Electronic Resource
SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments
| العنوان: | SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments |
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| المؤلفون: | Zeng, Yue, Qu, Zhihao, Guo, Song, Ye, Baoliu, Zhang, Jie, Li, Jing, Tang, Bin |
| بيانات النشر: | IEEE Computer Society 2024 |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | As a key technology of 5G, network function virtualization enables each monolithic service to be divided into microservices, facilitating their deployment and management in edge environments. One of the most critical issues in 5G is how to support dynamically arriving mission-critical services with low-latency and high-reliability requirements in distributed edge environments. However, most existing works focus on how to provide reliable services without considering latency, and their heuristics struggle to cope with high-dimensional constraints and complex environments with heterogeneous infrastructure and services. In this paper, we propose a SafeDRL algorithm to resource-efficiently support these dynamically arriving services while meeting their reliability and latency requirements. Specifically, we first formulate the problem as an integer nonlinear programming and prove its NP-hardness. To tackle this problem, our SafeDRL algorithm captures delayed rewards in dynamic environments by reinforcement learning, and corrects constraint violations with high-quality feasible solutions based on expert intervention, and prunes unnecessary backup instances for optimality. The algorithm is proved to have a bounded approximation ratio in general cases. Extensive trace-driven simulations show that, compared with the state-of-the-art solution, SafeDRL can save resource costs by up to 49.32% and improve the service acceptance ratio by up to 55% with acceptable execution time. © 2023 IEEE. |
| مصطلحات الفهرس: | 5G, Deep reinforcement learning, Edge computing, Mission-critical services, Network function virtualization, Article |
| URL: | |
| الاتاحة: | Open access content. Open access content |
| ملاحظة: | English |
| Other Numbers: | HNK oai:repository.hkust.edu.hk:1783.1-134830 IEEE Transactions on Computers, v. 73, (1), January 2024, article number 10305538, p. 235-248 0018-9340 1557-9956 1430646699 |
| المصدر المساهم: | HONG KONG UNIV OF SCI & TECH, THE From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.on1430646699 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |