< draft-lee-network-stratum-query-problem-01.txt   draft-lee-network-stratum-query-problem-02.txt >
Network Working Group Young Lee (Huawei) Network Working Group Young Lee (Huawei)
Internet Draft Dave McDysan (Verizon) Internet Draft Dave McDysan (Verizon)
Intended Status: Informational Ning So (UTD) Intended Status: Informational Ning So (UTD)
Greg Bernstein (Grotto) Greg Bernstein (Grotto)
Tae Yeon Kim (ETRI) Tae Yeon Kim (ETRI)
Kohei Shiomoto (NTT) Kohei Shiomoto (NTT)
Oscar Gonzalez de Dios (Telefonica) Oscar Gonzalez de Dios (Telefonica)
October 20, 2010 April 20, 2011
Problem Statement for Network Stratum Query Problem Statement for Network Stratum Query
draft-lee-network-stratum-query-problem-01.txt draft-lee-network-stratum-query-problem-02.txt
Status of this Memo Status of this Memo
This Internet-Draft is submitted to IETF in full conformance with the This Internet-Draft is submitted to IETF in full conformance with the
provisions of BCP 78 and BCP 79. provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering Internet-Drafts are working documents of the Internet Engineering
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other groups may also distribute working documents as Internet- other groups may also distribute working documents as Internet-
Drafts. Drafts.
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publication of this document. Please review these documents publication of this document. Please review these documents
carefully, as they describe your rights and restrictions with respect carefully, as they describe your rights and restrictions with respect
to this document. to this document.
Abstract Abstract
This document describes the general problem of network stratum query This document describes the general problem of network stratum query
for application optimization. Network Stratum query is an ability to for application optimization. Network Stratum query is an ability to
query the network from an application controller such as those used query the network from an application controller such as those used
in Data Centers so that application controller decisions such as in Data Centers so that application controller decisions such as
server assignment or virtual machine instantiation/migration can be server assignment or virtual machine instantiation/migration could be
performed with better knowledge of the underlying network conditions. performed with better knowledge of the underlying network conditions.
As application servers are distributed geographically across Data As application servers are distributed geographically across Data
Centers, many application-related decisions such as which server to Centers, many application-related decisions such as which server to
assign a new client or where to instantiate/migrate virtual machines assign a new client or where to instantiate/migrate virtual machines
will suffer from sub-optimality unless the underlying network will suffer from sub-optimality unless the underlying network
conditions are factored in the decision process. The lack of network conditions are factored in the decision process. The lack of network
awareness may result in not meeting the end-user service objective awareness may result in not meeting the end-user service objective
for some key applications like video gaming/conferencing that require for some key applications like video gaming/conferencing that require
stringent latency and bandwidth requirement. stringent latency and bandwidth requirement.
Table of Contents Table of Contents
1. Introduction...................................................3 1. Introduction......................................... 2
2. Network and Application Contexts...............................4 2. Network Contexts..................................... 4
3. Problem Statement..............................................7 3. Problem Statement .................................... 7
3.1. Limitation of existing probing schemes....................7 4. High-level requirements................................ 9
3.2. Lack of vertical query schemes............................8 4.1. Data Center-Network Stratum Communication (NS Query) Error!
3.3. Limitation of SNMP MIB network monitoring techniques......8 Bookmark not defined.
3.4. Lack of abstraction mechanisms............................8 4.1.1. Application Profile........................... 9
4. High-level requirements........................................9 4.1.2. Network Load Data to be queried................ 10
4.1. Application Profile.......................................9 4.1.3. Responses to NS Query from network to application. 10
4.2. Network Load Data to be queried..........................10 5. Security Considerations............................... 11
4.3. A Whole Network Query capability.........................10 6. References......................................... 11
4.4. Data Synchronization Mechanism...........................10 Author's Addresses..................................... 13
4.5. Responses to NS Query from network to application........11 Intellectual Property Statement .......................... 13
5. Security Considerations.......................................11 Disclaimer of Validity.................................. 14
6. IANA Considerations...........................................11
7. References....................................................12
7.1. Informative References...................................12
Author's Addresses...............................................13
Intellectual Property Statement..................................13
Disclaimer of Validity...........................................14
1. Introduction 1. Introduction
Cross Stratum Optimization is a joint optimization effort in Cross Stratum Optimization is a joint optimization effort in
allocating resources to end-users that involves both the Application allocating resources to end-users that involves both the Application
Stratum and Network Stratum. Stratum and Network Stratum.
The application stratum is the functional block which manages and The application stratum is the functional block which manages and
controls application resources and provides application resources to controls application resources and provides application resources to
a variety of clients/end-users. Application resources are non-network a variety of clients/end-users. Application resources are non-network
resources critical to achieving the application service resources critical to achieving the application service
functionality. Examples include: application specific servers, functionality. Examples include: application specific servers,
storage, content, large data sets, and computing power. Data Centers storage, content, large data sets, and computing power. Data Centers
are regarded as a tangible realization of the application stratum are regarded as tangible realization of the application stratum
architecture. architecture.
The network stratum is the functional block which manages and The network stratum is the functional block which manages and
controls network resources and provides transport of data between controls network resources and provides transport of data between
clients/end-users to and among application resources. Network clients/end-users to and among application resources. Network
Resources are resources of layer 3 or below (L1/L2/L3) such as Resources are resources of any layer 3 or below (L1/L2/L3) such as
bandwidth, links, paths, path processing (creation, deletion, and bandwidth, links, paths, path processing (creation, deletion, and
management), network databases, path computation, admission control, management), network databases, path computation, admission control,
and resource reservation capability. and resource reservation capability.
Application services by their very nature utilize application Application services offered by Data Centers by their very nature
resources (e.g., servers, storage, memory, etc...) in Data Centers, utilize application resources (e.g., servers, storage, memory,
and the underlying network resources provided by LANs, MANs, and etc...) in Data Centers, and the underlying network resources
carrier's transport networks. By "data center" is any location in the provided by LANs, MANs, and carrier's transport networks.
network where applications resources, such as servers or storage, are
aggregated. We include in this definition extremely large data
centers with 10,000 or more servers, all the way down to small points
of presence co-located in network carrier facilities.
As the application servers are distributed geographically across many As the application servers are distributed geographically across many
Data Centers, decisions such as server assignment or new virtual Data Centers, decisions such as server assignment or new virtual
machine instantiation/migration will suffer from sub-optimality machine instantiation/migration will suffer from sub-optimality
unless the underlying network conditions are factored in the decision unless the underlying network conditions are factored in the decision
process. The lack of network awareness may result in not meeting the process. The lack of network awareness may result in not meeting the
end-user service objective for some key applications like video end-user service objective for some key applications like video
gaming/conferencing that require stringent latency and bandwidth gaming/conferencing that require stringent latency and bandwidth
requirement. requirement.
This document describes the general problem of network stratum query This document describes the general problem of network stratum query
(NS Query) in Data Center environments. Network Stratum query is an (NS Query) in Data Center environments. Network Stratum query is an
ability to query the network from application controllers in Data ability to query the network from application controller in Data
Centers so that application server assignment or virtual machine Centers so that application server assignment or virtual machine
instantiation/migration decision would be jointly performed based on instantiation/migration decision would be jointly performed based on
both the application resource/load status and the network both the application resource/load status and the network
resource/load status. resource/load status.
The NS query is different from what is called "horizontal network The NS query is different from typical "horizontal" query
queries" performed as part of network management. These horizontal capabilities in the network. The horizontal query in the network is
queries are carried out by an entity (network management systems) carried by the head end (i.e., data source) that would "probe" the
within the network and would have fairly complete access to network network to test the capabilities for data flows to/from particular
information. point in the network. This is a horizontal scheme.
NS Query can be thought of as a two-stage query that consists of: NS Query is a two-stage query that consists of two stages:
. First Stage: A vertical query from an application entity (i.e., . A vertical query capability where an external point (i.e., the
the Application Control Gateway (ACG) in Data Center) to an Application Control Gateway (ACG) in Data Center) will query
entity representing the network (i.e., the Network Control the network (i.e., the Network Control Gateway (NCG)); and
Gateway (NCG))for highly summarized and abstracted network
related information; and
. Second Stage: Internal "horizontal queries" at the network work . A horizontal query capability where the NCG to gather the
layer along with summarization and abstraction of the network collective information of a variety of horizontal schemes
information in a form that preserves network confidentiality (IPPM, IGP, RIB, etc.) implemented in the network stratum.
and significantly reduces the amount of information that needs
to be transferred. The raw information needed to perform this
summarization/abstraction is defined in existing and emerging
network management standards and protocols (SNMP, Netflow,
sFlow, IPPM, IGP, RIB, etc...).
NS Query would not necessarily standardize how the above "internal NS Query does not re-invent the wheel on existing network
horizontal queries" and summarization would be performed but would capabilities but tries to reuse them where possible.
illustrate how such processes can be accomplished via standards,
emerging standards or common commercial practices.
2. Network and Application Contexts 2. Network Contexts
Figure 1 shows a typical application architecture where an end-user Figure 1 shows a typical data center architecture where an end-user
(the point of consuming resource) needs to be connected for its (the point of consuming resource) needs to be connected for its
application (e.g., gaming) to a server located in one of the application (e.g., gaming) to a server located in one of the data
geographically distributed data centers. centers geographically spread.
---------------
---------- | DC 1 |
| End-user |. . . . .>| o o o |
| | | \|/ |
---------- | O |
| ----- --|------
| |
| |
| -----------------|-----------
| / | \
| / ..........O PE1 \ --------------
| | . | | o o o DC 2 |
| | PE4 . PE2 | | \|/ |
----|---O.........................O---|---|---O |
| . | | |
| . PE3 | --------------
\ ..........O Carrier /
\ | Network /
---------------|-------------
|
--------|------
| O |
| /|\ |
| o o o |
| DC 3 |
---------------
,-----. ---------------
---------- / App \ | DC 1 |
| End-user |. . .>( Control ) | o o o |
| | \ / | \|/ |
---------- `-----' | O |
| ----- --|------
| |
| |
| --------------------------|--
| / PE1 | \
| / ...................O \ --------------
| | . | | o o o DC 2 |
| | PE4 . PE2 | | \|/ |
----|---O.........................O---|---|---O |
| . | | |
| . PE3 | --------------
\ ..........O Carrier /
\ | Network /
---------------|-------------
|
--------|------
| O |
| /|\ |
| o o o |
| DC 3 |
---------------
Figure 1. Data Center Architecture Figure 1. Data Center Architecture
Figure 1 shows that the user application can be served by any of the Figure 1 shows that the user application can be served by any of the
servers in DC1, DC2 or DC3. When the initial request arrives to the servers in DC1, DC2 or DC3. When the initial request arrives to the
application controller, the controller (aka, a global load balancer) proxy server in DC1, the proxy server (aka, the load balancer) would
would ideally assign an "optimal" server based on both server ideally assign an "optimal" server based on both server resource/load
resource/load status and the network resources/load status. This status and the network resources/load status. This server assignment
server assignment decision today, however, is limited due to the lack decision today, however, is limited due to the lack of network
of network awareness in this decision making process in the awareness in this decision making process in the application.
application.
For example, the application controller needs to find a good server For example, the server close to the user in Data Center 1 may find a
that can serve the client. Assume that this particular application good server that can serve the application. Assume that this
requires x amount of minimum bandwidth guarantee and with less than y particular application requires x amount of minimum bandwidth
ms of latency limit. The route that serves Data Center 1 traffic to guarantee and with less than y ms of latency limit. The route that
the end-user (PE1 - PE4) may not have enough capacity at a moment of serves Data Center 1 traffic to the end-user (PE1 - PE4) may not have
service instantiation and therefore the service objective of the end- enough capacity at a moment of service instantiation and therefore
user may not be satisfied had such route been taken. the service objective of the end-user may not be satisfied had such
route been taken.
On the other hand, there may be good servers available in Data On the other hand, there may be good servers available in Data
Centers 2 and 3 and their routes (PE2-PE4 and PE3-PE4) may have Centers 2 and 3 and their routes (PE2-PE4 and PE3-PE4) may have
enough capacity to meet the service requirement. enough capacity to meet the service requirement.
This example illustrates the benefit of and the need for the joint This example illustrates the benefit of and the need for the joint
optimization across the application and network strata. NS Query is optimization across the application and network strata. NS Query is
the ability to query the network from an application controller to the ability to query the network from an application to collect a
collect a certain level of network information. No such mechanisms certain level of network information. No such mechanisms exist in the
exist in the today's Internet Protocol technologies. today's Internet Protocol technologies.
Figure 2 shows the context of NS Query in a more detail within the Figure 2 shows the context of NS Query in a more detail within the
overarching data center architecture shown in Figure 1. overarching data center architecture shown in Figure 1.
+--------------------------------------------+ --------------------------------------------
| +-------------+ | | Application Overlay |
| | Application | | | (Data Centers) |
| | Controller | Application Overlay | | |
| +------|------+ (Data Centers) | ---------- | -------------- -------------- |
| | |
---------- | ------|------- -------------- |
| End-User | | | Application |. . . .| Application | | | End-User | | | Application |. . . .| Application | |
| |. . . >| | Control | | Processes | | | |. . . >| | Control | | Processes | |
---------- | | Gateway (ACG)| -------------- | ---------- | | Gateway (ACG)| -------------- |
| | | -------------- | | | | -------------- |
| ------------- . . . . | Application | | | ------------- . . . . | Application | |
| /\ | Related Data | | | /\ | Related Data | |
| || -------------- | | || -------------- |
----------||-------------------------------- ----------||--------------------------------
|| ||
|| Network Stratum Query (First Stage) || Network Stratum Query (First Stage)
|| ||
+----------||--------------------------------+ ----------||--------------------------------
| \/ Network Underlay | | \/ Network Underlay |
| | | |
| -------------- ---------------- | | -------------- ---------------- |
| | Network |. . . | Network | | | | Network |. . . | Network | |
| | Control | | Processes | | | | Control | | Processes | |
| | Gateway (NCG)| ---------------- | | | Gateway (NCG)| ----------------
| | | ---------------- | | | | ---------------- |
| ------------- | Network | | | ------------- | Network | |
| |------------->| Related Data | | | |------------->| Related Data | |
| (Second Stage) ---------------- | | (Second Stage) ---------------- |
+--------------------------------------------+ -------------------------------------------
Figure 2. NS Query Architecture Figure 2. NS Query Architecture
Figure 2 shows key architectural components that enable NS Query Figure 2 shows key architectural components that enable NS Query
capability. The application controller, e.g., global load balancer, capability. The Application Control Gateway (ACG) is the proxy
utilizes the Application Control Gateway (ACG) to interface with the gateway that interfaces with network and generate queries to network.
network and generate queries to network. The ACG can query various The ACG can query various metric values that may contribute to
metric values that may contribute to meeting the overall service meeting the overall service objective of an application. This is a
objective of an application. This is a vertical query (Stage 1). vertical query (Stage 1).
In the network stratum, the Network Control Gateway (NCG) serves the In the network stratum, the Network Control Gateway (NCG) serves as
interface to the network stratum. The NCG receives the query request the proxy gateway to the network. The NCG receives the query request
from the ACG, makes use of current and/or historical network from the ACG, probes the network to test the capabilities for data
information (IPPM, IGP, MIB, TED, etc...), abstracts and summaries flow to/from particular point in the network, and gather the
this information implemented in the network stratum. This is the collective information of a variety of horizontal schemes (IPPM,
horizontal query and summarization stage (Stage 2). IGP, MIB, TED, etc.) implemented in the network stratum. This is a
horizontal query (Stage 2).
Further, the NCG provides the responses to the original query sent Further, the NCG provides the responses to the original query sent
from the ACG. The data collected by the NCG needs to be abstracted. from the ACG. The data collected by the NCG needs to be abstracted.
This abstraction is needed on two grounds. This abstraction is needed on two grounds.
First, the network does not usually reveal its details to the First, the network does not usually reveal its details to the
outside entity. Although the Data Center providers and the carriers outside entity. Although the Data Center providers and the carriers
are business partners in providing application services to the end- are business partners in providing application services to the end-
users and to the application providers (e.g., gaming providers), users and to the application providers (e.g., gaming providers),
detail network data may not be leaked to the Data Centers, and vice detail network data may not be leaked to the Data Centers, and vice
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Secondly, detail network data may not be understood by the Secondly, detail network data may not be understood by the
application. Link or node level data in and of themselves may not application. Link or node level data in and of themselves may not
help the application to process the detail data. For instance, help the application to process the detail data. For instance,
latency or bandwidth on a link level is too detail for application latency or bandwidth on a link level is too detail for application
to handle. Instead, latency or bandwidth on a route level (i.e., PE1 to handle. Instead, latency or bandwidth on a route level (i.e., PE1
- PE4 in Figure 1) will help the application make its server - PE4 in Figure 1) will help the application make its server
selection/instantiation decision. selection/instantiation decision.
The abstraction function needs to be provided by the NCG. Note that The abstraction function needs to be provided by the NCG. Note that
NCG plays gate keeper role to information concerning the network. a NCG plays a head end role within the network probing/collecting
Within the network the NCG collects and or probes network network performance/management data (e.g., IPPM, MIB, etc.) or
performance/management data (e.g., IPPM, MIB, etc.) or routing data routing data [MRT] (e.g., LSDB, TED, BGP-RIB, etc.) and others. Once
[MRT] (e.g., LSDB, TED, BGP-RIB, etc.) and others. Once the basic the basic data is collected, the NCG will need to abstract/summary
data is collected, the NCG will need to abstract/summary before it before it sends to the application.
sends to the application.
3. Problem Statement 3. Problem Statement
3.1. Limitation of existing probing schemes 3.1. Limitation of existing probing schemes
The current state-of-the art application network awareness schemes The current state-of-the art probing schemes from an external point
for an entity external to the network are based on ping, trace route, are based on ping or trace route like mechanisms based on the
or vendor specific probing mechanisms based on the assumption that assumption that the underlying transport network is L3 network and
the underlying transport network is L3 network and that the routing that the routing is simple IP forwarding.
is simple IP forwarding.
In reality, the carrier's routing schemes are likely to include IP In reality, the carrier's routing schemes are likely to include IP
tunneling or MPLS tunneling on top of or in place of IP forwarding. tunneling or MPLS tunneling on top of or in place of IP forwarding.
In some cases, the actual network may be VPN, MPLS-TE or GMPLS-TE In some cases, the actual network may be VPN, MPLS-TE or GMPLS-TE
networks where trace route does not work. networks where trace route does not work.
This implies that network status estimation technique made from This implies that network status estimation technique made from
application stratum may have limited accuracy. Thus, application application stratum cannot be accurate. Thus, application resource
resource allocation to end-users can suffer sub-optimality and fail allocation to end-users can suffer sub-optimality and fail to meet
to meet performance objective for the application. performance objective for the application.
3.2. Lack of vertical query schemes 3.2. Lack of vertical query schemes
Currently, the query in the network is carried by the head end (i.e.,
data source) that would "probe" the network to test the capabilities
for data flows to/from particular point in the network. This is a
horizontal scheme.
There is no standard "vertical" query scheme that allows an There is no standard "vertical" query scheme that allows an
application control gateway in a Data Center to query network stratum application control gateway in Data Center to query network stratum
in a way suitable for a third party (i.e. an entity "outside" the in a way suitable for a third party (i.e. an entity "outside" the
network). network).
Due to the lack of standard vertical query scheme, there is a Due to the lack of standard vertical query scheme, there is a
limitation on exchanging information between application and network limitation on exchanging information between application and network
that would increase efficiency of joint optimization across that would increase efficiency of joint optimization across
application to network. For instance, the ability to exchange the application to network. For instance, the ability to exchange the
application profile information (defined in Section 4.1) or network application profile information (defined in Section 4.1) or network
capability information between application and network would increase capability information between application and network would increase
efficiency of resource allocation across application to network. efficiency of resource allocation across application to network.
3.3. Limitation of SNMP MIB network monitoring techniques 3.3. Limitation of SNMP MIB network monitoring techniques
SNMP MIB Network Monitoring lacks a whole network query capability. A SNMP MIB monitoring techniques as defined in [RFC2261] and [RFC2265]
whole network query is a query to gather information across many do not provide mechanisms to guarantee synchronization of the data
boxes simultaneously under the control of a single administration collection. This higher level of synchronization is necessary to
domain (AD) as defined in RFC 1136. A single AD means the single AS service: a) application with stringent QoS and Bandwidth, or to b)
or multiple ASes under the control of a single AD. better schedule massive quantities of small data flows.
In addition, SNMP MIB Network Monitoring lacks a whole network query
capability. A whole network query is a query to gather information
across many boxes simultaneously under the control of a single
administration domain (AD) as defined in RFC 1136. A single AD means
the single AS or multiple ASes under the control of a single AD.
3.4. Lack of abstraction mechanisms 3.4. Lack of abstraction mechanisms
Most of the information needed to provide NS Query is currently Most of the information needed to provide NS Query is currently
available from the network; however, it is not aggregated into a form available from the network; however, it is not aggregated into a form
suitable for use by the application stratum. For example from suitable for use by the application stratum. For example from
commonly monitored SNMP based link statistics and current routing commonly monitored SNMP based link statistics and current routing
tables one can easily compute average available bandwidth and many tables one can easily compute average available bandwidth and many
other statistical performance measures such as packet loss, latency, other statistical performance measures such as packet loss, latency,
etc. etc.
However, neither the raw SNMP nor routing table data should be However, neither the raw SNMP nor routing table data should be
delivered to the application stratum since (a) this reveals too much delivered to the application stratum since (a) this reveals too much
information concerning the carriers network, (b) presents too much information concerning the carriers network, (b) presents too much
information to transfer to each application. This warrants some work information to transfer to each application. This warrants some works
on abstraction from network side to preserve the privacy of network on abstraction from network side to preserve the privacy of network
stratum details from the application stratum. stratum details from the application stratum.
4. High-level requirements 4. High-level requirements
This section discusses high-level requirements to support NS Query in This section discusses high-level requirements to support NS Query in
the Data Center environments. the Data Center environments.
The ACG plays the key role functioning as an application gateway to The ACG plays the key role functioning as an application gateway to
network and runs the NS Query. The ACG has access to the end-user network and runs the NS Query. The ACG has access to the end-user
profile for the application and the candidate servers' locations profile for the application and the candidate servers' locations
locally and remotely located. How the ACG access these information is locally and remotely located. How the ACG access these information is
beyond the scope of this work. beyond the scope of this work.
4.1. Application Profile 4.1. Application Profile
The application Stratum needs to provide the application profile to The application Stratum needs to provide the application profile to
network as part of a query. network.
Example service profile information that can be useful to network to Example service profile information that can be useful to network to
understand is as follows: understand is as follows:
. End user IP address; . End user IP address;
. User access router IP address; . User access router IP address;
. Authentication Profile: Authentication Key; . Authentication Profile: Authentication Key;
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. Connectivity Profile: P-P, P-MP, Anycast (Multi-destination); . Connectivity Profile: P-P, P-MP, Anycast (Multi-destination);
. Directionality of the connectivity: unidirectional, bi- . Directionality of the connectivity: unidirectional, bi-
directional; directional;
. Path Estimation Objective Function: Min latency, etc. . Path Estimation Objective Function: Min latency, etc.
Additional profile information can be added depending on the network Additional profile information can be added depending on the network
capability. capability.
4.2. Network Load Data to be queried 4.2. Network Load Data to be queried (First Satge)
For a given location mapping information (i.e., from the server For a given location mapping information (i.e., from the server
location to end-user location), the query from an application can ask location to end-user location), the query from an application can ask
the following network load data: the following network load data:
. Type of networks and the technical capabilities of the networks; . Type of networks and the technical capabilities of the networks;
. Bandwidth capabilities and availability; . Bandwidth capabilities and availability;
. latency; . latency;
. jitter; . jitter;
. packet loss; . packet loss;
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section 5 of [ITU-T Y.1541]. section 5 of [ITU-T Y.1541].
Note that this can be asked in a different way. For example, the Note that this can be asked in a different way. For example, the
query can simply ask: query can simply ask:
. Can you give me a route with x amount of b/w (from server to . Can you give me a route with x amount of b/w (from server to
end-user) within y ms of latency? end-user) within y ms of latency?
. Can you give me a route with x amount of b/w (from server to . Can you give me a route with x amount of b/w (from server to
end-user) with no packet loss? end-user) with no packet loss?
4.3. A Whole Network Query capability 4.3. A Whole Network Query capability (Second Stage)
Upon the request from application (specifically, the ACG in Figure Upon the request from application (specifically, the ACG in Figure
2), the network (specifically the NCG in Figure 2) should perform "a 2), the network (specifically the NCG in Figure 2) should perform "a
whole network query" of information. whole network query" of information.
A whole network query is a query to gather information across many A whole network query is a query to gather information across many
boxes simultaneously under the control of a single administration boxes simultaneously under the control of a single administration
domain (AD) as defined in RFC 1136. A single AD means the single AS domain (AD) as defined in RFC 1136. A single AD means the single AS
or multiple ASes under the control of a single AD. or multiple ASes under the control of a single AD.
The scope of a whole network query can include the topology of the The scope of a whole network query can include the topology of the
network, the bandwidth availability for the routes of interest, the network, the bandwidth availability for the routes of interest, the
capabilities and congestion of links and routes, and an indication of capabilities and congestion of links and routes, and an indication of
the contribution to delay and jitter that each link and route will the contribution to delay and jitter that each link and route will
contribute and so on. contribute and so on.
4.4. Data Synchronization Mechanism 4.4. Data Synchronization Mechanism
When querying the network there are two general categories of The ability to capture the data at the same instant should be
information that are of interest (a) current data, and (b) historical provided.
data. Current data information tells us information about the current
state of the network, this data represent current network "state" and
over time is subject to change. Application servers would use
abstracted versions of this information to make decisions regarding
current application activities.
Historical data can be used by the application controller to schedule
application events at future times. Such historical data must be time
stamped so that inferences can be drawn from the data. For example,
consider the backup and synchronization of large application
databases between two data centers. Not only would we like to know
how much bandwidth is available, and importantly when is the best
time to perform such synchronization (given there is flexibility on
when to perform the backup).
4.5. Responses to NS Query from network to application 4.5. Responses to NS Query from network to application
Given the network query from application, the network should provide Given the network query from application, the network should provide
the following mechanisms: the following mechanisms:
- For a given location mapping information from application (i.e., - For a given location mapping information from application (i.e.,
from the server location to end-user location) and the gathered from the server location to end-user location) and the gathered
information by the second stage query discussed in section 4.3., information by the second stage query discussed in section 4.3.,
the network needs to present the requested information in a the network needs to present the requested information in a
skipping to change at page 12, line 16 skipping to change at page 11, line 39
7.1. Informative References 7.1. Informative References
[RFC2261] D. Harrington, et al., "An Architecture for Describing SNMP [RFC2261] D. Harrington, et al., "An Architecture for Describing SNMP
Management Frameworks," January, 1998. Management Frameworks," January, 1998.
[RFC2265] B. Wijnen, et al., "View-based Access Control Model (VACM) [RFC2265] B. Wijnen, et al., "View-based Access Control Model (VACM)
for the Simple Network Management Protocol (SNMP)," for the Simple Network Management Protocol (SNMP),"
January, 1998. January, 1998.
[Y.1541] Network performance objectives for IP-based services,
February, 2002.
[Y.2011] General principles and general reference model for Next [Y.2011] General principles and general reference model for Next
Generation Networks, October, 2004. Generation Networks, October, 2004.
[Y.2012] Functional Requirements and architecture of the NGN, April, [Y.2012] Functional Requirements and architecture of the NGN, April,
2010. 2010.
[MRT] L. Blunk, M. Karir, and C. Labovitz, "MRT routing [MRT] L. Blunk, M. Karir, and C. Labovitz, "MRT routing
information export format," draft-ietf-grow-mrt, work in information export format," draft-ietf-grow-mrt, work in
progress. progress.
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