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Stochastic and exact methods for service mapping in virtualized network infrastructures
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/nem.1939openalex-snapshot
Prediction‐based survivable virtual network mapping against disaster failures
inferredcites →https://doi.org/10.1002/nem.1958openalex-snapshot
A tree-based algorithm for virtual infrastructure allocation with joint virtual machine and network requirements
inferredcites →https://doi.org/10.1007/978-3-642-21527-8_14openalex-snapshot
Introducing the Virtual Network Mapping Problem with Delay, Routing and Location Constraints
inferredcites →https://doi.org/10.1080/00207170902774233openalex-snapshot
A policy approximation method for the UMTS connection admission control problem modelled as an MDP
inferredcites →https://doi.org/10.1080/00207179.2016.1185802openalex-snapshot
An approximate dynamic programming approach to resource management in multi-cloud scenarios
inferredcites →https://doi.org/10.1080/1206212x.2005.11441778openalex-snapshot
Network Topology Analysis and Internet Modelling withNEM
inferredcites →https://doi.org/10.1109/cloudcom.2013.24openalex-snapshot
A Resource Allocation Algorithm of Multi-cloud Resources Based on Markov Decision Process
inferredcites →https://doi.org/10.1109/cloudnet.2014.6968961openalex-snapshot
Specifying and placing chains of virtual network functions
inferredcites →https://doi.org/10.1109/comsnets.2015.7098686openalex-snapshot
MIDAS: Middlebox discovery and selection for on-path flow processing
inferredcites →https://doi.org/10.1109/comst.2015.2477041openalex-snapshot
Network Function Virtualization: State-of-the-Art and Research Challenges
inferredcites →https://doi.org/10.1109/icc.2016.7511145openalex-snapshot
Game theory based reliable virtual network mapping for cloud infrastructure
inferredcites →https://doi.org/10.1109/inm.2015.7140470openalex-snapshot
Virtual network functions orchestration in enterprise WLANs
inferredcites →https://doi.org/10.1109/iraniancee.2013.6599723openalex-snapshot
An optimized virtual network mapping using PSO in cloud computing
inferredcites →https://doi.org/10.1109/mnet.2016.7474348openalex-snapshot
Joint topology design and mapping of service function chains for efficient, scalable, and reliable network functions virtualization
inferredcites →https://doi.org/10.1109/netsoft.2015.7116126openalex-snapshot
Network service chaining with efficient network function mapping based on service decompositions
inferredcites →https://doi.org/10.1109/netsoft.2015.7116145openalex-snapshot
Policy-based orchestration of NFV services in Software-Defined Networks
inferredcites →https://doi.org/10.1109/netsoft.2015.7116178openalex-snapshot
Flexible support of VNF placement functions in OpenStack
inferredcites →https://doi.org/10.1109/netsoft.2016.7502419openalex-snapshot
TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment
inferredcites →https://doi.org/10.1109/noms.2014.6838244openalex-snapshot
A novel approach to virtual networks embedding for SDN management and orchestration
inferredcites →https://doi.org/10.1109/noms.2016.7502855openalex-snapshot
A novel virtual network embedding scheme based on Gomory-Hu tree within cloud's backbone
inferredcites →https://doi.org/10.1109/surv.2013.013013.00155openalex-snapshot
Virtual Network Embedding: A Survey
inferredcites →https://doi.org/10.1109/tnet.2014.2375826openalex-snapshot
On Distributed Virtual Network Embedding With Guarantees
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1145/2018436.2018465openalex-snapshot
Towards predictable datacenter networks
inferredcites →https://doi.org/10.2316/journal.202.2005.4.202-1540openalex-snapshot
Network Topology Analysis and Internet Modelling with Nem
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Secure Machine Learning Scenario from Big Data in Cloud Computing via Internet of Things Network
inferred← citeshttps://doi.org/10.1007/s11633-022-1326-3openalex-snapshot
Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection
inferred← citeshttps://doi.org/10.1016/j.comcom.2018.10.008openalex-snapshot
VNF placement for service chaining in a distributed cloud environment with multiple stakeholders
inferred← citeshttps://doi.org/10.1088/1742-6596/1881/4/042056openalex-snapshot
RETRACTED: Analysis of the Fine Management Strategy for the Cultivation of Vocational College Students’ Core Quality based on Big Data
inferred← citeshttps://doi.org/10.1088/1742-6596/2037/1/012054openalex-snapshot
Development of Computer Network Security Based on Cloud Computing
inferred← citeshttps://doi.org/10.1108/ijpcc-07-2022-0256openalex-snapshot
Cooperative optimization techniques in distributed MAC protocols – a survey
inferred← citeshttps://doi.org/10.1109/aiiot54504.2022.9817168openalex-snapshot
A Distributed Average Cost Reinforcement Learning approach for Power Control in Wireless 5G Networks
inferred← citeshttps://doi.org/10.1109/cloudnet53349.2021.9657114openalex-snapshot
Profit-aware placement of multi-flavoured VNF chains
inferred← citeshttps://doi.org/10.1109/lcsys.2018.2837881openalex-snapshot
Reduction of Discrete-Time Two-Channel Delayed Systems
inferred← citeshttps://doi.org/10.1109/med48518.2020.9183080openalex-snapshot
User-aware centralized resource allocation in heterogeneous networks
inferred← citeshttps://doi.org/10.1109/med51440.2021.9480246openalex-snapshot
Hierarchical RL for Load Balancing and QoS Management in Multi-Access Networks
inferred← citeshttps://doi.org/10.1109/med61351.2024.10566186openalex-snapshot
Deep Reinforcement Learning Control of Type-1 Diabetes with Cross-Patient Generalization
inferred← citeshttps://doi.org/10.1109/tnsm.2019.2918637openalex-snapshot
Virtual Functions Placement With Time Constraints in Fog Computing: A Matching Theory Perspective
inferred← citeshttps://doi.org/10.1109/wcncw48565.2020.9124723openalex-snapshot
Network Selection in 5G Networks Based on Markov Games and Friend-or-Foe Reinforcement Learning
inferred← citeshttps://doi.org/10.23919/ecc51009.2020.9143837openalex-snapshot
Traffic Steering and Network Selection in 5G Networks based on Reinforcement Learning
inferred← citeshttps://doi.org/10.3233/jhs-210665openalex-snapshot
Accurate mining of location data in the communication field based on big data
inferred← citeshttps://doi.org/10.3390/app11094135openalex-snapshot
Energy-Efficient Power Allocation and User Association in Heterogeneous Networks with Deep Reinforcement Learning
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