Dataset of the layer sharing relationships of microservice images

Given the absence of an open-source public dataset that exhibits the layer sharing relationships among different microservice images, we compiled a dataset containing the download frequencies and layer structures of microservice images from a cloud platform (https:\/\/cloud.tencent.com) and released it on GitHub: (https:\/\/anonymous.4open.science\/r\/DLA-HDRL). Specifically, we first aggregated the weekly download frequencies of 50 commonly used microservice images from DockerHub. Subsequently, we employed the Dive image analysis tool (https:\/\/github.com\/wagoodman\/dive) to analyze the file hash values and sizes of all image layers. If two distinct microservice images contained image layers with identical file hash values, this demonstrated that they share this particular layer. Given the absence of an open-source public dataset that exhibits the layer sharing relationships among different microservice images, we compiled a dataset containing the download frequencies and layer structures of microservice images from a cloud platform (https:\/\/cloud.tencent.com) and released it on GitHub (https:\/\/anonymous.4open.science\/r\/DLA-HDRL). Specifically, we first aggregated the weekly download frequencies of 50 commonly used microservice images from DockerHub. Subsequently, we employed the Dive image analysis tool (https:\/\/github.com\/wagoodman\/dive) to analyze the file hash values and sizes of all image layers. If two distinct microservice images contained image layers with identical file hash values, this demonstrated that they share this particular layer.