PREDICTION OF SLA VIOLATIONS IN NEW GENERATION NETWORKS: A PROPOSAL
Abstract
Nowadays, users demand increasingly specialized services and applications (augmented reality, virtual reality, remote surgery, among others), which has affected the rapid growth and development such smart devices and Internet of Things sensors (IoT). Consequently, network requirements have become more demanding, critical, and dynamic to achieve high data transfer rates, massive connectivity, ultra-low latencies, and high reliability. New generation networks (5G/B5G) handle many parameters that make it difficult to manage with the traditional model. It is still insufficient with the help and implementation of technologies such as Software Defined Networks (SDN), Network Functions Virtualization (NFV), and Network Segmentation (NS), which considerably improve network performance by focusing on services. In the client-telecommunications service provider relationship, the latter must comply with the Service Level Agreements (SLA) and have an automated management mechanism at all levels. This article summarizes the 5G network's main characteristics and the technologies that support it. In addition, we present a proposal to achieve an automated management scheme that allows a better distribution (provisioning) of resources in the network.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
The authors who publish in this journal agree to the following terms:
- The authors retain the copyright and guarantee to the journal the right to be the first publication of the work are distributed under a license of use and distribution "Creative Commons Attribution-NonCommercial-NoDerivativeWorks 3.0 Unported" (CC BY-NC-ND 3.0) You can consult from here the informative version and the legal text of the license that allows others to share the work with an acknowledgement of the authorship of the work and the initial publication in this journal.
- Authors may separately enter into additional agreements for non-exclusive distribution of the version of the work published in the journal (for example, placing it in an institutional repository or publishing it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are allowed and encouraged to disseminate their work electronically (e.g., in institutional repositories or on their own website) before and during the submission process, as this can lead to productive exchanges as well as earlier and greater citation of published work (see The Effect of Open Access).