Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312881010> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W4312881010 abstract "Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are two emerging paradigms that enable the feasible and scalable deployment of Virtual Network Functions (VNFs) in commercial-off-the-shelf (COTS) devices, which deliver a range of network services with reduced cost. The deployment of these services requires efficient resource allocation that fulfills the requirements in terms of Quality of Service (QoS) and Service-Level Agreement (SLA) while considering the constraints of the underlying infrastructure, such as maximum latency tolerance and affinity policies. To address this issue, we study the resource allocation problem in SDN/NFV-enabled networks, which involves numerous optimization variables resulting from the multidimensional space of system component parameters and states. Using deep reinforcement learning, we propose a policy gradient-based algorithm with an invalid action masking approach to efficiently tackle the resources allocation problem while handling system constraints in industrial settings. The simulation results unequivocally show the effectiveness and performance of the proposed learning approach for this category of problems." @default.
- W4312881010 created "2023-01-05" @default.
- W4312881010 creator A5026325050 @default.
- W4312881010 creator A5037784692 @default.
- W4312881010 creator A5038196096 @default.
- W4312881010 date "2022-11-01" @default.
- W4312881010 modified "2023-10-18" @default.
- W4312881010 title "Optimal Resource Allocation in SDN/NFV-Enabled Networks via Deep Reinforcement Learning" @default.
- W4312881010 cites W17916091 @default.
- W4312881010 cites W2043255416 @default.
- W4312881010 cites W2210790443 @default.
- W4312881010 cites W2260783129 @default.
- W4312881010 cites W2343204836 @default.
- W4312881010 cites W2374516805 @default.
- W4312881010 cites W2462968273 @default.
- W4312881010 cites W2481063713 @default.
- W4312881010 cites W2559018133 @default.
- W4312881010 cites W2608345907 @default.
- W4312881010 cites W2775255619 @default.
- W4312881010 cites W2888317899 @default.
- W4312881010 cites W2949913798 @default.
- W4312881010 cites W2962806975 @default.
- W4312881010 cites W2968312042 @default.
- W4312881010 cites W2969848298 @default.
- W4312881010 cites W2970119659 @default.
- W4312881010 cites W2995673860 @default.
- W4312881010 cites W3016314826 @default.
- W4312881010 cites W3037653908 @default.
- W4312881010 cites W3089022684 @default.
- W4312881010 cites W3105438996 @default.
- W4312881010 cites W3134701570 @default.
- W4312881010 cites W3156374133 @default.
- W4312881010 cites W3206404666 @default.
- W4312881010 cites W4229658977 @default.
- W4312881010 doi "https://doi.org/10.1109/comnet55492.2022.9998475" @default.
- W4312881010 hasPublicationYear "2022" @default.
- W4312881010 type Work @default.
- W4312881010 citedByCount "1" @default.
- W4312881010 countsByYear W43128810102023 @default.
- W4312881010 crossrefType "proceedings-article" @default.
- W4312881010 hasAuthorship W4312881010A5026325050 @default.
- W4312881010 hasAuthorship W4312881010A5037784692 @default.
- W4312881010 hasAuthorship W4312881010A5038196096 @default.
- W4312881010 hasConcept C105339364 @default.
- W4312881010 hasConcept C115903868 @default.
- W4312881010 hasConcept C120314980 @default.
- W4312881010 hasConcept C154945302 @default.
- W4312881010 hasConcept C2776874963 @default.
- W4312881010 hasConcept C2780609101 @default.
- W4312881010 hasConcept C29202148 @default.
- W4312881010 hasConcept C31258907 @default.
- W4312881010 hasConcept C41008148 @default.
- W4312881010 hasConcept C48044578 @default.
- W4312881010 hasConcept C5119721 @default.
- W4312881010 hasConcept C77088390 @default.
- W4312881010 hasConcept C77270119 @default.
- W4312881010 hasConcept C97541855 @default.
- W4312881010 hasConceptScore W4312881010C105339364 @default.
- W4312881010 hasConceptScore W4312881010C115903868 @default.
- W4312881010 hasConceptScore W4312881010C120314980 @default.
- W4312881010 hasConceptScore W4312881010C154945302 @default.
- W4312881010 hasConceptScore W4312881010C2776874963 @default.
- W4312881010 hasConceptScore W4312881010C2780609101 @default.
- W4312881010 hasConceptScore W4312881010C29202148 @default.
- W4312881010 hasConceptScore W4312881010C31258907 @default.
- W4312881010 hasConceptScore W4312881010C41008148 @default.
- W4312881010 hasConceptScore W4312881010C48044578 @default.
- W4312881010 hasConceptScore W4312881010C5119721 @default.
- W4312881010 hasConceptScore W4312881010C77088390 @default.
- W4312881010 hasConceptScore W4312881010C77270119 @default.
- W4312881010 hasConceptScore W4312881010C97541855 @default.
- W4312881010 hasLocation W43128810101 @default.
- W4312881010 hasOpenAccess W4312881010 @default.
- W4312881010 hasPrimaryLocation W43128810101 @default.
- W4312881010 hasRelatedWork W1504006543 @default.
- W4312881010 hasRelatedWork W1531496263 @default.
- W4312881010 hasRelatedWork W1568263432 @default.
- W4312881010 hasRelatedWork W1759630569 @default.
- W4312881010 hasRelatedWork W2122443272 @default.
- W4312881010 hasRelatedWork W2243559354 @default.
- W4312881010 hasRelatedWork W2394465510 @default.
- W4312881010 hasRelatedWork W2466105198 @default.
- W4312881010 hasRelatedWork W2891925184 @default.
- W4312881010 hasRelatedWork W2927834566 @default.
- W4312881010 isParatext "false" @default.
- W4312881010 isRetracted "false" @default.
- W4312881010 workType "article" @default.