On Orchestrating Service Function Chains in 5G Mobile Network

Zhao, Dongcheng; Ren, Jing; Lin, Rongping; Xu, Shizhong; Chang, Victor

doi:10.1109/access.2019.2895316

Cited by 30 publications

(44 citation statements)

References 45 publications

(63 reference statements)

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“…However, in their work authors only account on transmission and processing delays to optimize the SFC. Recently Long Qu et al [15] have proposed a model for SFC orchestration in 5G networks. They formulate the optimization problem using ILP and heuristic algorithms, but considering only the minimization of the path length and cost of computing resources of the VMs.…”

Section: Related Workmentioning

confidence: 99%

QoS and Resource-Aware Security Orchestration and Life Cycle Management

Bagaa

Taleb

Bernabé

et al. 2022

IEEE Trans. on Mobile Comput.

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Zero-touch network and Service Management (ZSM) exploits Network Function Virtualization (NFV) and Software-Defined Networking (SDN) to efficiently and dynamically orchestrate different Service Function Chaining (SFC), whereby reducing capital expenditure and operation expenses. The SFC is an optimization problem that shall consider different constraints, such as Quality of Service (QoS), and actual resources, to achieve cost-efficient scheduling and allocation of the service functions. However, the large-scale, complexity and security issues brought by virtualized IoT networks, which embrace different network segments, e.g. Fog, Edge, Core, Cloud, that can also exploit proximity (computation offloading of virtualized IoT functions to the Edge), imposes new challenges for ZSM orchestrators intended to optimize the SFC, thereby achieving seamless user-experience, minimal end-to-end delay at a minimal cost. To cope with these challenges, this paper proposes a cost-efficient optimized orchestration system that addresses the whole life-cycle management of different SFCs, that considers QoS (including end-to-end delay, bandwidth, jitters), actual capacities of Virtual Network Functions (VNFs), potentially deployed across multiple Clouds-Edges, in terms of resources (CPU, RAM, storage) and current network security levels to ensure trusted deployments. The proposed orchestration system has been implemented and evaluated in the scope of H2020 Anastacia EU project 1 , showing its feasibility and performance to efficiently manage SFC, optimizing deployment costs, reducing overall end-to-end delay and optimizing VNF instances distribution.

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Section: Related Workmentioning

confidence: 99%

QoS and Resource-Aware Security Orchestration and Life Cycle Management

Bagaa

Taleb

Bernabé

et al. 2022

IEEE Trans. on Mobile Comput.

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show abstract

“…The emergence of many lightweight virtualization technologies, such as docker and linux container technologies, makes it possible for deploying multiple VNFs simultaneously on the same high-performance server. The work in [24] studies the SFC deployment in 5G networks, and proposes a method of VNF combination and mapping temporary link to reduce network resource consumption. Wang et al [25] propose a method to conduct joint-optimization of SFC and resource allocation, and discuss the influence of virtual machine reusing and VNF combination on the performance of SFC deployment.…”

Section: Related Workmentioning

confidence: 99%

A Service Function Chain Deployment Method Based on Network Flow Theory for Load Balance in Operator Networks

Han

Meng

et al. 2020

IEEE Access

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Network function virtualization technology makes the deployment and management of network service more flexible and elastic by decoupling network function from dedicated hardware. The service requests of network function virtualization are usually deployed in the form of a service function chain. In order to solve the problems of load imbalance, unreasonable utilization of substrate resources, and the high delay of the service function chain deployment in operator networks, a service function chain deployment method based on the network flow theory is proposed in this paper. First, on the basis of perceiving the substrate network resources and topology with a software-defined network controller in real time, a candidate node set is determined according to the resource constraints and the locations of ingress/egress switch nodes that service flow flows in/out. Second, the candidate node set, the ingress/egress switch nodes and the connection between them are used to form a directed network, and the service function chain deployment problem is transformed into an optimal path selection problem. Then, a node disassembling method is used to transform the directed network into a capacity-flow-cost network. Finally, a minimum-cost maximum-flow algorithm is used to find the optimal deployment path and complete the service function chain deployment. Experiments show that the method proposed in this paper can guarantee the load balance of operator networks, reduce the average transmission delay of service flow, and make the utilization of substrate resources more reasonable.INDEX TERMS Network function virtualization, service function chain, node disassembling method, virtual network functions combination, minimum-cost maximum-flow.

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“…Identity management enables the system to be executed in an organized and orderly manner. Literature [ 36 ] is to realize the dynamic deployment of SFC through the connection between the different roles, so as to minimize the costs under the premise of meeting the conditions. In this paper, a goal is achieved by assigning different functions to different roles.…”

Section: System Structure and Adversarial Modelmentioning

confidence: 99%

CBOL: Cross-Bank Over-Loan Prevention, Revisited

Zhao

Zheng

et al. 2020

Entropy

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With the development of credit businesses, privacy data leakage and data accuracy in loan transactions among different banks tend to be worrisome issues hindering the prosperity of the industry. To address the problem, we propose a blockchain-based cross-bank over-loan prevention (CBOL-ring) mechanism, which ensures that, on the one hand, the plaintext of loan transactions cannot be access to neither participants on the nodes except the bank that handles loan/repayment requests, so as to prevent the borrower from loaning without revealing their privacy data; on the other hand, the other participants are able to prove the effectiveness of the plaintexts through checking the ciphertexts on the blockchain. In addition, we propose a blockchain-based cross-bank over-loan prevention mechanism with low communication volume (CBOL-bullet), which reduces the size of the range proof generated by the BBCBOLP mechanism, thereby reducing the size of the communication volume and saving resources during the data transmission process. Finally, we analyze the security and performance of the two mechanisms, and compare the communication volume of the two mechanisms.

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On Orchestrating Service Function Chains in 5G Mobile Network

Cited by 30 publications

References 45 publications

QoS and Resource-Aware Security Orchestration and Life Cycle Management

QoS and Resource-Aware Security Orchestration and Life Cycle Management

A Service Function Chain Deployment Method Based on Network Flow Theory for Load Balance in Operator Networks

CBOL: Cross-Bank Over-Loan Prevention, Revisited

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