Heuristic Resource Allocation Algorithm for Controller Placement in Multi-Control 5G Based on SDN/NFV Architecture

Ibrahim, Abeer A. Z.; Hashim, Fazirulhisyam; Noordin, Nor Kamariah; Sali, Aduwati; Navaie, Keivan; Fadul, Saber M. E.

doi:10.1109/access.2020.3047210

Cited by 24 publications

(11 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To examine the trade-off between the number of controllers and energy consumption, we further observe the improved energy saving of the control paths. The optimum number of controllers for each network size is determined and set by our previous results in [55]. As predicted, energy conservation reduces as the number of demands increases since new routes occur.…”

Section: ) Impact Of Number and Location Of The Controllers In Energy...mentioning

confidence: 99%

“…In the simulation, we considered the network traffic and flow generation following the structure for predefined optimum location and number of controllers achieved by our previous algorithm in [55]. We randomly generate the topologies that are similar to real-world networks selected from Zoo topology [47].…”

Section: A Model Simulationmentioning

confidence: 99%

“…End for Output Total_active_Routs, Controllers_capacity placement [55]. Hence, the computational complexity can be calculated as O(N Kt), where (t) is the number of iterations and refers to the number of placed controllers and assigning a switch to set the path.…”

mentioning

confidence: 99%

See 2 more Smart Citations

A Multi-Objective Routing Mechanism for Energy Management Optimization in SDN Multi-Control Architecture

et al. 2022

Self Cite

View full text Add to dashboard Cite

This paper proposed and implemented an energy-aware routing multi-level and mapping problem (EARMLP) algorithm to minimize the overall power consumption in Software-Defined Networking (SDN)-based core networks. To enforce network utilization toward green policies design for Data Centers (DCs), SDN leverages protocol configurations for routing available in the infrastructure. Therefore, the proposed mechanism aimed to design an optimal routing strategy that considers system configuration and traffic demand between the data and control planes in networks. The problem is then addressed from the perspective of the policy-based EARMLP technique, which is used to carefully determine the optimal assignment between controllers and their switches to optimize network energy savings. Hence, a controller placement problem (CPP) is established to select the optimal locations and number of controllers in core networks and create an optimal mapping and resource allocation between switches and controllers. Since the formulated energy-aware routing algorithm is designed as a multi-objective NP-hardness of the problem, a heuristic approach is developed to find optimal solutions for traffic routing between inter-controllers and controller-switch in terms of energy-aware consumption strategies. Consequently, the proposed optimal routing mechanism can rearrange traffic to meet provisioning criteria by utilizing the capacity-aware design. Remarkably, the energy saved in networks by our suggested method can approach up to 70% of the energy saved in SDN-based networks compared to other methods.

show abstract

Section: ) Impact Of Number and Location Of The Controllers In Energy...mentioning

confidence: 99%

Section: A Model Simulationmentioning

confidence: 99%

See 1 more Smart Citation

A Multi-Objective Routing Mechanism for Energy Management Optimization in SDN Multi-Control Architecture

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Вирішенням є створення з'єднань із лініями високої ємності та пере направлення трафіка на ці зв'язки. Також для вирішення цієї проблеми використовують програмно-визначену мережу (SDN), Ця SDN є новою технологією із логічним централізованим виглядом, що допомагає керувати великою кількістю хостів [57][58]. Але основною проблемою таких мереж є великі потоки даних, що є причину перенавантаження мереж, що в свою чергу знижує продуктивність мережі.…”

Section: вступunclassified

Контроль Трафіку У Гетерогенних Мережа 5g

Piltyay¹

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…At present, the research on network resource mapping and orchestration algorithms for the integration of SDN and NFV is mainly focused on a certain network resource, and the optimization direction is mostly to optimize the overall network resource utilization efficiency and reduce network costs [13,14]. However, in reality we are faced with complex heterogeneous network resources and user groups with different needs and preferences.…”

Section: Introductionmentioning

confidence: 99%

Research on Service Function Chain Orchestrating Algorithm Based on SDN and NFV

Jia¹,

Gong²,

Wei³

2022

Journal of Quantum Computing

View full text Add to dashboard Cite

Software defined network (SDN) and network function virtualization (NFV) have become a new paradigm of a new generation of network architecture. SDN and NFV can effectively improve the flexibility of deploying and managing service function chains (SFCs). By combining SDN and NFV and applying them to the resource orchestration problem of SFC deployment, the three-tier architecture consisting of SDN controller, network function virtualization and physical underlying computing resource layer in the process of heterogeneous network resource mapping is considered. And an optimization algorithm for active control resources based on SDN and NFV is proposed. Firstly, the user's utility is modeled by the multistandard aggregated multi-criteria utility algorithm, and the optimization goal is transformed into the problem of maximizing the user's utility. Then the controller, based on the algorithm's prediction of the future state and realtime monitoring of the network utilization, makes decisions and issues control commands for the arriving SFC requests, based on which it occupies the underlying resources held by the virtualized network function (VNF). The simulation results show that, compared with the static timing resource allocation algorithm, the active control resource deployment algorithm proposed in the article has better performance in terms of resource utilization, acceptance rate, and user creation utility.

show abstract

Heuristic Resource Allocation Algorithm for Controller Placement in Multi-Control 5G Based on SDN/NFV Architecture

Cited by 24 publications

References 50 publications

A Multi-Objective Routing Mechanism for Energy Management Optimization in SDN Multi-Control Architecture

A Multi-Objective Routing Mechanism for Energy Management Optimization in SDN Multi-Control Architecture

Контроль Трафіку У Гетерогенних Мережа 5g

Research on Service Function Chain Orchestrating Algorithm Based on SDN and NFV

Contact Info

Product

Resources

About