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边-云计算中一种结合服务产生的服务部署策略

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  • 万方数据
  • 维普
考虑到传统的云端服务生成后再下载部署服务的方法存在性能不佳的情况，本文依据感知数据在从边端向云端上传的过程中在各级网络设备中构造生成服务的情况，将服务部署的时间提前到服务生成过程中，结合用户访问特征，提出一种结合服务构造的服务部署策略。该策略包括自底向上的分布式服务构造机制以及自上而下的服务部署机制。研究结果表明:与最少使用更新的服务部署(LRU)策略相比，本文提出的基于服务构造的服务部署(SPSG)策略可以有效减少68。7%的网络负载量，用户请求服务的延迟时间缩短了48。0%，证实了所提策略的有效性。
A service placement scheme combined with services generation for edge-cloud computing
Considering the inefficient performance of traditional methods where services are generated centrally in the cloud and then deployed after downloading,an improved service deployment strategy was proposed in this paper based on the construction of services from edge to cloud during the transmission of sensing data through network devices,in which the deployment time of services was advanced to the service generation process and user access characteristics were considered.The strategy consisted of a bottom-up distributed service construction mechanism and a top-down service deployment mechanism.The results show that compared with the least recently used deployment(LRU)scheme,the proposed service placement scheme by combining services generation(SPSG)strategy can effectively reduce network loads by 68.7%and decrease latency of service request by 48.0%,validating the effectiveness of the proposed method.

edge-cloud computingdata service-oriented constructionservice deploymentloaddelay

冯国富、刘桂、王娟

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上海海洋大学信息学院,上海,201306

边-云计算 数据服务化构造 服务部署 负载 延迟

广东省重点领域研发计划项目上海市科技创新计划项目Key Areas Research and Development Program of Guangdong ProvinceScience and Technology Innovation Program of Shanghai

2021B020207000120dz1203800

2024

10.11817/j.issn.1672-7207.2024.07.012

中南大学学报(自然科学版)
中南大学

中南大学学报(自然科学版)

CSTPCD北大核心
影响因子：0.938
ISSN：1672-7207
年,卷(期)：2024.55(7)