Network virtualization and resource description in software-defined wireless networks

Zhou, Qianru; Wang, Cheng-Xiang; McLaughlin, Stephen; Zhou, Xiaotian

doi:10.1109/mcom.2015.7321979

Cited by 31 publications

(8 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our study, we limited our exploration on wired Ethernet network technologies. Nonetheless, a number of standardization bodies have developed detailed ontologies of additional network technologies, like LTE [34] and sensor networks [35]. Existing production SDN technologies provide limited control below the data link layer.…”

Section: Discussionmentioning

confidence: 99%

ReasoNet: Inferring Network Policies Using Ontologies

Rotsos

Farshad

King

et al. 2018

2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft)

Self Cite

View full text Add to dashboard Cite

Abstract-Modern SDN control stacks consist of multiple abstraction and virtualization layers to enable flexibility in the development of new control features. Rich data modeling frameworks are essential when sharing information across control layers. Unfortunately, existing NOS data modeling capabilities are limited to simple type-checking and code templating. We present an exploration of a more extreme point on SDN data modeling: ReasoNet. Developers can use semantic web technologies to enrich their data models with reasoning rules and integrity/consistency constraints, and automate state inference across layers. We demonstrate the ability of ReasoNet to automate state verification and cross-layer debugging, through the implementation of two popular control applications, a learning switch and a QoS policy engine.

show abstract

Section: Discussionmentioning

confidence: 99%

ReasoNet: Inferring Network Policies Using Ontologies

Rotsos

Farshad

King

et al. 2018

2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft)

Self Cite

View full text Add to dashboard Cite

show abstract

“…The problem of describing services has already been identified in the literature (Sec III-C1) but without satisfactory resolution. A good approach to address this void is to develop domain-specific description languages that allow the expression of service characteristics, KPIs and network element capabilities and requirements in a comprehensive manner while retaining a simple and intuitive syntax (e.g., in the philosophy of [14] to be used in multi-vendor environments. A desirable feature would also be the capability to compose complex rules and expressions out of simpler ones, introducing abstraction layers in the expression of service requirements.…”

Section: End-to-end Slice Orchestration and Managementmentioning

confidence: 99%

Network Slicing in 5G: Survey and Challenges

et al. 2017

View full text Add to dashboard Cite

5G is envisioned to be a multi-service network supporting a wide range of verticals with a diverse set of performance and service requirements. Slicing a single physical network into multiple isolated logical networks has emerged as a key to realizing this vision. This article is meant to act as a survey, the first to the authors' knowledge, on this topic of prime interest. We begin by reviewing the state of the art on 5G network slicing and we present a framework for bringing together and discussing existing work in a holistic manner. Using this framework, we evaluate the maturity of current proposals and identify a number of open research questions.

show abstract

“…Result end-to-end throughput of stations which the SSS algorithm is applied. The stations shown in the figure are Sta 5,8,9,11,13,14,22,23,24,25,27. network is denoted in the x-axis, and the width of the dots denotes the scale of the semantic knowledge graph adopted by each network. As expected, the scale of knowledge base is proportional to the scale of the network.…”

Section: Overheadmentioning

confidence: 99%

SARA – A Semantic Access Point Resource Allocation Service for Heterogenous Wireless Networks

Zhou

Gray

Pezaros

et al. 2019

2019 Wireless Days (WD)

Self Cite

View full text Add to dashboard Cite

In this paper, we present SARA, a Semantic Access point Resource Allocation service for heterogenous wireless networks with various wireless access technologies existing together. By automatically reasoning on the knowledge base of the full system provided by a knowledge based autonomic network management system -SEANET, SARA selects the access point providing the best quality of service among the different access technologies. Based on an ontology assisted knowledge based system SEANET, SARA can also adapt the access point selection strategy according to customer defined rules automatically. Results of our evaluation based on emulated networks with hybrid access technologies and various scales show that SARA is able to improve the channel condition, in terms of throughput, evidently. Comparisons with current AP selection algorithms demonstrate that SARA outperforms the existing AP selection algorithms. The overhead in terms of time expense is reasonable and is shown to be faster than traditional access point selection approaches.

show abstract

Network virtualization and resource description in software-defined wireless networks

Cited by 31 publications

References 12 publications

ReasoNet: Inferring Network Policies Using Ontologies

ReasoNet: Inferring Network Policies Using Ontologies

Network Slicing in 5G: Survey and Challenges

SARA – A Semantic Access Point Resource Allocation Service for Heterogenous Wireless Networks

Contact Info

Product

Resources

About