边缘侧实时调度优化模型数据集

本数据集主要涉及边缘侧实时调度优化模型，由实际数据整理得到。主要数据项如下：微服务数量，微服务需求的计算速度，微服务需求的存储资源。应用数量，应用请求平均到达率，包含的微服务，包含的微服务的计算量，微服务间的数据传输量。服务器数量，服务器的计算速度，服务器的存储容量，服务器的核数，服务器的数据传输速率，数据条数150条。

This dataset primarily focuses on real-time scheduling optimization models for edge-side scenarios, compiled from real-world collected data. The main data items are as follows:
1. Microservice-related metrics: number of microservices, required computing speed for each microservice, required storage resources for each microservice.
2. Application-related metrics: number of applications, average arrival rate of application requests, included microservices, computing workload of each included microservice, data transmission volume between microservices.
3. Server-related metrics: number of servers, computing speed of each server, storage capacity of each server, number of CPU cores of each server, data transmission rate of each server.
Total number of data entries: 150.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于边缘侧实时调度优化模型，包含微服务数量、计算速度、存储需求等关键数据项，共计150条数据，数据量为59.1KB。它由东北大学创建，源自国家重点研发计划项目，旨在支持边缘计算资源调度研究。