Fiber-Wireless Network Virtual Resource Embedding Method Based on Load Balancing and Priority

Xu, Siya; Guo, Shaoyong; Qiu, Xuesong

doi:10.1109/access.2018.2848919

Cited by 12 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to cope with the limited total transmission time of relay nodes and limited available energy, the authors designed and implemented two different relay-based harvest-retransmission scenarios. The results proved that the above strategies had achieved good results and related work has also been done [18], [19] and so on.…”

Section: Introductionmentioning

confidence: 64%

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

Wang

Dong²,

Duan

et al. 2022

Preprint

View full text Add to dashboard Cite

The rapid development of virtual network architecture makes it possible for wireless network to be widely used.With the popularity of artificial intelligence (AI) industry in daily life, efficient resource allocation of wireless network has become a problem. Especially when network users request wireless network resources from different management domains, they still face many practical problems. From the perspective of virtual network embedding (VNE), this paper designs and implements a multi-objective optimization VNE algorithm for wireless network resource allocation. Resource allocation in virtual network is essentially a problem of allocating underlying resources for virtual network requests (VNRs). According to the proposed objective formula, we consider the optimization mapping cost, network delay and VNR acceptance rate. VNE is completed by node mapping and link mapping. In the experiment and simulation stage, it is compared with other VNE algorithms, the cross domain VNE algorithm proposed in this paper is optimal in the above three indicators. This shows the effectiveness of the algorithm in wireless network resource allocation.

show abstract

Section: Introductionmentioning

confidence: 64%

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

Wang

Dong²,

Duan

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The prior arts on the virtual FiWi (V-FiWi) network embedding framework have been described to increase the InP revenue [13], balance the resource consumption [14], maximize the resource utilization [15], and manage the resourceefficient IoT service provisioning [16] from the viewpoints of QoS satisfaction and network reconfiguration, load balancing and priority, load balancing and QoS requirement, and Q-learning based traffic prediction, respectively. However, most of the existing VNE algorithms ignored the energy consumption cost for accommodating more VNRs while maintaining substrate resource utilization and average InP revenue.…”

Section: Introductionmentioning

confidence: 99%

Energy-Aware Virtual Network Migration for Internet of Things Over Fiber Wireless Broadband Access Network

Wang

et al. 2022

IEEE Internet Things J.

View full text Add to dashboard Cite

The virtualized Fiber Wireless broadband access networks (V-FiWi) paradigm, effectively embedding heterogeneous virtual networks (VNs) originated from the service provider (SP) into shared substrate network (SN) provided by infrastructure provider (InP), plays a tremendous role in meeting the differentiated requirements between wireless frontend sub-network and fiber backhaul sub-network to achieve the interoperability of heterogeneous resource allocation. However, most of the existing V-FiWi integration systems mainly focused on virtual network request (VNR) acceptance ratio, InP revenue, and substrate resource utilization, they ignored the crucial issue called higher energy consumption cost, which was resulted from the imbalanced consumption of the substrate resource between the arrival and departure of VNR. In this paper, we devote to exploring the energy-aware virtual network migration (EA-VNM) problem over the FiWi access technology,aiming to re-optimize the energy consumption while maintaining the high InP revenue and the large substrate resource utilization. In response to this issue, we firstly represent the service-oriented V-FiWi broadband access network architecture from the perspective of computing, storage, and network resource constraints, in which a migration model consisting of migration node and migration time is explained in detail. Then we propose an enhanced KM based energy-aware node migration(EKM-ENM) algorithm to economize on more bandwidth resource. More specially, the EA-VNM technology consists of network topology attributes and global network resources-based node-ranking measurement (NRM) phase, maximum weight matching-based node migration phase, and energy-aware link migration phase via Dijkstra shortest path algorithm. Finally, a rather large number of simulations are analyzed and evaluated numerically. Simulation results suggest that the proposed EKM-ENM algorithm outperforms the traditional embedding algorithms in terms of saving energy cost, decreasing time complexity, and improving VNR acceptance ratio.

show abstract

“…A updated CCD sampling approach is proposed to optimize the use of the optimum points and regression models of the obtained Pareto sample set. Subsequently, with the assistance of investigating a test function and a three-dimensional permanent magnetic pass flux device, the proposed solution can be seen to be successful and the computational expense of finite information evaluation can be dramatically saved [11]. M. Sarshanas (2015) et al had suggested a new hybrid technique to detect complex two-dimensional representation of the green functions of micro-strip systems is being provided.…”

Section: Introductionmentioning

confidence: 99%

Problem Solving in Cross Over Line Balancing Using Hho

2020

jcr

View full text Add to dashboard Cite

The assembly line is a series of workflow manufacturing structures that are still common in large scale manufacturing of sustainable items. In the unbalanced tax system, more idle time is required to complete the task; A similar hanging problem arises when the tasks are not properly planned. This article proposes a technique to the line balance problem with crossover workstations. Different techniques were developed to resolve assembly line balance troubles. Existing methods for solving the assembly line balance problem can't be implemented to included type issues. Using the Harris Hawks optimization, improve the performance of a network-based line balancing problem. The assembly line optimization is performed using the Harris Hawks optimization cycle multipoint crossover method to acquire actual posterity and the high-quality chromosome is chosen to determine the performance of the sequential construction system.

show abstract

Fiber-Wireless Network Virtual Resource Embedding Method Based on Load Balancing and Priority

Cited by 12 publications

References 35 publications

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

Energy-Aware Virtual Network Migration for Internet of Things Over Fiber Wireless Broadband Access Network

Problem Solving in Cross Over Line Balancing Using Hho

Contact Info

Product

Resources

About