Expected outcomes & behaviour Sample Clauses

Expected outcomes & behaviour. The Identity Management module will be responsible for handling authentication and authorization control whether it concerns internal request made by HEROES’ services or external request from a user using the published APIs. The following workflows schemas will present the expected behaviour of the module when confronted to a user’s request to log in onto the HEROES platform and then proceed to call upon one of the published API.
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Expected outcomes & behaviour. The Deployment & Integration Module main objective is to implement / execute tasks that will be sent from the Workflow Management module to ensure that the resources are available for receiving ML/HPC jobs. The following types of incoming tasks are expected: • Deploy / undeploy cloud compute resources • Check if HPC Centre HEROES resources and services are active and correctly configured The Deployment & Integration Module will also contain a library of Ansible [13] playbooks that will be used to install and configure the HEROES Runtime both in the cloud platforms and in the HPC Centres. 4.2.5.1 Deployment workflows Figure 10 - Cloud Platform Deployment workflow & HPC Centre Compliance Check workflow The Cloud Platform Deployment workflow will take care of: • Start / Stop compute nodes on existing Private Cloud Clusters within an Organization scope • Deploy / undeploy temporary compute nodes for single users and organizations without an existing Private Cloud Cluster. (Please note that this will cover all types of different compute nodes, including but not limited to CPU nodes, GPU nodes, Remote Visualization nodes.) • The above tasks will be accomplished using the Cloud Platform CLI and APIs, mainly through scripts. The scripts will be exposed to the Workflow module either directly or via APIs. The HPC Centre Compliance Check workflow will take care of: • Check that the HEROES Runtime is active on the HPC Centre Headnode (see section 4.2.1) • Check that the HEROES Runtime is configured as expected • The above tasks will be accomplished using Ansible roles, containerized applications and services, scripts. The Ansible roles will be exposed to the Workflow module either directly or via APIs.
Expected outcomes & behaviour. As stated before, the expected outcome for this module is: • Dynamic and transparent energy optimization for running jobs. EAR will dynamically analyse running jobs and will select the optimal frequency. HEROES will apply a default policy for non-expert users and will give the opportunity to select a specific energy optimization policy to energy-aware users. Anyway, system specific settings will be considered. Energy optimization policies will be applied when supported by system limitations. • Automatic job accounting: Metrics gathered by EAR will be reported to HEROES DB. Not all the data will be reported, only data needed for HEROES job accounting and for the decision module. Given a job could generate lots of signatures at runtime, we will select relevant data such as 1 signature per application phase and phase duration. • System monitoring: EAR will report system status and relevant metrics / events to the decision module to characterize our ecosystem.
Expected outcomes & behaviour. The Data Management Module will be the core of the following workflows.
Expected outcomes & behaviour. The Application and Container Management & Orchestration Module main objective is to allow the creation, management, and orchestration of application. The following types of incoming tasks are expected: • Create / Delete application • Update application • Publish / Unpublish application The application packager (organization application administrator or Application Provider) can create an application within the HEROES platform using a container. The application creation includes: • The application information will be stored in a database within the Application and Container Management & Orchestration module. • The storage of the application’s container will be managed by the Data Management module After its creation, application will become visible for modifications or publication for its owner. The owner of an application must make functional tests within the HEROES platform with its application before each new application publishment. After publishment, the cost and license of the published application will be available for the Cost Management module.
Expected outcomes & behaviour. The Workflow & Job Management Module main objective is to allow the creation, management, and orchestration of custom workflows, both for engineering and architecture management. The following types of tasks are expected: • Create / Delete architecture / engineering / scientific workflows • Run a specific workflow interacting with the rest of the HEROES architecture • Log all the states and changes of the workflow • Give proper metadata about the workflows state and execution The Workflow & Job Management main tool (Ryax) can easily create workflows for the HEROES platform using their own GUI or importing it as code from an external repository. The workflows creation and later execution include some interaction with other modules that are part of the HEROES infrastructure, where: • The execution of the workflow could be triggered by the user directly using the User Interface via a web browser. • The user can define the data used by the workflow through HEROES web interface or APIs. Then, the Workflow & Job Management module interacts indirectly with the Data Management module to transfer data to the target infrastructures and used by the different workflow tasks. • All the workflow submission parameters are forwarded by the Service Gateway to the Workflow Management Module. It then uses them through the Decision Module to get some information about placement strategy for the workflow. • The user chooses if he continues or not with the workflow execution via web browser using the User Interface. • When the target infrastructure is selected, the Deployment and Integration Module deploys the required resources if needed. • The toolset is selected from an available Singularity container on the Application and Container Management and orchestration module. • The job is submitted to the Resource Providers using the Submission / Transfer module. • The job is monitored using the Submission / Transfer Module and the obtained metrics are placed in the Telemetry / Accounting Module. • The metadata retrieved from the execution and workflow status is saved in the General Logging Module.
Expected outcomes & behaviour. The decision module will operate in four successive steps:
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Expected outcomes & behaviour. 4.8.5.1 Log events / messages and store in central repository Figure 32 - Logging & storing workflow Thanks to the many source plugins available for FluentD, a component of the HEROES platform will be able to log using native libraries (python, java, etc.) interacting directly with the FluentD td-agent (TreasureData Agent) [11] process. In case of system services, the rsyslog [34] source plugin will be used to forward any event / message that will normally be sent just to the OS (Operating System) logging facilities. The td-agent process will then forward the logs to the central repository, where Elasticsearch will be able to tag, analyse and index the received data, that will then be ready for consultation, search, and further analysis with Xxxxxx.
Expected outcomes & behaviour. The Costs Module main objective is to: • Provide means to manage business models for the applications / workflows and resources. The history of each business model will be kept for auditing. • Provide a centralized accounting information for billing purposes (keep track of all consumed resources and associated prices).

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