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diff --git a/src/site-docs/adoc/fragments/apex-intro/configuration-matrix.adoc b/src/site-docs/adoc/fragments/apex-intro/configuration-matrix.adoc deleted file mode 100644 index c82b2aa41..000000000 --- a/src/site-docs/adoc/fragments/apex-intro/configuration-matrix.adoc +++ /dev/null @@ -1,31 +0,0 @@ -// -// ============LICENSE_START======================================================= -// Copyright (C) 2016-2018 Ericsson. All rights reserved. -// ================================================================================ -// This file is licensed under the CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE -// Full license text at https://creativecommons.org/licenses/by/4.0/legalcode -// -// SPDX-License-Identifier: CC-BY-4.0 -// ============LICENSE_END========================================================= -// -// @author Sven van der Meer (sven.van.der.meer@ericsson.com) -// - -== APEX Configuration - -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. - -.APEX Configuration Matrix -image::apex-intro/ApexEngineConfig.png[APEX Configuration Matrix] - -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. diff --git a/src/site-docs/adoc/fragments/apex-intro/introduction.adoc b/src/site-docs/adoc/fragments/apex-intro/introduction.adoc deleted file mode 100644 index b936ef51b..000000000 --- a/src/site-docs/adoc/fragments/apex-intro/introduction.adoc +++ /dev/null @@ -1,57 +0,0 @@ -// -// ============LICENSE_START======================================================= -// Copyright (C) 2016-2018 Ericsson. All rights reserved. -// ================================================================================ -// This file is licensed under the CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE -// Full license text at https://creativecommons.org/licenses/by/4.0/legalcode -// -// SPDX-License-Identifier: CC-BY-4.0 -// ============LICENSE_END========================================================= -// -// @author Sven van der Meer (sven.van.der.meer@ericsson.com) -// - -== Introduction to APEX - -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! - -.Simple APEX Overview -image::apex-intro/ApexSimple.png[Simple APEX Overview] - -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. - -.APEX States and Context -image::apex-intro/ApexStatesAndContext.png[APEX States and Context] - -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 link:https://www.researchgate.net/publication/303564082_Apex_An_Engine_for_Dynamic_Adaptive_Policy_Execution[MEDA (Match Establish Decide Act)] policy state model and the three-state link:https://en.wikipedia.org/wiki/Event_condition_action[ECA (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. - -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. - -.The APEX Eco-System -image::apex-intro/ApexEcosystem.png[The APEX Eco-System] - -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 link:http://tomcat.apache.org/[Apache Tomcat]. diff --git a/src/site-docs/adoc/fragments/apex-intro/policy-matrix.adoc b/src/site-docs/adoc/fragments/apex-intro/policy-matrix.adoc deleted file mode 100644 index b3c626522..000000000 --- a/src/site-docs/adoc/fragments/apex-intro/policy-matrix.adoc +++ /dev/null @@ -1,90 +0,0 @@ -// -// ============LICENSE_START======================================================= -// Copyright (C) 2016-2018 Ericsson. All rights reserved. -// ================================================================================ -// This file is licensed under the CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE -// Full license text at https://creativecommons.org/licenses/by/4.0/legalcode -// -// SPDX-License-Identifier: CC-BY-4.0 -// ============LICENSE_END========================================================= -// -// @author Sven van der Meer (sven.van.der.meer@ericsson.com) -// - -== APEX Policy Matrix - -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. - -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. - -.APEX Policy Matrix -image::apex-intro/ApexPolicyMatrix.png[APEX Policy Matrix] - -The policy can support one of a number of stimuli with an associated purpose/model of the policy, for instance: - -* 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. - -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: - -* 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) - -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: - -* 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. - -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: - -* 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) diff --git a/src/site-docs/adoc/fragments/apex-intro/resources.adoc b/src/site-docs/adoc/fragments/apex-intro/resources.adoc deleted file mode 100644 index 62ace92eb..000000000 --- a/src/site-docs/adoc/fragments/apex-intro/resources.adoc +++ /dev/null @@ -1,19 +0,0 @@ -// -// ============LICENSE_START======================================================= -// Copyright (C) 2016-2018 Ericsson. All rights reserved. -// ================================================================================ -// This file is licensed under the CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE -// Full license text at https://creativecommons.org/licenses/by/4.0/legalcode -// -// SPDX-License-Identifier: CC-BY-4.0 -// ============LICENSE_END========================================================= -// -// @author Sven van der Meer (sven.van.der.meer@ericsson.com) -// - -== Resources - -* APEX Documentation hosted on Github: link:https://ericsson.github.io/apex-docs[] -* APEX source code repository hosted by ONAP: link:https://gerrit.onap.org/r/#/admin/projects/policy/apex-pdp[] -* Issue Management (source and documentation, ONAP JIRA, requires a Linux Foundation ID): link:https://jira.onap.org/projects/POLICY/issues[] -* List of APEX publications: link:https://ericsson.github.io/apex-docs/apex-publications.html[] diff --git a/src/site-docs/adoc/fragments/apex-intro/upee-clustering.adoc b/src/site-docs/adoc/fragments/apex-intro/upee-clustering.adoc deleted file mode 100644 index 1ce6142ad..000000000 --- a/src/site-docs/adoc/fragments/apex-intro/upee-clustering.adoc +++ /dev/null @@ -1,46 +0,0 @@ -// -// ============LICENSE_START======================================================= -// Copyright (C) 2016-2018 Ericsson. All rights reserved. -// ================================================================================ -// This file is licensed under the CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE -// Full license text at https://creativecommons.org/licenses/by/4.0/legalcode -// -// SPDX-License-Identifier: CC-BY-4.0 -// ============LICENSE_END========================================================= -// -// @author Sven van der Meer (sven.van.der.meer@ericsson.com) -// - -== Flexible Clustering - -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). - -.APEX Clustering Options -image::apex-intro/UpeeClusterOptions.png[APEX Clustering Options] - -[loweralpha] -. Single source/target, single UPx - * Simple forward -. Multiple sources/targets, single UPx - * Simple forward -. Single source/target, multiple UPx - * Multithreading (MT) in UPe -. Multiple sources/targets, multiple UPx instances - * Simple forward & MT in UPe -. Multiple non-MT UPe in UPec - * Simple event routing -. Multiple MT UPe in UPec - * Simple event routing -. Mixed UPe in UPec - * Simple event routing -. Multiple non-MT UPec in UPec - * Intelligent event routing -. Multiple mixed UPec in UPec - * Intelligent event routing - -["loweralpha", start=11] -. Mix of UPec in multiple UPec - * External intelligent event routing - * Optimized with UPec internal routing diff --git a/src/site-docs/adoc/fragments/apex-intro/upee-deployment.adoc b/src/site-docs/adoc/fragments/apex-intro/upee-deployment.adoc deleted file mode 100644 index 63608b836..000000000 --- a/src/site-docs/adoc/fragments/apex-intro/upee-deployment.adoc +++ /dev/null @@ -1,44 +0,0 @@ -// -// ============LICENSE_START======================================================= -// Copyright (C) 2016-2018 Ericsson. All rights reserved. -// ================================================================================ -// This file is licensed under the CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE -// Full license text at https://creativecommons.org/licenses/by/4.0/legalcode -// -// SPDX-License-Identifier: CC-BY-4.0 -// ============LICENSE_END========================================================= -// -// @author Sven van der Meer (sven.van.der.meer@ericsson.com) -// - -== Flexible Deployment - -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). - -.APEX Deployment Options -image::apex-intro/UpeeDeploymentOptions.png[APEX Deployment Options] - -[loweralpha] -. For an interface or class - * Either UPx or UPe as association -. For an application - * UPx as object for single policies - * UPe as object for multiple policies -. For a component (as service) - * UPe as service for requests - * UPec as service for requests -. As a service (PolaS) - * 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 -. In a control loop - * UPe as decision making part - * UPec as decision making part -. On cloud compute nodes - * Nodes with only UPe or Upec - * Nodes with any combination of UPe, UPec -. A cloud example - * Left: 2 UPec managing several UPe on different cloud nodes - * Right: 2 large UPec with different UPe/UPec deployments |