Latency-aware Placement for State Management Functions in Service-based 5G Mobile Core Network

Do, Truong-Xuan; Kim, Young-Han

doi:10.1109/cce.2018.8465746

Cited by 7 publications

(7 citation statements)

References 11 publications

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“…During the SI selection process, the SB first performs filtering to simplify the large number of SIs to a small subset that meets the RAN service requirements for consumers. The filter selection may be based on the maximum latency of the transport network and the available bandwidth of the connected BS to another SI, depending on the maximum geographical distance or the congestion status the SI [32]. After filtering, a load balancing algorithm is applied to the remaining SIs to stabilize the traffic load over all available SIs.…”

Section: F Si Selectionmentioning

confidence: 99%

Service Based Virtual RAN Architecture for Next Generation Cellular Systems

et al. 2022

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Service based architecture (SBA) is a paradigm shift from Service-Oriented Architecture (SOA) to microservices, combining their principles. Network virtualization enables the application of SBA in cellular systems. To better guide the software design of this virtualized cellular system with SBA, this paper presents a software perspective and a positional approach to using fundamental development principles for adapting SBA in virtualized Radio Access Networks (vRANs). First, we present the motivation for using an SBA in cellular radio systems. Then, we explore the critical requirements, key principles, and components for the software to provide radio services in SBA. We also explore the potential of applying SBA-based Radio Access Network (RAN) by comparing the functional split requirements of 5G RAN with existing open-source software and accelerated hardware implementations of service bus, and discuss the limitations of SBA. Finally, we present some discussions, future directions, and a roadmap of applying such a high-level design perspective of SBA to next-generation RAN infrastructure. INDEX TERMSService-based architecture, network interfaces, radio access networks, software.

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Section: F Si Selectionmentioning

confidence: 99%

Service Based Virtual RAN Architecture for Next Generation Cellular Systems

et al. 2022

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“…However, in this network structure, data is scattered among various network functions, thus, it is difficult for the network to realize independent expansion and contraction. A multi-objective optimization problem is formulated in [17] which considers packet latency and state transfer frequency simultaneously to place state management functions in the CN. However, this paper does not consider the different impacts of different optimization objectives on the overall performance.…”

Section: Introductionmentioning

confidence: 99%

Placement Approach for the Data Storage Management Function in a RAN-CN Converged Network

Huang,

Zong,

Wang

et al. 2023

IEEE Access

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Recently, the control plane of the core network (CN) has introduced a flat service-based architecture to improve flexibility, openness, and intelligence. And a novel radio access network (RAN)-CN converged network architecture was proposed to leverage the advantages of virtualization and cloudification, reduce network delay and overhead, and increase the network processing efficiency. In this paper, in order to fully utilize the advantages of the RAN-CN converged network and move services closer to user equipment, a multi-layer network architecture is proposed, where some CN network functions (NFs) are moved from the CN to the edge node (EN) and integrate with corresponding RAN functions to avoid unnecessary signaling and data forwarding. And all NFs in the EN except converged data storage management function (cDSM) are designed to be stateless to decouple the storage resources from these NFs. Based on the proposed multilayer network architecture, a cDSM placement approach based on improved non-dominated sorting genetic algorithm II (iNSGA-II) is proposed to balance the data forwarding cost and the maximum load on cDSMs. Simulation results demonstrate that compared with the conventional NSGA-II, the convergence speed and distribution of the proposed iNSGA-II are improved. And according to different network requirements, the proposed scheme can achieve a trade-off between the data forwarding cost and the maximum load on cDSMs.INDEX TERMS radio access network, core network, network architecture, data storage management function, NSGA-II

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“…Therefore, NFV/SDN technology has emerged to respond the above challenges. Software Defined Networking (SDN) technology makes the separation of control and user planes come true, bringing independent scalability and service agility [ 2 ]. The NFV/SDN architecture decouples hardware and software, and Virtual Network Functions (VNFs) make the network function virtual and migratable.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Service Function Chaining Orchestration in a Multi-Domain: A Heuristic Approach Based on SRv6

Zhou

2021

Sensors

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With the emergence of virtualization technology, Network Function Virtualization (NFV) and Software Defined Networking (SDN) make the network function abstract from the hardware and allow it to be run on virtual machines. These technologies can help to provide more efficient services to users by Service Function Chaining (SFC). The sequence of multiple VNFs required by network operators to perform traffic steering is called SFC. Mapping and deploying SFC on the physical network can enable users to obtain customized services in time. At present, a key problem in deploying SFC is how to reduce network resource consumption and load pressure while ensuring the corresponding services for users. In this paper, we first introduce an NFV architecture for SFC deployment, and illustrate the SFC orchestration process which is based on SRv6 in multi-domain scenario. Then, we propose an effective SFC dynamic orchestration algorithm. First, we use Breadth-First Search algorithm to traverse network and find the shortest path for deploying VNFs. Next, we use the improved Ant Colony Optimization algorithm to generate the optimal deployment scheme. Finally, we conduct a series of experiments to verify the performance of our algorithm. Compared with other deployment algorithms, the results show that our solution effectively optimizes end-to-end delay, bandwidth resource consumption and load balancing.

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Latency-aware Placement for State Management Functions in Service-based 5G Mobile Core Network

Cited by 7 publications

References 11 publications

Service Based Virtual RAN Architecture for Next Generation Cellular Systems

Service Based Virtual RAN Architecture for Next Generation Cellular Systems

Placement Approach for the Data Storage Management Function in a RAN-CN Converged Network

Dynamic Service Function Chaining Orchestration in a Multi-Domain: A Heuristic Approach Based on SRv6

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