Declarative Policy Model
draft-bi-declarative-policy-01
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| Authors | Jun Bi , Qiong Sun , Chongfeng Xie , Yiyong Zha | ||
| Last updated | 2015-11-15 | ||
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draft-bi-declarative-policy-01
Network Working Group J. Bi
Internet Draft Tsinghua Univ.
Intended status: Standard Track Q. Sun
Expires: May 2016 C. Xie
China Telecom
Y. Zha
Huawei Technologies
November 13, 2015
Declarative Policy Model
draft-bi-declarative-policy-01
Abstract
This document describes a declarative (also called intent based) policy model
to describe the user's intent on network policy. The intent policy model is a
specific data model specifies the desired state of the network system. It helps
the service management in Simplified Use of Policy Abstractions (SUPA) to model
the policy (a set of states described by constraints) that defines the final
results of a VPN service without specifying how it is monitored and managed
during its lifecycle. One application for Distributed Data Center (DDC)
scenarios with policy enforcement is provided with details of how to convert
high level intent policy into lower level configurations.
Status of this Memo
This Internet-Draft is submitted in full conformance with the provisions of BCP
78 and BCP 79.
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This Internet-Draft will expire on May 13, 2015.
Copyright Notice
Copyright (c) 2014 IETF Trust and the persons identified as the document
authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal Provisions
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are provided without warranty as described in the Simplified BSD License.
Table of Contents
1. Introduction .......................................................... 2
2. Conventions used in this document ..................................... 3
3. Policy Based Service Management Framework.............................. 3
4. Declarative Policy Configuration Modules .............................. 4
4.1. Declarative Policy Framework ..................................... 4
4.2. Declarative Policy Model ......................................... 5
5. Declarative Policy Applications in DDC services ...................... 14
5.1. Policy Based Traffic Steering Case study ........................ 14
5.2. Declarative Policy Enforcement .................................. 19
6. Security Considerations .............................................. 20
7. IANA Considerations .................................................. 20
8. Acknowledgments ...................................................... 21
9. References............................................................ 21
9.1. Normative References ............................................ 21
9.2. Informative References .......................................... 21
1. Introduction
In order to support emerging DDC service with VPN connection as well as new
services, it brings new requirements on Policy based service management for
service providers. Instead of manual configuration of the network
infrastructures, policy based service management is achieved by using policies
that can be created by the operators once and the service management refers to
these policies to infer how a given service needs to be provisioned considering
the current state of the network.
With the general trend of NFV/SDN, network management and control is moving
from low level operation to high level decision making. Human to machine
communication is changing from imperative to declarative. In the other hand,
human intention will be more expressed by declarative policy.
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In SUPA framework, network policy consists of different layers with generic
policy on top while declarative policy and ECA (Event-Condition-Action) policy.
ECA policy is a predefined rule or a set of rules that the service management
use to map the service to the lower level network infrastructures as shown in
draft [draft-chen-supa-eca-data-model]. Oh the other hand, declarative policy
is higher level abstraction which only specifies the needs or the final state
of the system without knowing the low level network infrastructures. In this
way, the declarative policy defines the final state and the constraint for the
network behaviors.
Meanwhile, DDC service which is mainly relied on VPN [RFC4110] needs policy
based management and controlling capability from the service management systems
to facilitate the service deployment both inter data centers and within data
center.
This document introduces YANG [RFC6020] [RFC6021] data models for SUPA
configuration. Such models can facilitate the standardization for the
interface of SUPA, as they are compatible to a variety of protocols such as
NETCONF [RFC6241] and [RESTCONF]. Please note that in the context of SUPA, the
term "application" refers to an operational and management applications
employed, and possibly implemented, by an operator. The policy model is based
on the first example - - DDC services.
Also certain foundational concepts of the model are intentionally left open to
enable future extension. With respect to the scope, defining an information
model on the top level and a corresponding data model based on yang to express
the declarative policy for traffic optimization in specific DDC service use
case is initial goal of this document. In addition to the generic policy model,
here the traffic optimization policy in DDC use case provides a concrete
example for a specific network service, as what constitutes an intent policy
could be enforced and executed depending on the context where it is used, e.g.
there could be tenant specific policies, site specific, network domain specific
etc.
2. Conventions used in this document
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD",
"SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be
interpreted as described in [RFC2119]. In this document, these words will
appear with that interpretation only when in ALL CAPS. Lower case uses of
these words are not to be interpreted as carrying [RFC2119] significance.
3. Policy Based Service Management Framework
The usage of policy rules to manage the behavior of one or more managed
entities helps to simplify the service deployment and management. Policy is
about governance, and can be expressed differently: e.g. ''When this threshold
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is violated, change the route path of the flow'' is a lower level policy and
can be executed with direct operations. ''The links between DCs require LOAD
BALANCE'' is a higher level policy which cannot be directly executed. Different
users and operators may have different requirements on policies and level of
policy abstractions depends on their operational capability and SLA
requirements.
The document focused on developing a model that abstracts network resources and
services and a methodology by which the management and monitoring of network
services can be done using standardized policy rules. Figure 1 illustrates the
network policy model which contains generic model that has ECA model and intent
policy model.
+--------------------------------------------+
| Generic Policy |
| |
| +------------+ +-----------------+ |
| | ECA Policy | | Declarative | |
| | Data Model | |Policy Data Model| |
| +------------+ +-----------------+ |
+--------------------------------------------+
Figure 1: Overview of policy model structure
4. Declarative Policy Configuration Modules
In this section, an declarative policy model is defined with some high level
descriptions on the structure. The policy model and policy configuration are
based on a set of specific network services and the framework of SUPA [SUPA-
framework]. Meanwhile, the policy model should be working on the orchestration
level which is above network element and below OSS level based on the YANG
model classification in [draft-bogdanovic-netmod-yang-model classification-02]
4.1. Declarative Policy Framework
Unlike the ECA policy model that specify the corresponding action, intent
policy only express what should be done, not how to do it. It specifies
criteria for choosing a set of states, any of which is acceptable. Moreover,
rationality is generated by policy engine by enforcing the policy into real
actions and make sure the goal has been fulfilled. In order to express what is
needed, the intent policy is defined with description of state and behavior
constraint.
Desired state: The description of the final state of the system, in another
word, the goal or the intent of the policy management. In SUPA scope, it
consists of constraints. Here the constraint is defined with First Order Logic
(FOL) which has 'predicate' expression to describe the relation or attributes,
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and 'quantifier' to describe the quantity of the objects in the domain to meet
the predicate expression.
Behavior constraint: a set of constraints to limit the possible operations or
states in processing the policy goal to achieve the final state.
Note that state and behavior can be described as constraint or a set of
constraints.
+--------------------------+
| PolicyRuleMetaData |
+--------------------------+
|
+--------+------+
| PolicyRule |
+-----------+---+
|
----------------------
| |
+--------------+ +----------------+
| ECA Policy | | Declarative |
| Model | | Policy Model |
+--------------+ ++---+-----------+
| |
----------------------- |
| |
+-----------------+ +---------------------+
| Desired State | | Behavior Constraint |
+-----------------+ +---------------------+
Figure 2: Overview of information declarative policy model
4.2. Declarative Policy Model
The hierarchy of the intent base policy model is shown as figure 3 and the
entire data model is defined as follows.
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module: ietf-declarative-policy
+--rw supa-policy
+--rw supa-policy-name? string
+--rw supa-policy-priority? uint8
+--rw supa-policy-validity-period
| +--rw start? yang:date-and-time
| +--rw end? yang:date-and-time
| +--rw duration? uint32
| +--rw periodicity? enumeration
+--rw supa-policy-target
| +--rw profileType? string
| +--rw asDomainName? string
| +--rw adminSubnetwork? string
| +--rw businessTypeName? string
| +--rw instance
+--rw supa-policy-atomic
+--rw supa-intent-policy
+--rw policy-rule-deploy-status? enumeration
+--rw policy-rule-exec-status? enumeration
+--rw intent-policy-rule
+--rw desired-state
| +--rw constraint
| | +--rw quantifier? enumeration
| | +--rw object? string
| | +--rw predicate? enumeration
| | +--rw value? string
| +--rw constraint-priority? uint8
+--rw behavior-constraint
+--rw constraint? string
+--rw constraint-priority? uint8
Figure 3. Hierarchy of the declarative policy data model
<CODE BEGINS> file "ietf-declarative-policy @2015-10-10.yang''
module ietf-declarative-policy {
namespace "urn:ietf:params:xml:ns:yang:ietf-declarative-policy";
// replace with IANA namespace when assigned
prefix policy;
import ietf-yang-types {
prefix yang;
}
organization "IETF";
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contact
"Editor: Yiyong Zha";
description
"This YANG module defines a component that describing
the intent policy data model to describe the states and
constraints.
Terms and Acronyms
";
revision 2015-10-10 {
reference "ietf-supa-intent-policy@2015-09-10";
}
container supa-policy{
description
"This defines a policy data model with intent policy
constraint";
leaf supa-policy-name {
type string;
description
"The name of the policy";
}
leaf supa-policy-priority {
type uint8;
description
"The priority of the defined policy";
}
container supa-policy-validity-period {
description
"The valid time of the policy. E.g., the policy
will be valid 9am-9am daily";
leaf start {
type yang:date-and-time;
description
"When the policy will be start to work.";
}
leaf end {
type yang:date-and-time;
description
"When the policy will be terminated.";
}
leaf duration {
type uint32;
description
"How long the policy will be valid.";
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}
leaf periodicity {
type enumeration {
enum daily {
value 0;
description
"The policy will be repeated daily.";
}
enum monthly {
value 1;
description
"The policy will be repeated monthly.";
}
}
description
"How the policy will be repeated.";
}
}
container supa-policy-target {
description
"SUPA Policy Target is an abstract class that
defines a set of managed objects that may be
affected by the actions of the intent policy.";
leaf profileType {
type string;
description
"Which profile the policy will be worked on.";
}
leaf asDomainName {
type string;
description
"Which domain the policy will be worked on.";
}
leaf adminSubnetwork {
type string;
description
"Which subnet the policy will be worked on.";
}
leaf businessTypeName {
type string;
description
"Which business the policy will be worked on.";
}
container instance {
description
"Which instance the policy will be worked on? E.g.,
a VPN, a flow or a link";
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}
}
container supa-policy-atomic {
description
"Define an atomic intent policy.";
container supa-intent-policy {
description
"supa intent policy only describes the desired
state and constraints of the policy and what is
wanted without
telling how to do.";
leaf policy-rule-deploy-status {
type enumeration {
enum undefined{
value 0;
description "undefined";
}
enum enabled{
value 1;
description "deployed and enabled";
}
enum in-test{
value 2;
description "deployed and in test";
}
enum not-enabled{
value 3;
description "deployed but not enabled";
}
enum ready{
value 4;
description "ready to be deployed";
}
enum not-deployed{
value 5;
description "not deployed";
}
}
description
"Describes the deploy status of the policy.";
}
leaf policy-rule-exec-status {
type enumeration {
enum undefined{
value 0;
description "undefined";
}
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enum OPmode-executed-succeeded{
value 1;
description
"executed and SUCEEDED (operational mode)";
}
enum OPmode-executed-failed{
value 2;
description
"executed and FAILED (operational mode)";
}
enum OPmode-executing{
value 3;
description
"currently executing (operational mode)";
}
enum TEmode-executed-succeeded{
value 4;
description
"executed and SUCEEDED (test mode)";
}
enum TEmode-executed-failed{
value 5;
description
"executed and FAILED (test mode)";
}
enum TEmode-executing{
value 6;
description
"currently executing (test mode)";
}
}
description
"Describes the execution status of the policy.";
}
container intent-policy-rule {
description
"The intent policy rule is defined as
constraints on states and actions.";
grouping FOL-statement {
description
"SUPA intent policy is based on constraint.
The constraint is defined as first order logic
statement which consists of quantifier and predicate
expression.";
leaf quantifier {
type enumeration {
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enum none {
value 0;
description
"None: no one in the set meets
certain requirement.";
}
enum all{
value 1;
description
"All: all elements in the set meets
certain requirement.";
}
enum exist{
value 2;
description
"At least one: there is at least one
element in the set meets certain
requirement.";
}
enum at-most-one{
value 3;
description
"At most one: there is at most one
element in the set meets certain
requirement.";
}
enum singleton{
value 4;
description
"Singleton: there is only one element in
the set meets certain requirement.";
}
}
description
"Quantifier defines the quantity of
specimens in the domain of discourse that
satisfy an predicate expression.";
}
leaf object {
type string;
description
"The objects of constraints, which is the
elements of the predicate.";
}
leaf predicate {
type enumeration{
enum unknown {
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value 0;
description "Unknown";
}
enum match {
value 1;
description "Match";
}
enum greater-than {
value 2;
description "Greater than";
}
enum greater-than-or-equal-to {
value 3;
description "Greater than or equal to";
}
enum less-than {
value 4;
description "Less than";
}
enum less-than-or-equal-to {
value 5;
description "Less than or equal to";
}
enum equal-to {
value 6;
description "Equal to";
}
enum not-equal-to {
value 7;
description "Not equal to";
}
enum in {
value 8;
description "IN";
}
enum not-in {
value 9;
description "NOT IN";
}
}
description
"A predicate is commonly understood to be a
Boolean-valued expression.";
}
leaf value {
type string;
description
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"The value in the predicate expression to
describe the relationship of the objects.";
}
}
container desired-state {
description
"Describes the final state based on user's
intent. Just defines one of multiple states
without telling how.";
container constraint {
uses FOL-statement;
description
"Use first order logic to describe the
constraint. FOL statement includes
quantifier and predicate to describe the
state.";
}
leaf constraint-priority {
type uint8;
description
"0-7 denotes the priority of this state
constraint.";
}
}
container behavior-constraint {
description
"Describes the constraint on the corresponding actions
being performed to achieve the goal or intent.";
leaf constraint {
type string;
description
"Describes the constraint on the actions,
such as 'gold users remain untouched'.";
}
leaf constraint-priority {
type uint8;
description
"0-7 denotes the priority of this state
constraint.";
}
}
}
}
}
}
}
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<CODE ENDS>
5. Declarative Policy Applications in DDC services
5.1. Policy Based Traffic Steering Case study
Traffic Steering use case description:
In one set of links, keep all link utilization below 70%.
If some flows need to move to other link, keep Gold user flows untouched.
After analyze above case, we structure the description as following:
Related objects: links flow (user type)
Goal all link utilization < 70%
Constraint: keep Gold user flows untouched
The service model of this use case:
+--------------+ +--------------+
| Link +--------------+ Flow |
+--------------+ m n +--------------+
| uti: float | | bw:int |
| phybw: int | | srcip:IPAddr |
| | | destip:IPAddr|
| | | userlevel: |
| | | enum(Gold, |
+--------------+ | Normal) |
| |
+--------------+
Figure 4. Service model of traffic steering policy use case
Link attribute
Uti: link bandwidth utility
Phybw: physical bandwidth of the link
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Flow attribute
bw: the bandwidth of the flow
srcip,destip: the source and dest ip address of the flow
userlevel: the user's service level of the flow, it can be gold or normal.
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+--------------+ +--------------+
| Policy |-----|Rule(abstract)|
+--------------+ +--------------+
A
+-------+
|
+-------+------+
| Goal-rule |
+--------------+
A V V
----+ subclass +-------+ +------+
| |
V +-------------+ +--------------+
----+ composition | Goal | | behavior |
+-------------+ | constraint |
+--------------+
Figure 5. policy model of traffic steering policy use case
The goal may contain one or multiple constraint, which describe the desired
states. In this case, goal has a constraint like following string:
no link:Link link.uti > 0.7
above description can be read by the constraint solver combining the service
model defined above. It defines a variable "link" and announce it as Link type,
and says that there is no link in question, whose uti greater than 0.7(the
threshold)
There is another constraint that: "If some flows need to move to other link,
keep Gold user flows untouched." This is another kind of constraint that
confines the behavior, since it assume there are some movement of the flows
between links. We call it behavior constraint.
Before giving out the behavior constraint programming script, we introduce a
'guide' model first which is internally build for the traffic steering problem
domain. The guide model is consumed by a multi-constraint solver. 'Guide' model
is the bridge to connect goal to actions. One guide model may cover a problem
domain and serve many goal/intent policies.
The guide model can be seen in figure 6
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+------------------+
| Guide |
+------------------+
V V V V
| | | +---------------------+
+-----------------+ | +-------+ |
| | | +------------+
+----------+ +-------------+ +-----------+ | Action |
| Select | | Constraint | | Fact | | Container |
+----------+ +-------------+ +-----------+ +------------+
Figure 6. Build in guide model for traffic steering problem domain
The Guide model contains 'Select', 'Constraint', 'Fact', 'Action container'.
The objective of guide model is to guide the constraint solver output actions
which can map to low layer functions.
Guide expresses the sentence: 'Select' objects which meet the 'Constraint',
following the 'Fact' and output actions formatted in 'Action Container'.
'Select' may coexist with other guidance type to let the constraint solver know
the problem solving direction. Most cases of multiple constraint solving can
belong to select. For example, select host to run VM, select physical network
resource for virtual network path.
The Select string in this case:
flowset: set Flow
linkB: set Link
flow:Flow in flowset
tolink:Link in linkB
'Constraint' contains all common constraints under this problem domain. It can
be extended to express customer's constraints which in goal/intent policy model.
Constraint in guide also hides some complexity from customer.
The Constraint string in this case:
any link1:Link link1.uti>threshold
flowset in link1.flows
link1 not in linkB
'Fact' is to input some basic behavior of the problem domain to the solver and
let the solver can do the work and at the same time keep service agnostic.
The Fact string in this case:
link1.uti -= flow.bw/link1.phybw
tolink.uti+= flow.bw/link1.phybw
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'Action container' is regulating the output action which solver must output. It
connects the goal/intent policy engine to the lower action system.
The Action container string in this case:
move(flow:Flow,tolink:Link)
This action container assume that there is a low layer function corresponds to
the abstract move action container and the function can perform the work that
move the flow to the target link tolink.
Come back to the goal-rule model, there is behavior constraint which extends
the Constraint in guide model. The goal in goal-rule also consists of
constraints; the behavior constraint is a little different that it confines the
intermediate behavior which modeled in the problem domains guide model.
The behavior constraint in this case may like follow:
threshold = 0.7
no flow.userlevel = Gold
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5.2. Declarative Policy Enforcement
Based on the service model and policy model traffic steering use case
introduced in above section, this section introduce an example of policy
framework and briefly illustrate how to enforce the declarative policy.
+---------------------------------------+
| SUPA policy service API |
| |
+--------|--------------------|---------+
| |
/-------v--------\ /-------v--------\
| Service model | | Policy |
| | | repository |
\-------|--------/ \-------|--------/
+------------+ |
/----------\ +---v-------v---------+
| Context |----->| Policy Engine |
| data | | |
\----------/ | +-----+ +-------+ |
| | ECA | |Intent/| |
/----------\ | | | |Goal | |
| Event |----->| +-----+ +-------+ |
| data | | |
\-----A----/ +-----------|---------+
| |
+-------------+ +-------------v---------+
| Collector | | Action Scheduler |
+-----A-------+ +-------------|---------+
|event v action
Figure 7. Intent policy framework as an example
Figure 7 shows the example framework. In the framework, the policy engine takes
the key role who translates the intent policy to lower layer actions. The
policy engine is problem domain agnostic. It depends on service model and
policy model to operate on problem domains.
Following give some brief illustration around the traffic steering use case
that how the policy engine do declarative policy enforcement.
First, to inject the capability of operating on traffic steering policy to the
policy system, the guide model (see section 5.1) and the service mode (see
section 5.1) is input to the system.
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Then, under some concrete traffic steering scenario, one user can express the
intent by transfer the desired state and constraint to the system. After
verifying the policy language script against the service model and policy
syntax, the policy framework will save the user's intent policy in policy
repository.
When the policy is activated, the policy engine may get data from context data
store, in this case, the data include the link, flow and their relationship
information. The policy engine is guided by the guide model and user's intent
policy model, evaluates whether some selected data is compatible with the
constraints and desired states.
After finding out data, the policy engine will fill the <flow,link> tuples
which is the result of the 'select' to the action container, in this case is
move(flow:Flow,tolink:Link)
Finally the policy engine output a list of actions such like
move(flow1,link3)
move(flow2,link5)
move(flow4,link2)
...
The flow1, flow2, flow4, link3, link5, link2 all comes from context data store
as shown in figure 4. The policy engine even does not know what 'move' is, but
the system can map the abstract move action to a con12444crete function at
lower layer to perform the movement.
The collecting context data, making decision and output action circle may
perform one or multiple times to change the traffic steering system to a new
steady state and meet the user's intent/goal.
6. Security Considerations
TBD
7. IANA Considerations
This document has no actions for IANA.
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8. Acknowledgments
This document has benefited from reviews, suggestions, comments and proposed
text provided by the following members, listed in alphabetical order: Felix Lu,
Juergen Schoenwaelder, John Strassner, and Min Zha.
9. References
9.1. Normative References
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate Requirement
Levels", BCP 14, RFC 2119, March 1997.
[RFC6020] Bjorklund, M., "YANG - A Data Modeling Language for the
Network Configuration Protocol (NETCONF)", RFC 6020,
October 2010.
[RFC6021] Schoenwaelder, J., "Common YANG Data Types", RFC 6021,
October 2010.
[RFC3272] Awduche, D., Chiu, A., Elwalid, A., Widjaja, I., and X.
Xiao, "Overview and Principles of Internet Traffic
Engineering", RFC 3272, May 2002.
9.2. Informative References
[SUPA-framework] C. Zhou, L. M. Contreras, Q. Sun, and P. Yegani, " The
Framework of Shared Unified Policy Automation (SUPA) ", IETF Internet draft,
draft-zhou-supa-framework, January 2015.
[SUPA-problem-statement] G. Karagiannis, Q. Sun, Luis M. Contreras, P. Yegani,
and JF Tremblay, "Problem Statement for Shared Unified Policy Automation
(SUPA)", IETF Internet draft, draft-karagiannis-supa-problem-statement, January
2015.
[SUPA-DDC] Y. Cheng,and JF. Tremblay, ''Use Cases for Distributed Data Center
Applications in SUPA'', IETF Internet draft, draft-cheng-supa-ddc-use-cases,
January 2015.
[RESTCONF] Bierman, A., Bjorklund, M., Watsen, K., and R. Fernando, "RESTCONF
Protocol", draft-ietf-netconf-restconf (work in progress), July 2014.
[POLICY MODEL] Z. Wang, L. Dunbar, Q. Wu, ''Network Policy YANG Data Model''
draft-wang-netmod-yang-policy-dm, January 2015.
Bi, et al. Expires May 13, 2016 [Page 21]
Internet-Draft Declarative Policy Model November 2015
Authors' Addresses
Jun Bi
Tsinghua University
Network Research Center, Tsinghua University
Beijing 100084
P.R. China
Email: junbi@tsinghua.edu.cn
Qiong Sun
China Telecom
No.118 Xizhimennei street, Xicheng District
Beijing 100035
P.R. China
Email: sunqiong@ctbri.com.cn
Chongfeng Xie
China Telecom
No.118 Xizhimennei street, Xicheng District
Beijing 100035
P.R. China
Email: xiechf@ctbri.com.cn
Yiyong Zha
Huawei Technologies
Section F, Huawei Industrial Base, Longgang District
Shenzhen 518129
P.R. China
Email: zhayiyong@huawei.com
Bi, et al. Expires May 13, 2016 [Page 22]