A fault-tolerant adaptive genetic algorithm for service scheduling in internet of vehicles

Abbasi, Shirin; Rahmani, Amir Masoud; Balador, Ali; Sahafi, Amir

doi:10.1016/j.asoc.2023.110413

Cited by 12 publications

(1 citation statement)

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“…Reference [13] adjusts weights based on service priorities, and decisions can also be dynamically updated as service priorities change. Reference [14] prioritizes services based on runtime and adequate response time. Reference [15] introduces a time-aware service recommendation approach based on dynamic service priorities and Quality of Service (QoS).…”

Section: Related Work 21 Service Prioritizationmentioning

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: Related Work 21 Service Prioritizationmentioning

confidence: 99%