The Dashboard is separated into three tables: Running cloud machines,Jobs, and Cloud data. Items in each table can be selected by clicking anywhere within their table row. Selected rows are highlighted in blue. In the upper right corner of the dashboard, four buttons for navigation and managing the cloud settings are located.
Dashboard: Always brings you back to your cloud dashboard.
Change Password: Directs you to a page where you can change your password.
MFA settings: Directs you to a page to handle all multi-factor authentication settings. Here you can enable/disable the multi-factor authentication and generate Backup Tokens that can be used when your primary and backup phone numbers are not available to you.
This table contains a list of your currently running cloud machines. The Start new machine button allows you to start a new cloud machine.
The columns of the table give you information on:
User: Your username for the login to the Math2Market Cloud.
Hostname: Randomly generated name as identifier for this cloud machine.
GeoDict version: Here you can see the GeoDict version that is provided on the cloud machine. You can chose this version when starting a new machine.
vCPUs: Number of logical CPU cores of the cloud machine.
Note! Be aware that the Number of Cores shown includes cores available through the use of hyperthreading. That means, a machine with 32 logical cores consists of 16 physical cores. Some GeoDict functionalities cannot efficiently use hyperthreading. Their speed is limited by the ability of the processor to process large amount of data and not by the ability to do many arithmetic operations. Therefore, if you select a machine with 32 cores from the list, the runtimes may be similar for using 16x parallelization or 32x parallelization, as cores available through hyperthreading may not add a significant speedup.
RAM: Size of the RAM (memory) available on the cloud machine.
Utilization: Current utilization of the hardware resources. This allows you to see if the cloud machine is idling or a simulation is currently running. Note that these metrics are updated ith a small delay.
Launch time: Time when the cloud machine was started.
Time running: Shows how long the machine has been running.
Timeout: This option is only available for jobs sent from GeoDict to the cloud. For cloud machines started from the dashboard, it is always No timeout.
Status: In the rightmost column, the current status of the cloud machine is located. The status can be Starting, Connect, and Terminating. Click on the button when it shows Connect to open a connection to the cloud machine in a new tab.
Show password: Click on this button to show the password of the cloud machine. Enter this password when connecting to the cloud machine.
Below the list, the Terminate button is located. Select one or more cloud machines and click this button to terminate them.
Important! Once a cloud machine is terminated, all data on the machine is deleted. Therefore, make sure to upload all results to the cloud data in the dashboard before terminating. Machines that are not terminated continue to run indefinitely. This can result in high costs for running the cloud machines. Make sure to terminate all machines that are no longer needed.
The table contains a list of currently available data archives (*.zip) in the Math2Market Cloud. Click Upload new ZIP file to upload data (e.g. CT scans) to the dashboard. When starting a machine, you can then select the uploaded dataset to make it available on the machine.
Zipped data archives shown in this table of the dashboard can originate from two sources:
Upload zipped files from your local machine to the cloud through the Upload new ZIP file button. Browse for a ZIP file in the dialog and click Upload. Afterwards, the uploaded data is shown in the Cloud data table and can be selected when starting a new machine.
Upload the project folder of a running cloud machine. You can upload the project folder by double-clicking the copyProjectFolderToDashboard.py script on the desktop of a running cloud machine.
Click on the ZIP file name that is shown in blue to download the file to your machine. Click Delete delete all selected ZIP files.
Important! The Cloud data allows you to exchange data between local and cloud machines and can also serve as short-term storage, e.g. storing results after working in the cloud and using these results to start a new cloud machine the next day. It should not be used as long-term storage for data.
