Adding apex-pdp & distribution documents to parent

Change-Id: If8039f68a1669787685d4a7bdc37dec203901062
Issue-ID: POLICY-1898
Signed-off-by: ramverma <ram.krishna.verma@est.tech>

1 files changed, 545 insertions, 0 deletions

diff --git a/docs/apex/APEX-Introduction.rst b/docs/apex/APEX-Introduction.rst
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+.. This work is licensed under a Creative Commons Attribution 4.0 International License.
+.. http://creativecommons.org/licenses/by/4.0
+
+
+A short Introduction to APEX
+*****************************
+
+.. contents::
+    :depth: 3
+
+Introduction to APEX
+^^^^^^^^^^^^^^^^^^^^
+
+      .. container:: sectionbody
+
+         .. container:: paragraph
+
+            APEX stand for Adaptive Policy EXecution. It is a
+            lightweight engine for execution of policies. APEX allows
+            you to specify logic as a policy, logic that you can adapt
+            on the fly as your system executes. The APEX policies you
+            design can be really simple, with a single snippet of logic,
+            or can be very complex, with many states and tasks. APEX
+            policies can even be designed to self-adapt at execution
+            time, the choice is yours!
+
+         .. container:: imageblock
+
+            .. container:: content
+
+               |Simple APEX Overview|
+
+            .. container:: title
+
+               Figure 1. Simple APEX Overview
+
+         .. container:: paragraph
+
+            The Adaptive Policy Engine in APEX runs your policies. These
+            policies are triggered by incoming events. The logic of the
+            policies executes and produces a response event. The
+            *Incoming Context* on the incoming event and the *Outgoing
+            Context* on the outgoing event are simply the fields and
+            attributes of the event. You design the policies that APEX
+            executes and the trigger and action events that your
+            policies accept and produce. Events are fed in and sent out
+            as JSON or XML events over Kafka, a Websocket, a file or
+            named pipe, or even standard input. If you run APEX as a
+            library in your application, you can even feed and receive
+            events over a Java API.
+
+         .. container:: imageblock
+
+            .. container:: content
+
+               |APEX States and Context|
+
+            .. container:: title
+
+               Figure 2. APEX States and Context
+
+         .. container:: paragraph
+
+            You design your policy as a chain of states, with each state
+            being fed by the state before. The simplest policy can have
+            just one state. We provide specific support for the
+            four-state `MEDA (Match Establish Decide
+            Act) <https://www.researchgate.net/publication/303564082_Apex_An_Engine_for_Dynamic_Adaptive_Policy_Execution>`__
+            policy state model and the three-state `ECA (Event Condition
+            Action) <https://en.wikipedia.org/wiki/Event_condition_action>`__
+            policy state model. APEX is fully distributed. You can
+            decide how many APEX engine instances to run for your
+            application and on which real or virtual hosts to run them.
+
+         .. container:: paragraph
+
+            In APEX, you also have control of the *Context* used by your
+            policies. Context is simply the state information and data
+            used by your policies. You define what context your policies
+            use and what the scope of that context is. *Policy Context*
+            is private to a particular policy and is accessible only to
+            whatever APEX engines are running that particular policy.
+            *Global Context* is available to all policies. *External
+            Context* is read-only context such as weather or topology
+            information that is provided by other systems. APEX keeps
+            context coordinated across all the the instances running a
+            particular policy. If a policy running in an APEX engine
+            changes the value of a piece of context, that value is is
+            available to all other APEX engines that use that piece of
+            context. APEX takes care of distribution, locking, writing
+            of context to persistent storage, and monitoring of context.
+
+         .. container:: imageblock
+
+            .. container:: content
+
+               |The APEX Eco-System|
+
+            .. container:: title
+
+               Figure 3. The APEX Eco-System
+
+         .. container:: paragraph
+
+            The APEX engine (AP-EN) is available as a Java library for
+            inclusion in your application, as a microservice running in
+            a Docker container, or as a stand-alone service available
+            for integration into your system. APEX also includes a
+            policy editor (AP-AUTH) that allows you to design your
+            policies and a web-based policy management console you use
+            to deploy policies and to keep track of the state of
+            policies and context in policies. Context handling (AP-CTX)
+            is integrated into the APEX engine and policy deployment
+            (AP-DEP) is provided as a servlet running under a web
+            framework such as `Apache
+            Tomcat <http://tomcat.apache.org/>`__.
+
+APEX Configuration
+^^^^^^^^^^^^^^^^^^
+
+      .. container:: sectionbody
+
+         .. container:: paragraph
+
+            An APEX engine can be configured to use various combinations
+            of event input handlers, event output handlers, event
+            protocols, context handlers, and logic executors. The system
+            is build using a plugin architecture. Each configuration
+            option is realized by a plugin, which can be loaded and
+            configured when the engine is started. New plugins can be
+            added to the system at any time, though to benefit from a
+            new plugin an engine will need to be restarted.
+
+         .. container:: imageblock
+
+            .. container:: content
+
+               |APEX Configuration Matrix|
+
+            .. container:: title
+
+               Figure 4. APEX Configuration Matrix
+
+         .. container:: paragraph
+
+            The APEX distribution already comes with a number of
+            plugins. The figure above shows the provided plugins. Any
+            combination of input, output, event protocol, context
+            handlers, and executors is possible.
+
+APEX Policy Matrix
+^^^^^^^^^^^^^^^^^^
+
+      .. container:: sectionbody
+
+         .. container:: paragraph
+
+            APEX offers a lot of flexibility for defining, deploying,
+            and executing policies. Based on a theoretic model, it
+            supports virtually any policy model and allows to translate
+            legacy policies into the APEX execution format. However, the
+            most important aspect for using APEX is to decide what
+            policy is needed, what underlying policy concepts should be
+            used, and how the decision logic should be realized. Once
+            these aspects are decided, APEX can be used to execute the
+            policies. If the policy evolves, say from a simple decision
+            table to a fully adaptable policy, only the policy
+            definition requires change. APEX supports all of that.
+
+         .. container:: paragraph
+
+            The figure below shows a (non-exhaustive) matrix, which will
+            help to decide what policy is required to solve your
+            problem. Read the matrix from left to right choosing one
+            cell in each column.
+
+         .. container:: imageblock
+
+            .. container:: content
+
+               |APEX Policy Matrix|
+
+            .. container:: title
+
+               Figure 5. APEX Policy Matrix
+
+         .. container:: paragraph
+
+            The policy can support one of a number of stimuli with an
+            associated purpose/model of the policy, for instance:
+
+         .. container:: ulist
+
+            -  Configuration, i.e. what should happen. An example is an
+               event that states an intended network configuration and
+               the policy should provide the detailed actions for it.
+               The policy can be realized for instance as an obligation
+               policy, a promise or an intent.
+
+            -  Report, i.e. something did happen. An example is an event
+               about an error or fault and the policy needs to repair
+               that problem. The policy would usually be an obligation,
+               utility function, or goal policy.
+
+            -  Monitoring, i.e. something does happen. An example is a
+               notification about certain network conditions, to which
+               the policy might (or might not) react. The policy will
+               mitigate the monitored events or permit (deny) related
+               actions as an obligation or authorization.
+
+            -  Analysis, i.e. why did something happen. An example is an
+               analytic component sends insights of a situation
+               requiring a policy to act on it. The policy can solve the
+               problem, escalate it, or delegate it as a refrain or
+               delegation policy.
+
+            -  Prediction, i.e. what will happen next. An example are
+               events that a policy uses to predict a future network
+               condition. The policy can prevent or enforce the
+               prediction as an adaptive policy, a utility function, or
+               a goal.
+
+            -  Feedback, i.e. why did something happen or not happen.
+               Similar to analysis, but here the feedback will be in the
+               input event and the policy needs to something with that
+               information. Feedback can be related to history or
+               experience, for instance a previous policy execution. The
+               policy needs to be context-aware or be a meta-policy.
+
+         .. container:: paragraph
+
+            Once the purpose of the policy is decided, the next step is
+            to look into what context information the policy will
+            require to do its job. This can range from very simple to a
+            lot of different information, for instance:
+
+         .. container:: ulist
+
+            -  No context, nothing but a trigger event, e.g. a string or
+               a number, is required
+
+            -  Event context, the incoming event provides all
+               information (more than a string or number) for the policy
+
+            -  Policy context (read only), the policy has access to
+               additional information related to its class but cannot
+               change/alter them
+
+            -  Policy context (read and write), the policy has access to
+               additional information related to its class and can alter
+               this information (for instance to record historic
+               information)
+
+            -  Global context (read only), the policy has access to
+               additional information of any kind but cannot
+               change/alter them
+
+            -  Global context (read and write), the policy the policy
+               has access to additional information of any kind and can
+               alter this information (for instance to record historic
+               information)
+
+         .. container:: paragraph
+
+            The next step is to decide how the policy should do its job,
+            i.e. what flavor it has, how many states are needed, and how
+            many tasks. There are many possible combinations, for
+            instance:
+
+         .. container:: ulist
+
+            -  Simple / God: a simple policy with 1 state and 1 task,
+               which is doing everything for the decision-making. This
+               is the ideal policy for simple situation, e.g. deciding
+               on configuration parameters or simple access control.
+
+            -  Simple sequence: a simple policy with a number of states
+               each having a single task. This is a very good policy for
+               simple decision-making with different steps. For
+               instance, a classic action policy (ECA) would have 3
+               states (E, C, and A) with some logic (1 task) in each
+               state.
+
+            -  Simple selective: a policy with 1 state but more than one
+               task. Here, the appropriate task (and it’s logic) will be
+               selected at execution time. This policy is very good for
+               dealing with similar (or the same) situation in different
+               contexts. For instance, the tasks can be related to
+               available external software, or to current work load on
+               the compute node, or to time of day.
+
+            -  Selective: any number of states having any number of
+               tasks (usually more than 1 task). This is a combination
+               of the two policies above, for instance an ECA policy
+               with more than one task in E, C, and A.
+
+            -  Classic directed: a policy with more than one state, each
+               having one task, but a non-sequential execution. This
+               means that the sequence of the states is not pre-defined
+               in the policy (as would be for all cases above) but
+               calculated at runtime. This can be good to realize
+               decision trees based on contextual information.
+
+            -  Super Adaptive: using the full potential of the APEX
+               policy model, states and tasks and state execution are
+               fully flexible and calculated at runtime (per policy
+               execution). This policy is very close to a general
+               programming system (with only a few limitations), but can
+               solve very hard problems.
+
+         .. container:: paragraph
+
+            The final step is to select a response that the policy
+            creates. Possible responses have been discussed in the
+            literature for a very long time. A few examples are:
+
+         .. container:: ulist
+
+            -  Obligation (deontic for what should happen)
+
+            -  Authorization (e.g. for rule-based or other access
+               control or security systems)
+
+            -  Intent (instead of providing detailed actions the
+               response is an intent statement and a further system
+               processes that)
+
+            -  Delegation (hand the problem over to someone else,
+               possibly with some information or instructions)
+
+            -  Fail / Error (the policy has encountered a problem, and
+               reports it)
+
+            -  Feedback (why did the policy make a certain decision)
+
+Flexible Deployment
+^^^^^^^^^^^^^^^^^^^
+
+      .. container:: sectionbody
+
+         .. container:: paragraph
+
+            APEX can be deployed in various ways. The following figure
+            shows a few of these deployment options. Engine and (policy)
+            executors are named UPe (universal policy engine, APEX
+            engine) and UPx (universal policy executor, the APEX
+            internal state machine executor).
+
+         .. container:: imageblock
+
+            .. container:: content
+
+               |APEX Deployment Options|
+
+            .. container:: title
+
+               Figure 6. APEX Deployment Options
+
+         .. container:: olist loweralpha
+
+            a. For an interface or class
+
+               .. container:: ulist
+
+                  -  Either UPx or UPe as association
+
+            b. For an application
+
+               .. container:: ulist
+
+                  -  UPx as object for single policies
+
+                  -  UPe as object for multiple policies
+
+            c. For a component (as service)
+
+               .. container:: ulist
+
+                  -  UPe as service for requests
+
+                  -  UPec as service for requests
+
+            d. As a service (PolaS)
+
+               .. container:: ulist
+
+                  -  One or more UPe with service i/f
+
+                  -  One or more Upec/UPec with service i/f
+
+                  -  One or more Upec/UPec with service i/f
+
+            e. In a control loop
+
+               .. container:: ulist
+
+                  -  UPe as decision making part
+
+                  -  UPec as decision making part
+
+            f. On cloud compute nodes
+
+               .. container:: ulist
+
+                  -  Nodes with only UPe or Upec
+
+                  -  Nodes with any combination of UPe, UPec
+
+            g. A cloud example
+
+               .. container:: ulist
+
+                  -  Left: 2 UPec managing several UPe on different
+                     cloud nodes
+
+                  -  Right: 2 large UPec with different UPe/UPec
+                     deployments
+
+Flexible Clustering
+^^^^^^^^^^^^^^^^^^^
+
+      .. container:: sectionbody
+
+         .. container:: paragraph
+
+            APEX can be clustered in various ways. The following figure
+            shows a few of these clustering options. Cluster, engine and
+            (policy) executors are named UPec (universal policy
+            cluster), UPe (universal policy engine, APEX engine) and UPx
+            (universal policy executor, the APEX internal state machine
+            executor).
+
+         .. container:: imageblock
+
+            .. container:: content
+
+               |APEX Clustering Options|
+
+            .. container:: title
+
+               Figure 7. APEX Clustering Options
+
+         .. container:: olist loweralpha
+
+            a. Single source/target, single UPx
+
+               .. container:: ulist
+
+                  -  Simple forward
+
+            b. Multiple sources/targets, single UPx
+
+               .. container:: ulist
+
+                  -  Simple forward
+
+            c. Single source/target, multiple UPx
+
+               .. container:: ulist
+
+                  -  Multithreading (MT) in UPe
+
+            d. Multiple sources/targets, multiple UPx instances
+
+               .. container:: ulist
+
+                  -  Simple forward & MT in UPe
+
+            e. Multiple non-MT UPe in UPec
+
+               .. container:: ulist
+
+                  -  Simple event routing
+
+            f. Multiple MT UPe in UPec
+
+               .. container:: ulist
+
+                  -  Simple event routing
+
+            g. Mixed UPe in UPec
+
+               .. container:: ulist
+
+                  -  Simple event routing
+
+            h. Multiple non-MT UPec in UPec
+
+               .. container:: ulist
+
+                  -  Intelligent event routing
+
+            i. Multiple mixed UPec in UPec
+
+               .. container:: ulist
+
+                  -  Intelligent event routing
+
+         .. container:: olist loweralpha
+
+            k. Mix of UPec in multiple UPec
+
+               .. container:: ulist
+
+                  -  External intelligent event routing
+
+                  -  Optimized with UPec internal routing
+
+Resources
+^^^^^^^^^
+
+      .. container:: sectionbody
+
+         .. container:: ulist
+
+            -  APEX Documentation hosted on Github:
+               https://ericsson.github.io/apex-docs
+
+            -  APEX source code repository hosted by ONAP:
+               https://gerrit.onap.org/r/#/admin/projects/policy/apex-pdp
+
+            -  Issue Management (source and documentation, ONAP JIRA,
+               requires a Linux Foundation ID):
+               https://jira.onap.org/projects/POLICY/issues
+
+            -  List of APEX publications:
+               https://ericsson.github.io/apex-docs/apex-publications.html
+
+.. container::
+   :name: footer
+
+   .. container::
+      :name: footer-text
+
+      2.0.0-SNAPSHOT
+      Last updated 2018-09-04 16:04:24 IST
+
+.. |Simple APEX Overview| image:: images/apex-intro/ApexSimple.png
+.. |APEX States and Context| image:: images/apex-intro/ApexStatesAndContext.png
+.. |The APEX Eco-System| image:: images/apex-intro/ApexEcosystem.png
+.. |APEX Configuration Matrix| image:: images/apex-intro/ApexEngineConfig.png
+.. |APEX Policy Matrix| image:: images/apex-intro/ApexPolicyMatrix.png
+.. |APEX Deployment Options| image:: images/apex-intro/UpeeDeploymentOptions.png
+.. |APEX Clustering Options| image:: images/apex-intro/UpeeClusterOptions.png
+