Status of Web & Networks Liaison Organizations
This information covers the status and technologies relevant to web and networks in liaison organizations like W3C. It includes details about the Network Information API, Web XR, Web RTC, and Web of Things, offering insights into their functionalities, development status, and purposes within the web and network domain.
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Presentation Transcript
Web and Networks: Status in liaison organizations and topics for TPAC
Web and networks relevant technologies in W3C 01 Candidate items for W&N in TPAC 02
Network Information API Status Status Draft Link Link http://wicg.github.io/netinfo/ Working group Working group WICG Last modified Last modified 2019/02/20 Brief Brief: The Network Information API enables web applications to access information about the network connection in use by the device, for example, wifi, Bluetooth connection and cellular connection etc. Additionally, users can listen for the changes of network when the network is switched. It is not supported for the 5g right now, but it is looking at for the future upgrades.
Web XR Status Status: Draft Link Link: https://immersive-web.github.io/webxr/ Working Working group group: Immersive Web Working Group Last Last modified modified: 2019/08/15 Brief Brief: this API is designed to provide an interface for the developers with an immersive application, which is allowed to develop an web-based, comfortable and attractive immersive application. Moreover, Immersive Web application has high requirements for broadband and latency, which is a typical usage scenario of W&N
Web RTC Status Status: Candidate recommendation (CR) Link Link: https://www.w3.org/TR/webrtc/ Working Working group group: Web Real-Time Communications Working Group Last Last modified modified: 2018/09/27 Brief Brief: this document defines a set of protocols APIs, which allowed the multimedia data from one browser or device to another in real-time, This specification is being developed in conjunction with a protocol specification developed by the IETF RTCWEB group and an API specification. currently, it is only an API for end-to-end real-time media data transmission , 5G edge computing can be extended to realize real-time data transmission from end to edge node.
Web of ThingsWoTArchitrcture Status Status: Candidate recommendation (CR) Link Link: https://www.w3.org/TR/2019/CR-wot-architecture-20190516/ Working Working group group: Web of Things Working Group Last Last modified modified: 2018/05/16 Brief Brief: The WoT was created to enable interoperability across IoT platforms and application domains. WoT provides mechanisms to formally describe IoT interfaces to allow IoT devices and services to communicate with each other, independent of their underlying implementation, and across multiple networking protocols. In addition WoT offers a standardized way to define and program IoT behavior. IOT is a typical usage scenario of 5G, which has high requirements for large-scale machine communication network.
Web and networks relevant technologies in W3C 01 Candidate items for W&N in TPAC 02
5G network slicing Thoughts Thoughts Network slicing is to divide the network into multiple virtual networks for different requirements, for example: IOT(MMTC large-scale machine communication), high definition live and video(EMBB enhances network bandwidth), unmanned and telemedicine etc. Development Development An API can be defined to get the current information of network slice, such as bandwidth, delay and capacity, etc. So it is convenient to detect the running environment of network.
Edge computing Thoughts Thoughts Edge computing is an open platform that integrating network, computing, storage and application of core capabilities, which is close to the object or data source to provide services. Its applications are launched at the edge to generate faster network service responses and meet the basic needs of business for intelligent security and privacy protection in real-time. It is between physical entities and industrial connections, or at the top of the physical entity, and cloud computing can still access the historical data of edge computing Development Development Similar as the function of CDN, edge computing is the marginalization of application computing layer, while the CDN is the marginalization of static resources. mobile edge computing(MEC) is used to access link from end to edge nodes, to achieve faster response and more efficient computing, and can define a web-friendly API or framework that similar to MEC. Status Status in in ETSI/ ETSI/3 3GPP GPP ETSI MEC ISG have already defined a series of API to perform edge computing easily (Location API Bandwith Mgmt API Radio Network Info API etc.). It's worth mentioning that theses APIs are exposed by using REST HTTP . So web technology regulation organization implements or defines new API for user agent(browsers), we can refer ETSI GS MEC 09-12 framework.
real-time network adaption Thoughts Thoughts An API can be defined to measure and report the current environment of local network, as the reports of Mobile throughput guide : cellular networks is allowed to provide near-real-time information about the available capacity of TCP servers. Development Development This throughput guidance (TG) information will indicate or estimate the available throughput in wireless downlink interfaces which is between wireless access networks (RAN) and mobile devices (UE). TCP servers can use this TG information to ensure high network utilization and high service delivery performance.
Cloud Gaming Thoughts Thoughts Based on the ultra-low latency and ultra-high bandwidth, the game will run on the server. The server will compress the rendered game screen and then send it to the player through the network, thus the game can be played without installation by players.
Best network selection Thoughts Thoughts Before the web transfers the mass data, it should send the amount of data to the network first. Based on this, the network can allocate the best scheme to the transmission link, thus the web side will have a good experience and the resource utilization rate of the network side will be greatly improved. Web Web and Select the network node with the best signal that closest to the device. We can use machine learning to optimize the network. The model is trained through the requirements of various usage scenarios for the network, and then optimize the model by the reaction of network. and ML ML Development Development
