This is a preliminary dataset of user component states as an assistive statistics for mobile edge computing (MEC), which is used in the published paper, li2022blockchian and will be used in more future works.
Welcome to the user-component-dataset open-source dataset! This dataset is intended for use in PartFlow. It contains 85081 items of component states in sequence with timestamps and is released under the MIT LICENSE.
The component status data is a discrete sequential structure stored in JSON files. The preliminary dataset will be continuously updated to include more users, devices, and apps. We divide the data set by device into these folders. Each folder contains two JSON files, one containing device information and the other consisting of a list of component state data received from the device.
The data is provided in JSON. Each item includes the following fields: ["type", "status", "class", "descipt", "timestamp", "runtime", "uid"].
An example of one item:
{
"type": "session",
"status": "compareDelta",
"class": "www.littlefoxes.reftime.fragment.RecordFragment$4",
"descript": "(Ljava/lang/Object;Ljava/lang/Object;)I",
"timestamp": {
"$numberLong": "1622026054338"
},
"runtime": 9,
"uid": "0F875EB3F61294A92A9AAD64D92414C8"
}
To use the dataset, simply insert them into MongoDB.
Firstly, install mongoimport in your environment, which has already installed MongoDB.
For Linux,
sudo dpkg -l mongodb-database-tools
For MacOS,
sudo dpkg -l mongodb-database-tools
For Windows, download the MSI installer here and add the toolkits to PATH.
After installation, insert user component data by
mongoimport --jsonArray --db db --collection [uid] --[uid].json
Besides the data log, we are alse required to add devices information to the database.
mongoimport --jsonArray --db db --collection devices_info --devices_info.json