Joint Resource Management and Flow Scheduling for SFC Deployment in Hybrid Edge-and-Cloud Network

Mao, Yingling; Shang, Xiaojun; Yang, Yuanyuan

doi:10.1109/infocom48880.2022.9796884

Cited by 29 publications

(2 citation statements)

References 28 publications

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“…Reference [27], MSCD framework can automatically customize multi-domain network services based on users' personalized service preferences, and deploy them in multi-domain networks, to provide customizable multi-domain services for different users. Reference [28] an Ant Colony Optimization meta-heuristic algorithm for the Online SFC Deployment is proposed to minimize the server operation cost and network latency for near real-time SFC deployment.…”

Section: Service Deploymentmentioning

confidence: 99%

MS-GD-P: Priority-Based Service Deployment for Cloud-Edge-End Scenarios

Jin,

Wang,

Luo

2024

Preprint

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In cloud-edge-end scenarios, how to achieve rational resource allocation, implement effective service deployment, and ensure high service quality has become a hot research topic in academic domains. Service providers usually deploy services by considering the characteristics of different geographical regions, which helps to meet the diverse needs of users in different regions and optimize resource allocation and utilization. However, due to the widespread distribution of users and limited server resources, providing all types of services to users in every geographical region is not feasible. In addition, edge servers are prone to operational failures caused by software anomalies, hardware malfunctions, and malicious attacks, which will decrease service reliability. To address the problems above, this paper proposes a metric for service priorities based on user demands and regional characteristics for different geographical regions. Building upon this foundation, a Multi-Service Geographic region Deployment based on Priority (MS-GD-P) is proposed. This method takes user coverage and service reliability into consideration, which facilitates users' needs for multiple services in different geographical regions. Experimental results on real datasets demonstrate that MS-GD-P outperforms baseline methods in user coverage and service reliability.

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Section: Service Deploymentmentioning

confidence: 99%

MS-GD-P: Priority-Based Service Deployment for Cloud-Edge-End Scenarios

Jin,

Wang,

Luo

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…To meet the unique latency-sensitive demands of 5G verticals, the multiaccess edge computing (MEC) architecture has emerged, which brings multiple parts of the required network and computing functionality to the edge of the network, relying to a great extent on the availability and proximity of the network and computing resources to meet the quality of service (QoS) prescribed by the various service level agreements (SLAs) [2]. In addition to reducing communication latency, deploying SFCs at network edges also has the potential to save bandwidth and ensure data security and privacy [3]. There is now a growing demand for SFC deployment at the edge [4].…”

Section: Introductionmentioning

confidence: 99%