SDN/Cloud Solutions for Intent-Based Networking

Beshley, Mykola; Pryslupskyi, Andrii; Panchenko, Oleksiy; Beshley, Halyna

doi:10.1109/aiact.2019.8847731

Cited by 26 publications

(8 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In [8], the network is automated using Intent-Based Networking (IBM), which is similar to SDN, and improves the quality of service (QoS) of the network using cloud technology. It distributes the additionally required resources to the cloud by using cloud technology instead of physical backup resources when the network approaches the maximum overhead.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Network Resource Management in SDN for Cloud Services

et al. 2020

View full text Add to dashboard Cite

With the recent advancements in cloud computing technology, the number of cloud-based services has been gradually increasing. Symmetrically, users are asking for quality of experience (QoE) to be maintained or improved. To do this, it has become necessary to manage network resources more efficiently inside the cloud. Many theoretical studies for improving the users’ QoE have been proposed. However, there are few practical solutions due to the lack of symmetry between implementation and theoretical researches. Hence, in this study, we propose a ranking table-based network resource allocation method that dynamically allocates network resources per service flow based on flow information periodically collected from a software defined network (SDN). It dynamically identifies the size of the data transmission for each service flow on the SDN and differentially allocates network resources to each service flow based on this size. As a result, it maintains the maximum QoE for the user by increasing the network utilization. The experimental results show that the proposed method achieves 29.4% higher network efficiency than the general Open Shortest Path First (OSPF) method on average.

show abstract

Section: Related Workmentioning

confidence: 99%

An Efficient Network Resource Management in SDN for Cloud Services

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In addition, the IBN technology includes a mechanism for continuous monitoring with automatic reconfiguration for consistency with given intentions, which provides an additional level of network monitoring [21]. The basis of this mechanism is a feedback system covering policy-based automation, network analytics, and training [22]. These networks provide a significantly new level of automation, improving service efficiency, speed of innovation, and network reliability.…”

Section: Qoe Achieved By Customersmentioning

confidence: 99%

Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking

et al. 2020

Self Cite

View full text Add to dashboard Cite

The rapid development and spread of communication technologies is now becoming a global information revolution. Customers have a need for communication services, which could be flexibly configured in accordance with their Quality of Experience (QoE) requirements. Realizing the close connection between customer experience and profitability, the service provider has been placing more and more attention on customer experience and QoE. The traditional quality of service management method based on SLA (Service Level Agreement) is not sufficient as a means to provide QoE-related contracts between service providers and customers. The current SLA method is mostly limited and focused on technical aspects of QoS (Quality of Service). Furthermore, they do not follow on the network the principles and semantic approach to the QoS specification for a communication service using QoE parameters. In this paper, we propose a customer-oriented quality of service management method for future IBN (Intent-Based Networking). It is based on a new QoE metric on a scale from 1 to 5, which allows one to take into account the commercial value of e-services for customers. Based on this approach, the network configuration and functionality of network equipment automatically changes depending on customer requirements. To implement the new method of service quality management, an algorithm for routing data packets in the network was developed, taking into account the current load of the forecast path. The algorithm of billing system functioning in conditions of customer-oriented quality management in telecommunication networks has been created. To investigate the effectiveness of the proposed method of service quality management with the traditional SLA method, we developed a simulation network model with the implementation of two approaches. By conducting a simulation, it was determined that the proposed method gives an average gain of 2–5 times for the criterion of the number of customers who require high quality of experience of the service.

show abstract

“…Modern networks are now capable of being built to specific intent (Beshley et al, 2019) rather than the generic one-size-fits-all posture of the past. Data network capabilities have shifted from only supporting their own weight (despite increased transport speeds and resiliency algorithms) to intelligently supporting the complex application architecture and underlying strategic business intent and requirements which are integral to digital transformation.…”

Section: Purpose Of This Studymentioning

confidence: 99%

Relational Effects of Data Networks: How Strategically Aligned Data Networks Impact Digital Transformation

Toussaint

2020

SSRN Journal

View full text Add to dashboard Cite

Digital Transformation (DX) has become a pervasive global phenomenon that is having a profound effect at all levels of an enterprise. The umbrella term DX is supported by nascent technologies such as blockchain, Internet of Things (IoT), and cloud-based computing and networking. The speed by which these new DX technologies have emerged has challenged current technical infrastructures, budgets, and skillsets as organizations attempt to incorporate and implement these technologies as part of pervasive digital operational initiatives. DX also includes the transformative effects (deployment and adoption) of these technologies, and these are referred to as "outcomes" in this dissertation. Not surprisingly, recent studies indicate that at least seventy percent of DX projects either fail or underperform. As firms assess existing technology-to-business alignments in search of attributable causation, they discover that these alignments are often opaque regarding the capabilities required to obtain optimal digital transformation outcomes from the application of specific technologies. This is especially true as underlying technology infrastructures and architectures, which have had a traditionally functional role such as the data network, are increasingly relied upon to support the strategic outcome requirements of DX. This dissertation uses an inductive, multiple case study approach to explore these relationships and outcomes. It directly observes a set of large organizations across multiple verticals. These organizations have all completed pervasive digital transformation initiatives, more specifically, this study measured the resultant levels of vi

show abstract

SDN/Cloud Solutions for Intent-Based Networking

Cited by 26 publications

References 26 publications

An Efficient Network Resource Management in SDN for Cloud Services

An Efficient Network Resource Management in SDN for Cloud Services

Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking

Relational Effects of Data Networks: How Strategically Aligned Data Networks Impact Digital Transformation

Contact Info

Product

Resources

About