Efficient NFV Orchestration and Management in Multi-Tenant Environments using the ARAS Method

In contemporary network infrastructure, the effective orchestration and management of Network Function Virtualization (NFV) within multi-tenant environments holds significant importance. This encompasses the streamlined deployment, scalability, and fine-tuning of virtualized network functions, aimed at fulfilling a wide array of tenant needs. This harmonious coexistence of various user services not only optimizes resource employment but also elevates the overall performance of the network. The research importance of orchestrating and managing Network Function Virtualization (NFV) in multi-tenant environments is significant, as it plays a central role in optimizing how resources are allocated, ensuring the effective delivery of services, and facilitating scalability in contemporary network infrastructures. With the growing integration of virtualized functions to cater to a variety of tenant requirements, proficient orchestration and management are essential for mitigating conflicts, enhancing resource allocation efficiency, and upholding service quality. Tackling these complexities is instrumental in enabling multiple tenants to coexist smoothly within a shared virtualized framework. The study utilizes the ARAS (Adaptation, Reconfiguration, Automation, and Slicing) approach to explore the orchestration and management of NFV within multi-tenant environments. ARAS integrates adaptive methodologies, dynamic reconfiguration, automated procedures, and network slicing to examine the distribution of resources, enhance performance, and ensure the segregation of tenants. Alternative and Evaluation Parameters taken as Through the utilization of the ARAS approach, this study investigates the coordination and administration of NFV within multi-tenant settings, concentrating particularly on platforms such as OpenStack, Open Baton, Tacker, ONAP, and Kubernetes. The assessment encompasses metrics such as the duration of automated deployment, the rate of successful service execution, the level of resource utilization, and the instances of service disruption. Employing the ARAS methodology, this study ranked NFV orchestration options in multi-tenant settings, evaluating key metrics. ONAP showcased superior performance, with Kubernetes in second place. OpenStack, Tacker, and Open Baton demonstrated differing efficiencies, offering insights for enhancing NFV management across diverse multi-tenant contexts.

Publication Details

Published
2025-08-21
DOI
https://doi.org/10.46632/daai/5/1/17
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
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article

Efficient NFV Orchestration and Management in Multi-Tenant Environments using the ARAS Method

Industrial Vision Systems and Defect Detection
article

Efficient NFV Orchestration and Management in Multi-Tenant Environments using the ARAS Method

article en

Abstract

In contemporary network infrastructure, the effective orchestration and management of Network Function Virtualization (NFV) within multi-tenant environments holds significant importance. This encompasses the streamlined deployment, scalability, and fine-tuning of virtualized network functions, aimed at fulfilling a wide array of tenant needs. This harmonious coexistence of various user services not only optimizes resource employment but also elevates the overall performance of the network. The research importance of orchestrating and managing Network Function Virtualization (NFV) in multi-tenant environments is significant, as it plays a central role in optimizing how resources are allocated, ensuring the effective delivery of services, and facilitating scalability in contemporary network infrastructures. With the growing integration of virtualized functions to cater to a variety of tenant requirements, proficient orchestration and management are essential for mitigating conflicts, enhancing resource allocation efficiency, and upholding service quality. Tackling these complexities is instrumental in enabling multiple tenants to coexist smoothly within a shared virtualized framework. The study utilizes the ARAS (Adaptation, Reconfiguration, Automation, and Slicing) approach to explore the orchestration and management of NFV within multi-tenant environments. ARAS integrates adaptive methodologies, dynamic reconfiguration, automated procedures, and network slicing to examine the distribution of resources, enhance performance, and ensure the segregation of tenants. Alternative and Evaluation Parameters taken as Through the utilization of the ARAS approach, this study investigates the coordination and administration of NFV within multi-tenant settings, concentrating particularly on platforms such as OpenStack, Open Baton, Tacker, ONAP, and Kubernetes. The assessment encompasses metrics such as the duration of automated deployment, the rate of successful service execution, the level of resource utilization, and the instances of service disruption. Employing the ARAS methodology, this study ranked NFV orchestration options in multi-tenant settings, evaluating key metrics. ONAP showcased superior performance, with Kubernetes in second place. OpenStack, Tacker, and Open Baton demonstrated differing efficiencies, offering insights for enhancing NFV management across diverse multi-tenant contexts.

Vol. 5(1, 2025)
Openalex Percentile: Top 70%
Industrial Vision Systems and Defect Detection
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Efficient NFV Orchestration and Management in Multi-Tenant Environments using the ARAS Method · (2025) | TGRS Research Map | TGRS