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1 Terminology

This section describes the terminology used in the system.

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At Run Time, the following Control Loop Life Cycle mangement management capabilities are supported:

1. Control Loop Commissioning. This capability allows version controlled Control Loop Type definitions to be taken from the Control Loop Design Time Catalogue and be placed in the Commissioned Control Loop Inventory. It also allows the values of Common Property Types that apply to all instances of a Control Loop Type to be set. Further, the Control Loop Type is primed on all concerned participants. The post condition for an execution of this capability is that the Control Loop Type definition is in the Commissioned Control Loop Inventory and the Control Loop Type is primed on concerned participants.
2. Control Loop Instance Life Cycle Management.  This capability allows a Control Loop Instance to have its life cycle managed.
   
   1. Control Loop Instance Creation: This capability allows a Control Loop Instance to be created. The Control Loop Type definition is read from the Commissioned Control Loop Inventory and values are assigned to the Instance Specific Property Types defined for instances of the Control Loop Type in the same manner as the existing CLAMP client does. A Control Loop Instance that has been created but has not yet been instantiated on participants is in state UNINITIALIZED. In this state, the Instance Specific Property Type values can be revised and updated as often as the user requires. The post condition for an execution of this capability is that the Control Loop instance is created in the Instantiated Control Loop Inventory but has not been instantiated on Participants.
   2. Control Loop Instance Update on Participants: Once the user is happy with the property values, the Control Loop Instance is updated on participants and the Control Loop Elements for this Control Loop Instance are initialized or updated by participants using the control loop metadata. The post condition for an execution of this capability is that the Control Loop instance is updated on Participants.
   3. Control Loop State Change: The user can now order the participants to change the state of the Control Loop Instance. If the Control Loop is set to state RUNNING, each participant begins accepting and processing control loop events and the Control Loop Instance is set to state RUNNING in the Instantiated Control Loop inventory. The post condition for an execution of this capability is that the Control Loop instance state is changed on participants.
   4. Control Loop Instance Monitoring. This capability allows Control Loop Instances to be monitored. Users can check the status of Participants, Control Loop Instances, and Control Loop Elements. Participants report their overall status and the status of Control Loop Elements they are running periodically to CLAMP. Clamp aggregates these status reports into an aggregated Control Loop Instance status record, which is available for monitoring. The post condition for an execution of this capability is that Control Loop Instances are being monitored.
   5. Control Loop Instance Supervision. This capability allows Control Loop Instances to be supervised. The CLAMP runtime expects participants to report on Control Loop Elements periodically. The CLAMP runtime checks that periodic reports are received and that each Control Loop Element is in the state it should be in. If reports are missed or if a Control Loop Element is in an incorrect state, remedial action is taken and notifications are issued. The post condition for an execution of this capability is that Control Loop Instances are being supervised by the CLAMP runtime.

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1. 1. Control Loop Instance

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1. 1. Removal from Participants: A user can order the removal of a Control Loop Instance from participants. The post condition for an execution of this capability is that the Control Loop instance is removed from Participants.
   2. Control Loop Instance Deletion: A user can order the removal of a Control Loop Instance from the CLAMP runtime. Control Loop Instances that are instantiated on participants cannot be removed from the CLAMP runtime. The post condition for an execution of this capability is that the Control Loop instance is removed from Instantiated Control Loop Inventory.
2. Control Loop Decommissioning. This capability allows version controlled Control Loop Type definitions to be removed from the Commissioned Control Loop Inventory. A Control Loop Definition that has instances in the Instantiated Control Loop Inventory cannot be removed. The post condition for an execution of this capability is that the Control Loop Type definition removed from the Commissioned Control Loop Inventory.

Note that the system dialogues for run time capabilities are described in detail on the System Level Dialogues page.

2.1 Control Loop Instance States

When a control loop definition has been commissioned, instances of the control loop can be created, updated, and deleted. The system manages the lifecycle of control loops and control loop elements following the state transition diagram below.

3 Overall Target Architecture

The diagram below shows an overview of the architecture of TOSCA based Control Loop Management in CLAMP.

Following the ONAP Reference Architecture, the architecture has a Design Time part and a Runtime part.

The Design Time part of the architecture allows a user to specify metadata for participants. It also allows users to compose control loops. The Design Time Catalogue contains the metadata primitives and control loop definition primitives for composition of control loops. As shown in the figure above, the Design Time component provides a system where Control Loops can be designed and defined in metadata. This means that a Control Loop can have any arbitrary structure and the Control Loop developers can use whatever analytic, policy, or control participants they like to implement their Control Loop. At composition time, the user parameterises the Control Loop and stores it in the design time catalogue. This catalogue contains the primitive metadata for any participants that can be used to compose a Control Loop. A Control Loop SDK is used to compose a Control Loop by aggregating the metadata for the participants chosen to be used in a Control Loop and by constructing the references between the participants. The architecture of the Control Loop Design Time part will be elaborated in future releases.

Composed Control Loops are commissioned on the run time part of the system, where they are stored in the Commissioned Control Loop inventory and are available for instantiation. The Commissioning component provides a CRUD REST interface for Control Loop Types, and implements CRUD of Control Loop Types. Commissioning also implements validation and persistence of incoming Control Loop Types. It also guarantees the integrity of updates and deletions of Control Loop Types, such as performing updates accordance with semantic versioning rules and ensuring that deletions are not allowed on Control Loop Types that have instances defined.

The Instantiation component manages the Life Cycle Management of Control Loop Instances and their Control Loop Elements. It publishes a REST interface that is used to create Control Loop Instances and set values for Common and Instance Specific properties. This REST interface is public and is used by the CLAMP GUI. It may also be used by any other client via the public REST interface. the REST interface also allows the state of Control Loop Instances to be changed. A user can change the state of Control Loop Instances as described in the state transition diagram shown in section 2 above. The Instantiation component issues update and state change messages via DMaaP to participants so that they can update and mange the state of the Control Loop Elements they are responsible for. The Instantiation component also implements persistence of Control Loop Instances, control loop elements, and their state changes.

The Monitoring component reads updates sent by participants. Participants report on the state of their Control Loop Elements periodically and in response to a message they have received from the Instantiation component. The Monitoring component reads the contents of the participant messages and persists their state updates and statistics records. It also publishes a REST interface that publishes the current state of all Participants, Control Loop Instances and their Control Loop Elements, as well as publishing Participant and Control Loop statistics.

The Supervision component is responsible for checking that Control Loop Instances are correctly instantiated and are in the correct state (UNINITIALIZED/READY/RUNNING). It also handles timeouts and on state changes to Control Loop Instances, and retries and rolls back state changes where state changes failed.

A Participant is an executing component that partakes in control loops. More explicitly, a Participant is something that implements the Participant Instantiation and Participant Monitoring messaging protocol over DMaaP for Life Cycle management of Control Loop Elements. A Participant runs Control Loop Elements and manages and reports on their life cycle following the instructions it gets from the CLAMP runtime in messages delivered over DMaaP.

In the figure above, five participants are shown. A Configuration Persistence Participant manages Control Loop Elements that interact with the ONAP Configuration Persistence Service to store common data. The DCAE Participant runs Control Loop Elements that manage DCAE microservices. The Kubernetes Participant hosts the Control Loop Elements that are managing the life cycle of microservices in control loops that are in a Kubernetes ecosystem. The Policy Participant handles the Control Loop Elements that interact with the Policy Framework to manage policies for control loops. A Controller Participant such as the CDS Participant runs Control Loop Elements that load metadata and configure controllers so that they can partake in control loops. Any third party Existing System Participant can be developed to run Control Loop Elements that interact with any existing system (such as an operator's analytic, machine learning, or artificial intelligence system) so that those systems can partake in control loops.

4. Other Considerations

4.1 Management of Control Loop Instance Configurations

In order to keep management of versions of the configuration of control loop instances straightforward and easy to implement, the following version management scheme using semantic versioning is implemented. Each configuration of a Control Loop Instance and configuration of a Control Loop Element has a semantic version with 3 digits indicating the major.minor.patch number of the version.

Note that a configuration means a full set of parameter values for a Control Loop Instance.

Change constraints:

1. A Control Loop or Control Loop Element in state RUNNING can be changed to a higher patch level or rolled back to a lower patch level. This means that hot changes that do not impact the structure of a Control Loop or its elements can be executed.
2. A Control Loop or Control Loop Element in state PASSIVE can be changed to a higher minor/patch level or rolled back to a lower minor/patch level. This means that structural changes to Control Loop Elements that do not impact the Control Loop as a whole can be executed by taking the control loop to state PASSIVE.
3. A Control Loop or Control Loop Element in state UNINITIALIZED can be changed to a higher major/minor/patch level or rolled back to a lower major/minor/patch level. This means that where the structure of the entire control loop is changed, the control loop must be uninitialized and reinitialized.
4. If a Control Loop Element has a minor version change, then its Control Loop Instance must have at least a minor version change.
5. If a Control Loop Element has a major version change, then its Control Loop Instance must have a major version change.

4.2 Scalability

The system is designed to be inherently scalable. The CLAMP runtime is stateless, all state is preserved in the Instantiated Control Loop inventory in the database. When the user requests an operation such as an instantiation, activation, passivation, or an uninitialization on a Control Loop Instance, the CLAMP runtime broadcasts the request to participants over DMaaP and saves details of the request to the database. The CLAMP runtime does not directly wait for responses to requests.

When a request is broadcast on DMaaP, the request is asynchronously picked up by participants of the types required for the Control Loop Instance and those participants manage the life cycle of its control loop elements. Periodically, each participant reports back on the status of operations it has picked up for the Control Loop Elements it controls, together with statistics on the Control Loop Elements over DMaaP. On reception of these participant messages, the CLAMP runtime stores this information to its database.

The participant to use on a control loop can be selected from the registered participants in either of two ways:

1. Runtime-side Selection: The CLAMP runtime selects a suitable participant from the list of participants and sends the participant ID that should be used in the Participant Update message. In this case, the CLAMP runtime decides on which participant will run the Control Loop Element based on a suitable algorithm. Algorithms could be round robin based or load based.
2. Participant-side Selection: The CLAMP runtime sends a list of Participant IDs that may be used in the Participant Update message. In this case, the candidate participants decide among themselves which participant should host the Control Loop Element.

This approach makes it easy to scale Control Loop life cycle management. As Control Loop Instance counts increase, more than one CLAMP runtime can be deployed and REST/supervision operations on Control Loop Instances can run in parallel. The number of participants can scale because an asynchronous broadcast mechanism is used for runtime-participant communication and there is no direct connection or communication channel between participants and CLAMP runtime servers. Participant state, Control Loop Instance state, and Control Loop Element state is held in the database, so any CLAMP runtime server can handle operations for any participant. Because many participants of a particular type can be deployed and participant instances can load balance control loop element instances for different Control Loop Instances of many types across themselves using a mechanism such as a Kubernetes cluster.

4.3 Sandboxing and API Gateway Support

At runtime, interaction between ONAP platform services and application microservices are relatively unconstrained, so interactions between Control Loop Elements for a given Control Loop Instance remain relatively unconstrained. A proposal to support access-controlled access to and between ONAP services will improve this. This can be complemented by intercepting and controlling services accesses between Control Loop Elements for Control Loop Instances for some/all Control Loop types.

API gateways such as Kong have emerged as a useful technology for exposing and controlling service endpoint access for applications and services. When a Control Loop Type is onboarded, or when Control Loop Instances are created in the Participants, CLAMP can configure service endpoints between Control Loop Elements to redirect through an API Gateway.

Authentication and access-control rules can then be dynamically configured at the API gateway to support constrained access between Control Loop Elements and Control Loop Instances.

The diagram below shows the approach for configuring API Gateway access at Control Loop Instance and Control Loop Element level.

At design time, the Control Loop type definition specifies the type of API gateway configuration that should be supported at Control Loop and Control Loop Element levels.

At runtime, the CLAMP can configure the API gateway to enable (or deny) interactions between Control Loop Instances and individually for each Control Loop Element. All service-level interactions in/out of a Control Loop Element, except that to/from the API Gateway, can be blocked by networking policies, thus sandboxing a Control Loop Element and an entire Control Loop Instance if desired. Therefore, a Control Loop Element will only have access to the APIs that are configured and enabled for the Control Loop Element/Instance in the API gateway.

For some Control Loop Element Types the Participant can assist with service endpoint reconfiguration, service request/response redirection to/from the API Gateway, or annotation of requests/responses.

Once the Control Loop instance is instantiated on participants, the participants configure the API gateway with the Control Loop Instance level configuration and with the specific configuration for their Control Loop Element.

Monitoring and logging of the use of the API gateway may also be provided. Information and statistics on API gateway use can be read from the API gateway and passed back in monitoring messages to the CLAMP runtime.

Additional isolation and execution-environment sandboxing can be supported depending on the Control Loop Element Type. For example: ONAP policies for given Control Loop Instances/Types can be executed in a dedicated PDP engine instances; DCAE or K8S-hosted services can executed in isolated namespaces or in dedicated workers/clusters; etc..

When a control loop definition has been commissioned, instances of the control loop can be created, updated, and deleted. The system manages the lifecycle of control loops and control loop elements following the state transition diagram below.

3 Overall Target Architecture

The diagram below shows an overview of the architecture of TOSCA based Control Loop Management in CLAMP.

Following the ONAP Reference Architecture, the architecture has a Design Time part and a Runtime part.

The Design Time part of the archtiecture allows a user to specify metadata for participants. It also allows users to compose control loops. The Design Time Catalogue contains the metadata primitives and control loop definition primitives for composition of control loops. As shown in the figure above, the Design Time component provides a system where Control Loops can be designed and defined in metadata. This means that a Control Loop can have any arbitrary structure and the Control Loop developers can use whatever analytic, policy, or control participants they like to implement their Control Loop. At composition time, the user parameterises the Control Loop and stores it in the design time catalogue. This catalogue contains the primitive metadata for any participants that can be used to compose a Control Loop. A Control Loop SDK is used to compose a Control Loop by aggregating the metadata for the participants chosen to be used in a Control Loop and by constructing the references between the participants. The architecture of the Control Loop Design Time part will be elaborated in future releases.

Composed Control Loops are commissioned on the run time part of the system, where they are stored in the Commissioned Control Loop inventory and are available for instantiation. The Commissioning component provides a CRUD REST interface for Control Loop Types, and implements CRUD of Control Loop Types. Commissioning also implements validation and persistence of incoming Control Loop Types. It also guarantees the integrity of updates and deletions of Control Loop Types, such as performing updates accordance with semantic versioning rules and ensuring that deletions are not allowed on Control Loop Types that have instances defined.

The Instantiation component manages the Life Cycle Management of Control Loop Instances and their Control Loop Elements. It publishes a REST interface that is used to create Control Loop Instances and set values for Common and Instance Specific properties. This REST interface is public and is used by the CLAMP GUI. It may also be used by any other client via the public REST interface. the REST interface also allows the state of Control Loop Instances to be changed. A user can change the state of Control Loop Instances as described in the state transition diagram shown in section 2 above. The Instantiation component issues update and state change messages via DMaaP to participants so that they can update and mange the state of the Control Loop Elements they are responsible for. The Instantiation component also implements persistence of Control Loop Instances, control loop elements, and their state changes.

The Monitoring component reads updates sent by participants. Participants report on the state of their Control Loop Elements periodically and in response to a message they have received from the Instantiation component. The Monitoring component reads the contents of the participant messages and persists their state updates and statistics records. It also publishes a REST interface that publishes the current state of all Participants, Control Loop Instances and their Control Loop Elements, as well as publishing Participant and Control Loop statistics.

The Supervision component is responsible for checking that Control Loop Instances are correctly instantiated and are in the correct state (UNINITIALIZED/READY/RUNNING). It also handles timeouts and on state changes to Control Loop Instances, and retries and rolls back state changes where state changes failed.

A Participant is an executing component that partakes in control loops. More explicitly, a Participant is something that implements the Participant Instantiation and Participant Monitoring messaging protocol over DMaaP for Life Cycle management of Control Loop Elements. A Participant runs Control Loop Elements and manages and reports on their life cycle following the instructions it gets from the CLAMP runtime in messages delivered over DMaaP.

In the figure above, five participants are shown. A Configuration Perisistence Participant manages Control Loop Elements that interact with the ONAP Configuration Persistence Service to store common data. The DCAE Participant runs Control Loop Elements that manage DCAE microservices. The Kubernetes Participant hosts the Control Loop Elements that are managing the life cycle of microservices in control loops that are in a Kubernetes ecosystem. The Policy Participant handles the Control Loop Elements that interact with the Policy Framework to manage policies for control loops. A Controller Participant such as the CDS Participant runs Control Loop Elements that load metadata and configure controllers so that they can partake in control loops. Any third party Existing System Participant can be developed to run Control Loop Elements that interact with any existing system (such as an operator's analytic, machine learning, or artificial intelligence system) so that those systems can partake in control loops.

4. Life Cycle Management Operations

4.1 Control Loop Version Management

Performing a hot change of a Control Loop Instance at run time is a particularly challenging issue because a change must handle the following cases without tearing down the Control Loop:

• Changes of the configuration data of Control Loop Instances
• Coping with changes in Control Loop Definitions

In order to keep version management straightforward and easy to implement, the following version management scheme using semantic versioning is implemented. Each Control Loop Instance and Control Loop Element has a semantic version with 3 digits indicating the major.minor.patch number of the version.

Change constraints:

1. A Control Loop or Control Loop Element in state RUNNING can be changed to a higher patch level or rolled back to a lower patch level. This means that hot changes that do not impact the structure of a Control Loop or its elements can be executed.
2. A Control Loop or Control Loop Element in state PASSIVE can be changed to a higher minor/patch level or rolled back to a lower minor/patch level. This means that structural changes to Control Loop Elements that do not impact the Control Loop as a whole can be executed by taking the control loop to state PASSIVE.
3. A Control Loop or Control Loop Element in state UNINITIALIZED can be changed to a higher major/minor/patch level or rolled back to a lower major/minor/patch level. This means that where the structure of the entire control loop is changed, the control loop must be uninitialized and reinitialized.
4. If a Control Loop Element has a minor version change, then its Control Loop Instance must have at least a minor version change.
5. If a Control Loop Element has a major version change, then its Control Loop Instance must have a major version change.

4.2 Scalability

The system is designed to be inherently scalable. The CLAMP runtime is stateless, all state is preserved in the Instantiated Control Loop inventory in the database. When the user requests an operation such as an instantiation, activation, passivation, or an uninitialization on a Control Loop Instance, the CLAMP runtime broadcasts the request to participants over DMaaP and saves details of the request to the database. The CLAMP runtime does not directly wait for responses to requests.

When a request is broadcast on DMaaP, the request is asynchronously picked up by participants of the types required for the Control Loop Instance and those participants manage the life cycle of its control loop elements. Periodically, each participant reports back on the status of operations it has picked up for the Control Loop Elements it controls, together with statistics on the Control Loop Elements over DMaaP. On reception of these participant messages, the CLAMP runtime stores this information to its database.

The CLAMP runtime periodically runs a supervision function, which checks the status of all existing Control Loop Instances and the status of outstanding requests. It builds a picture of the current status of each Control Loop Instance from the reports on the elements of the Control Loop Instances. Once the CLAMP runtime has a full picture, it checks that each Control Loop Instance is in the correct state as requested by the user of the system. If a Control Loop Instance is not in the correct state, the supervision function can initiate actions such as performing retries on operations or issuing alarms or notifications on that Control Loop Instance.

This approach makes it easy to scale Control Loop life cycle management. As Control Loop Instance counts increase, more than one CLAMP runtime can be deployed and REST/supervision operations on Control Loop Instances can run in parallel. The number of participants can scale because an asynchronous broadcast mechanism is used for runtime-participant communication and there is no direct connection or communication channel between participants and CLAMP runtime servers. Participant state, Control Loop Instance state, and Control Loop Element state is held in the database, so any CLAMP runtime server can handle operations for any participant. Because many participants of a particular type can be deployed and participant instances can load balance control loop element instances for different Control Loop Instances of many types across themselves using a mechanism such as a Kubernetes cluster.

4.3 API Gateway Support

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5 APIs and Protocols

The APIs and Protocols used by CLAMP for Control Loops are described on the pages below:

1. System Level Dialogues
2. Defining Control Loops in TOSCA for CLAMP
3. REST APIs for CLAMP Control LoopsAutomation Composition
4. The CLAMP Control Loop Automation Composition Participant Protocol

6 Design and Implementation

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