Internet Research Task Force D. Chen
Internet-Draft Z. Li
Intended status: Informational China Mobile
Expires: 9 January 2025 8 July 2024
High speed data express in IP: Concept, Reference Architecture and
Technologies
draft-chen-tsvwg-high-speed-data-express-00
Abstract
With the rapid development of AI technology, intelligent computing
and super-computing services, the demand for wide-area transmission
of massive data is increasing. This paper makes full use of the
advantages of IP network, such as statistical reuse and elastic
supply, and proposes a reference architecture of high elasticity and
high throughput data express based on IP network. In order to
support differentiated data express services and create task-type
data express services, the "one low and three high" technical system
is proposed.
Requirements Language
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 RFC 2119 [RFC2119].
Status of This Memo
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This Internet-Draft will expire on 9 January 2025.
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Reference Architecture . . . . . . . . . . . . . . . . . . . 3
3. "One low, three high" technology system . . . . . . . . . . . 6
4. Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
5. Security Considerations . . . . . . . . . . . . . . . . . . . 6
6. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 6
7. Normative References . . . . . . . . . . . . . . . . . . . . 6
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 6
1. Introduction
With the rapid development of AI technology, intelligent computing,
and super-computing services, the demand for wide-area transmission
of massive data is increasing. How to transfer a large amount of
data quickly, efficiently and conveniently has become an important
problem that needs to be solved in the development of communication
networks. With the network bandwidth from 10G to 25G, 100G, 200G and
even 400G, bandwidth is not the bottleneck of data transmission, the
key to data transmission is how to make full use of large bandwidth
to achieve efficient throughput.
In most cases, the effective throughput is less than the throughput,
which in turn is less than the bandwidth. Bandwidth refers to the
number of bits that can be transmitted per second on the link, which
depends on the link clock rate and channel coding, also known as line
speed (network device transmission capacity). Throughput refers to
the actual amount of data transmitted on the bandwidth (terminal
device transmission capacity). Goodput refers to the throughput that
truly meets service requirements, excluding invalid packets such as
retransmission and discarding (service data transmission
capability)..
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In-depth analysis shows that the data transmission throughput
performance is mainly affected by five factors: transmission
distance, network packet loss rate, effective data length , sending
window and the impact factor. As the transmission distance
increases, RTT (round trip delay) increases. In reliable
transmission mode, the reply time of ACK acknowledgement messages
becomes longer, and the sending sliding window cannot be adjusted in
time. Network packet loss rate will affect the rate adjustment of
congestion control algorithm, and increase the tail delay of data
transmission. Effective data length refers to the effective data
length of the packet header removed, which can be regarded as MSS.
Increasing MSS will help improve throughput. The sending window
affects the duration of continuous data sending. If the window is
too small, data will be sent before the ACK reply is completed, and
sending will be paused. The impact factor F is a comprehensive
parameter, such as the CPU frequency, PCIE rate, disk I/O rate, and
bandwidth that affect the packet processing rate, 0<F<1, if these
have no impact, the value of F is 1. In summary, we can draw the
following conclusion: in addition to improving the network
environment (improving the physical bandwidth, etc.), the end-to-end
data sending and receiving mechanism and transmission protocol are
also a key part of the effective throughput.
In order to improve the data transmission efficiency and reduce the
data transmission cost as much as possible, we propose to build a
highly elastic and high-throughput data transmission network based on
IP network, and use elastic bandwidth, load balancing, security
encryption and other technologies to realize new data express
services.
2. Reference Architecture
The data express solution enables massive data transmission from the
data source to the destination. Data sources are devices or systems
that generate or store large amounts of data, such as enterprise
servers, databases, and storage devices. Data sources can be
multiple nodes distributed across different geographies and network
environments, or they can be a single node concentrated in one
location. Data destination refers to the device or system that
receives or processes a large amount of data, such as cloud computing
platform, intelligent computing center, and supercomputing center.
The data destination can be a public service provided by a third
party or a cloud data center built by a data express operator.
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Based on the massive transmission requirements from the data source
to the destination end, the overall architecture of the data express
solution is designed according to the hierarchical idea, which mainly
includes three parts: cloud private network infrastructure, network
controller and data express operation platform, as shown in
+--------------------+
| |
| Data Express |
Task -------> | Operation Platform |
Delivery | |
+---------+----------+
|
+----------+-----------+
| |
+---------------+ Network Controller +---------+
| | | |
| +-----------+----------+ |
| | |
| | |
+-------+---------------------------+--------------------+----------+
| |
| +-----------+ +-----------+ |
| |Data Source| | Super | |
| | Memory | +------+ Computing | |
| | card/disk | Wide Area | | Center | |
| +-----+-----+ +------+Interconnection +--+--+ +-----------+ |
| | |Cloud +----------------+Cloud| |
| | | PE | | PE | |
| | +---+--+ +--+--+ +-----------+ |
| +-----v------+ | | | General | |
| |Data Express| | +------+ Computing | |
| | Station +--------+ | Center | |
| +------------+ +-----------+ |
| |
| Infrastructure |
+-------------------------------------------------------------------+
Infrastructure
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- Data Express can use the existing network infrastructure to
provide data transmission services for customers, and can
access different data source and data consumption end through
SPN, PON, optical fiber direct connection and other means
according to the situation of live network resources, so as to
achieve dynamic scheduling and optimization of network
resources and ensure the quality and efficiency of data
transmission. SPN is the recommended access mode for data
express because of its large access bandwidth, elastic
bandwidth configuration, and wide coverage.
Network Controller
Network controllers include SPN and other network controllers in
different fields, which complete the network configuration
according to the requirements of the service platform, and realize
the whole process automation and intelligent opening of the data
express service. The main functions include:
- Network configuration: Automatically or manually configure
parameters such as network topology, routes, and security
policies based on network requirements and scenarios to achieve
flexibility and customization.
- Information collection: Collects and analyzes network
performance, quality, and security indicators in real time to
optimize and improve data express services.
- Network monitoring: Monitors the network in real time to detect
and handle anomalies such as network faults, attacks, and
leaks, ensuring data transmission security and stability.
Operation Platform
- Operation platform refers to the online platform that provides
users with one-stop data express service management and
monitoring functions, and provides users with business
ordering, opening, monitoring, billing and other functions.
The operation platform can be accessed through the web or
mobile terminal to realize the visualization and intelligence
of the whole process of data express business. The main
functions include:
o Service order: Users can order data express services online
on the operation platform, and select parameters such as
data source, destination, transmission mode, and
transmission time to generate service orders.
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o Enabling the service: Users can enable the online data
express service on the operation platform. Based on the
order information, users can automatically or manually
configure data sources, destinations, and network resources
to start data transfer tasks.
o Service monitoring: Users can monitor data express services
online on the operation platform and view data transfer
progress, status, rate, and quality in real time to detect
and handle anomalies in a timely manner.
o Service charging: Users can charge online data express
services on the operating platform, and generate and pay
bills based on preset charging rules based on data transfer
volume, duration, and bandwidth.
3. "One low, three high" technology system
TBD
4. Summary
TBD
5. Security Considerations
TBD.
6. IANA Considerations
This document has no requests to IANA.
7. Normative References
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119,
DOI 10.17487/RFC2119, March 1997,
<https://www.rfc-editor.org/info/rfc2119>.
Authors' Addresses
Danyang Chen
China Mobile
Beijing
100053
China
Email: chendanyang@chinamobile.com
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Zhiqiang Li
China Mobile
Beijing
100053
China
Email: lizhiqiang@chinamobile.com
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