W2989766752 hasAuthorship W2989766752A5046078938 @default.
- W2989766752 hasAuthorship W2989766752A5068860731 @default.
- W2989766752 hasAuthorship W2989766752A5083868441 @default.
- W2989766752 hasConcept C111919701 @default.
- W2989766752 hasConcept C11413529 @default.
- W2989766752 hasConcept C120314980 @default.
- W2989766752 hasConcept C127413603 @default.
- W2989766752 hasConcept C150202949 @default.
- W2989766752 hasConcept C154945302 @default.
- W2989766752 hasConcept C177264268 @default.
- W2989766752 hasConcept C199360897 @default.
- W2989766752 hasConcept C2776874963 @default.
- W2989766752 hasConcept C2779898492 @default.
- W2989766752 hasConcept C41008148 @default.
- W2989766752 hasConcept C513985346 @default.
- W2989766752 hasConcept C62611344 @default.
- W2989766752 hasConcept C66938386 @default.
- W2989766752 hasConcept C79974875 @default.
- W2989766752 hasConcept C97541855 @default.
- W2989766752 hasConceptScore W2989766752C111919701 @default.
- W2989766752 hasConceptScore W2989766752C11413529 @default.
- W2989766752 hasConceptScore W2989766752C120314980 @default.
- W2989766752 hasConceptScore W2989766752C127413603 @default.
- W2989766752 hasConceptScore W2989766752C150202949 @default.
- W2989766752 hasConceptScore W2989766752C154945302 @default.
- W2989766752 hasConceptScore W2989766752C177264268 @default.
- W2989766752 hasConceptScore W2989766752C199360897 @default.
- W2989766752 hasConceptScore W2989766752C2776874963 @default.
- W2989766752 hasConceptScore W2989766752C2779898492 @default.
- W2989766752 hasConceptScore W2989766752C41008148 @default.
- W2989766752 hasConceptScore W2989766752C513985346 @default.
- W2989766752 hasConceptScore W2989766752C62611344 @default.
- W2989766752 hasConceptScore W2989766752C66938386 @default.
- W2989766752 hasConceptScore W2989766752C79974875 @default.
- W2989766752 hasConceptScore W2989766752C97541855 @default.
- W2989766752 hasLocation W29897667521 @default.
- W2989766752 hasOpenAccess W2989766752 @default.
- W2989766752 hasPrimaryLocation W29897667521 @default.
- W2989766752 hasRelatedWork W1491476327 @default.
- W2989766752 hasRelatedWork W2044709933 @default.
- W2989766752 hasRelatedWork W2085452000 @default.
- W2989766752 hasRelatedWork W2128291817 @default.
- W2989766752 hasRelatedWork W2605877999 @default.
- W2989766752 hasRelatedWork W3003604480 @default.
- W2989766752 hasRelatedWork W3047378479 @default.
- W2989766752 hasRelatedWork W3112443690 @default.
- W2989766752 hasRelatedWork W4200095813 @default.
- W2989766752 hasRelatedWork W4385074118 @default.
- W2989766752 isParatext "false" @default.
- W2989766752 isRetracted "false" @default.
- W2989766752 magId "2989766752" @default.
- W2989766752 workType "article" @default.