Downloads provided by UsageCounts
<p>Network slicing is a crucial enabler to support the composition and deployment of virtual network infrastructures required by the dynamic behavior of networks like 5G/6G mobile networks, IoT-aware networks, e-health systems, and industry verticals like the internet of vehicles (IoV) and industry 4.0. The communication slices and their allocated communication resources are essential in slicing architectures for resource orchestration and allocation, virtual network function (VNF) deployment, and slice operation functionalities. The communication slices provide the communications capabilities required to support slice operation, SLA guarantees, and QoS/ QoE application requirements. Therefore, this contribution proposes a networking slicing conceptual model to formulate the optimization problem related to the sharing of communication resources among communication slices. First, we present a conceptual model of network slicing, we then formulate analytically some aspects of the model and the optimization problem to address. Next, we proposed to use a SARSA agent to solve the problem and implement a proof of concept prototype. Finally, we present the obtained results and discuss them.</p>
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], I.2, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Communication Slice, Computer Science - Artificial Intelligence, C.2; F.1.1; I.2, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Resource Allocation, Computer Science - Networking and Internet Architecture, Machine Learning, Artificial Intelligence (cs.AI), Network Slicing, SARSA, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, C.2, Conceptual and Analytical Model, F.1.1
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], I.2, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Communication Slice, Computer Science - Artificial Intelligence, C.2; F.1.1; I.2, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Resource Allocation, Computer Science - Networking and Internet Architecture, Machine Learning, Artificial Intelligence (cs.AI), Network Slicing, SARSA, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, C.2, Conceptual and Analytical Model, F.1.1
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 20 | |
| downloads | 17 |

Views provided by UsageCounts
Downloads provided by UsageCounts