EP4393137A1 - Système de transfert pour transférer des données de diffusion en continu, et procédé de transfert de données de diffusion en continu - Google Patents

Système de transfert pour transférer des données de diffusion en continu, et procédé de transfert de données de diffusion en continu

Info

Publication number
EP4393137A1
EP4393137A1 EP22860690.1A EP22860690A EP4393137A1 EP 4393137 A1 EP4393137 A1 EP 4393137A1 EP 22860690 A EP22860690 A EP 22860690A EP 4393137 A1 EP4393137 A1 EP 4393137A1
Authority
EP
European Patent Office
Prior art keywords
data
proxy
streaming
proxies
reducing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP22860690.1A
Other languages
German (de)
English (en)
Inventor
Eemil LAGERSPETZ
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Lempea Oy
Original Assignee
Lempea Oy
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Lempea Oy filed Critical Lempea Oy
Publication of EP4393137A1 publication Critical patent/EP4393137A1/fr
Pending legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/56—Provisioning of proxy services
    • H04L67/565—Conversion or adaptation of application format or content
    • H04L67/5651—Reducing the amount or size of exchanged application data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/10—Architectures or entities
    • H04L65/1045—Proxies, e.g. for session initiation protocol [SIP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60—Network streaming of media packets
    • H04L65/61—Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60—Network streaming of media packets
    • H04L65/61—Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio
    • H04L65/612—Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio for unicast
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/80—Responding to QoS
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/56—Provisioning of proxy services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • H04L67/63—Routing a service request depending on the request content or context
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/18—Service support devices; Network management devices

Definitions

  • streaming data is any digitally generated data that has no distinct ending, but instead is generated and processed incrementally and being meaningful without having access to all of the data generated.
  • Examples of streaming data vary and include, for example, a video feed of a surveillance or on-board camera, accurate position information of an autonomous car updated 100s of times in one second, and temperature readings of temperature sensors in remote places.
  • edge technology it is customary to place processing the streaming data into reduced data as close to the origin of the streaming data as possible, as moving the sometimes massive streaming data consumes a lot of transfer system or transfer network bandwidth, that is, transfer capacity in a time unit.
  • One of the problems associated with the prior art is that while the edge technology makes it possible to process large quantities of data close to the source, deploying, configuring and managing data transfer and communications systems has been problematic. In particular, allowing for a moving source of data has been challenging. This is because it is advantageous to keep the source of information as simple and off-the-shelf as possible. This makes it possible to transfer streaming information with known and inexpensive ways from the mobile data source.
  • the streaming data transfer system must be operated so that the streaming data is processed (e.g. reduced) as close to the source as possible. This has been problematic especially when no edge-technology specific features are used also in the data source. Also the management of complex transfer systems is challenging if the system operates in a distributed fashion in different transfer network units.
  • An object of the present invention is to provide a system and a method for an improved or even optimal placement of data processing of streaming data.
  • the transfer system in operation B), is configured to select the receiving data reducing proxy based on the computational loads of each of the data reducing systems to which the receiving data reducing proxy is attached. Computational load of the end point of the second streaming data channel is an advantageous factor when selecting the data reducing proxy.
  • each of the data sources comprises a video camera mounted on an automobile, the video camera arranged to view surroundings of the automobile, the first streaming data comprising video streaming data generated by the video camera.
  • Video camera is an advantageous source of streaming data with a wealth of poorly organized information on the surroundings of the video camera, from and along the path the automobile travels or moves.
  • the data reducing system comprises a server computer unit comprising one or more graphics processing units.
  • a graphics processing unit is an advantageous unit for performing complex, especially pattern recognition related tasks.
  • the reduced data comprises characterization of the one or more anomalies.
  • This embodiment features an advantageous complete train of data transfer from data source (an automobile mounted camera, e.g. a so-called dashcam) to final representation of data in the data output system (characterization of the anomalies, for example the location and size of potholes in the paved surfaces of streets).
  • the transfer system is governed by a containerized application orchestration platform arranged to deploy and manage containerized applications.
  • Containerized applications and their orchestration platforms are a systematic and robust way to manage the deployment and invocation of the entire transfer system.
  • the method comprises the steps of:
  • the method comprises executing the steps of the method in a transfer system according to the transfer system and its embodiments as defined above.
  • Said transfer system is an advantageous system to execute the steps of the method.
  • a "data transfer system” and a “transfer system” mean the same entity, as the primary purpose of the transfer system is to transfer data over at least one network and over network related entities.
  • a "node” is a virtual or physical computing machine configured to perform computation and related communications into, out and within the virtual or physical machine.
  • a node may be, for example, a computer, a server computer or a telecommunications unit. Two different nodes and different types of nodes (for example a data input node and a data reducing node) may be executed in the same physical computing machine.
  • a “host” or “to host” means that a virtual or physical computing machine, for example a node, is configured to perform computation and related communications.
  • a “host” may provide computing services and input and output services to enable operations of a system within the virtual or physical computing machine, for example the node.
  • to "reduce data”, “reducing data”, “reduced data” and “process data into reduced data” means that a large unit of data is processed in a computing machine, for example a node or a data reducing system, and through said processing, a smaller, reduced unit of data is generated, the smaller unit representing some aspect or aspects of the information represented in the large unit of data, said information relevant e.g. for decision making and originating e.g. from the first streaming data.
  • artificial intelligence (Al) algorithms may be used to reduce data, for reducing data, to generate the reduced data or to process data into the reduced data.
  • Al artificial intelligence
  • neural network algorithms may be used to reduce data, for reducing data, to generate the reduced data or to process data into the reduced data.
  • bandwidth means the rate of data transfer across a given channel, measured in bits/second (s).
  • bandwidth For example, wireless LAN technology specified in IEEE standard 802.11b has a bandwidth of 11 Mbit/s, M for mega.
  • the deployed computer program or programs may be one or more service computer programs, which serve other service computer programs by taking input data as input, possibly provided by other service computer programs, and providing output data as output data.
  • a "computer application”, an “application”, a “computer program” or a “program” mean the same thing, a set of computer instructions that, when executed in a computer, cause the computer to perform the instructions contained in the computer application or in the computer program.
  • containerized or “container” means an operating system virtualization, through which one or more applications are executed in isolated user spaces called containers, all using the same shared operating system ("OS”).
  • OS shared operating system
  • a container is essentially a fully packaged and portable computing environment. The container comprises everything an application needs to run, that is, the container comprises binaries, libraries, configuration files and dependencies such that they are is encapsulated and isolated in its container. The container itself is abstracted away from the host operating system, with only limited access to underlying resources.
  • the containerized application may be run on various types of infrastructure or various types of nodes, within a server computer system, an embedded computer system, within virtual machines, and in the cloud.
  • Containerized applications are more efficient than pure virtualized applications as they do not need to set up a separate guest OS for each application. This is because containerized applications share the same OS kernel. Because of this high efficiency, containerization is commonly used for packaging up the many individual microservices that make up modern apps.
  • Each container is an executable package of software, running on top of a host OS.
  • a containerized application may comprise the top layer of a following stack of computing resources:
  • the bottom computing resource layer comprises a hardware of the infrastructure in question, including its CPU(s), disk storage and network interfaces.
  • the host OS layer comprises the host OS and its kernel, the kernel arranged to serve as a bridge between the software of the OS and the hardware of the underlying system.
  • the container engine layer comprises a container engine and its minimal guest OS, which are particular to the containerization technology being used.
  • the top layer comprises binaries and libraries for each application and the applications themselves, running in their isolated user spaces that are also called the "containers”.
  • streaming data means data that is continuously generated in at least one source. Streaming data is processed incrementally without having access to all of the data (which is a case for example with a downloaded data file).
  • An example of streaming data is a video streaming data feed, fed from an internet web camera.
  • latency or “network latency” means to the total end-to-end delay within a data transfer network, due to the combination of time of flight and processing delays within the transfer system, for example network adapters and switches.
  • a “round-trip time” is the amount of time it takes for a data transfer to be sent between two communicating units, plus the amount of time it takes for acknowledgement of that signal having been received. This time delay includes propagation times for the paths between the two communication endpoints.
  • Y may contribute to the derivation of X, but also other factors in addition to Y, for example Y2 and Y3, may contribute to the derivation of X without expressly stating that Y2 and Y3 may also contribute to said derivation.
  • a local area network means a telecommunications system or a computer network that comprises cables, access points, switches, routers, and other components that enable devices to connect to internal servers, web servers, and other LANs via wide area networks.
  • a "service mesh” is a dedicated mesh of interconnected data processing entities for facilitating system-to-system communications between said systems using a mesh of proxies.
  • a dedicated mesh of interconnected data processing entities can provide a number of benefits, such as providing observability into communications, providing secure connections, or automating retries and backoff for failed requests in the communication between said interconnected data processing entities.
  • To “attach”, “be attached” or “attaching” the data reducing proxy to the data reducing system may mean, for example, that the data reducing proxy and the data reducing system are configured to run in the same computer hardware or in the same cluster, and the data reducing system is configured to communicate with other parts of the transfer system through the data reducing proxy.
  • To “attach”, “be attached” or “attaching” the data input proxy to the data input system may mean that the data input proxy and the data input system are configured to run in the same computer hardware or in the same cluster, and the data input system is configured to communicate with other parts of the transfer system only through the data input proxy.
  • To “attach”, “be attached” or “attaching” the data reducing proxy to the data reducing system may mean, for example, that the data reducing proxy and the data reducing system are configured to run in the same computer hardware or in the same cluster, and the data reducing system is configured to communicate with other parts of the transfer system only through the data reducing proxy.
  • FIGS. 1 - 2b show transfer systems according to embodiments of the current invention
  • Figure 6 shows an embodiment related to a car mounted video camera generating first streaming data
  • Figure 7 shows an embodiment of a moving data source changing physical location and changing the sending of the first streaming data from one data input system to another
  • the transfer system 1 comprises data sources 10a, 10b configured to generate first streaming data 101, data input systems 20a, 20b, 20c configured to generate second streaming data 102 based on the first streaming data 101, and data reducing systems 30a, 30b, 30c configured to generate reduced data 103 based on the second streaming data 102.
  • the data source 10a, 10b may also be a sensor like temperature sensor or microphone mounted on a moving airborne vehicle, e.g. unmanned aerial vehicle, comprising a device for mobile network communications.
  • a moving airborne vehicle e.g. unmanned aerial vehicle, comprising a device for mobile network communications.
  • the transfer system 1 comprises a data output system 40. Purpose of the data output system 40 is to collect the reduced data 103 from the data reducing systems 30a, 30b, 30c for further analysis and output purposes.
  • the data output system 40 may be for example a computer system running an enterprise resource planning software.
  • the data output system 40 may be for example a web server arranged to publish data over the internet.
  • the transfer system 1 comprises also a service mesh 70.
  • the service mesh 70 comprises data input proxies 21a, 21b, 21c, data reducing proxies 31a, 31b, 31c, and a data output proxy 41.
  • the data input proxies 21a, 21b, 21c, the data reducing proxies 31a, 31b, 31c, and the data output proxy 41 may be interconnected also directly to one another with direct communications channels to control the operation of the service mesh 70.
  • the data output system 40 may be configured to communicate with other parts of the transfer system 1 only through the data output proxy 41 attached to the data output system 40.
  • the service mesh 70 is configured, as operation B), to route the second streaming data 102 from each of the data input proxies 21a, 21b, 21c to a receiving data reducing proxy 31a, 31b, 31c by selecting, for each of the data input proxies 21a, 21b, 21c, the receiving data reducing proxy 31a, 31b, 31c for the second streaming data 102.
  • the receiving data reducing proxy 31a, 31b, 31c is one of the data reducing proxies 31a, 31b, 31c.
  • the first streaming data channels 201 comprise a local area network, a wide area network, a wireless local area network or a cellular network, a computer bus, or any combination thereof.
  • a video feed as the first streaming data 101 of a mobile dash cam mounted inside a car as the data source 10a, 10b may contain sensitive material that must be taken into account in the routing.
  • efficiency of first streaming data transfer may also comprise rules related to privacy, as a data channel which is not feasible or even possible is clearly not efficient.
  • Efficiency of first streaming data transfer may also comprise rules related to data privacy.
  • the physical location of the data source 10a, 10b may change over time for a mobile data source 10a, 10b.
  • a video feed of a surveillance camera may contain sensitive material that must be taken into account in the routing.
  • the transfer system 1 is configured to select the receiving data reducing proxy 31a, 31b, 31c based on internet autonomous system related routing rules of the second streaming data channel 202. This is advantageous as crossing the borders of the internet autonomous systems in data routing often incurs extra costs for data transfer or slows down the data transfer, or both.
  • the transfer system 1 is configured to select the receiving data reducing proxy 31a, 31b, 31c based on any combination of network latency, network jitter, round-trip time, bandwidth, data access rules, privacy policies, internet autonomous system related routing rules of the second streaming data channel 202, or physical locations of each of the data reducing proxies 31a, 31b, 31c.
  • the transfer system 1 is configured to select the receiving data input proxy 21a, 21b, 21c based on traffic loads of each of the data input systems 20a, 20b, 20c to which the receiving data input proxy 21a, 21b, 21c is attached.
  • the service mesh 70 may be arranged to monitor the traffic loads to each of the data input systems 20a, 20b, 20c and make the selection on the receiving data input proxy 21a, 21b, 21c based on said monitoring.
  • the transfer system 1 is configured to select the receiving data reducing proxy 31a, 31b, 31c based on the computational loads of each of the data reducing systems 30a, 30b, 30c to which the receiving data reducing proxy 31a, 31b, 31c is attached.
  • the service mesh 70 may be arranged to monitor the traffic loads to each of the data reducing systems 30a, 30b, 30c and make the selection on the receiving data reducing proxy 31a, 31b, 31c based on said monitoring.
  • the data input system 20a, 20b comprises a cellular base station 22a.
  • the data reducing system 30a, 30b, 30c comprises a server computer unit 22bg comprising one or more graphics processing units 22g.
  • the data reducing system 30a, 30b, 30c is configured to detect and characterize one or more anomalies 15 in the surroundings 14.
  • the one or more anomalies 15 are represented by the video streaming data 10 lv.
  • the one or more anomalies 15 may comprise potholes at the road surface, cracks on the pawed surface of the road, large debris from the side of the road like rocks or cobblestones, fallen cargo from other automobiles like parcels etc.
  • the detection and characterization of the one or more anomalies 15 may be performed with pattern recognition, artificial intelligence or machine learning algorithms, or any combination thereof.
  • the first streaming data 101 produced by the data source 10a may comprise a video feed of one or more anomalies 15.
  • the reduced data 103 may comprise characterization of the one or more anomalies 15.
  • the characterization may be performed with pattern recognition, artificial intelligence or machine learning algorithms, or any combination thereof.
  • the data input systems 20a, 20b are arranged to run as containerized applications.
  • the data reducing systems 30a, 30b are arranged to run as containerized applications.
  • the data output system 40 is arranged to run as a containerized application.
  • the transfer system 1 is governed by a containerized application orchestration platform arranged to deploy and manage containerized applications.
  • the selection for the receiving data input proxy 21a, 21b, 21c changes from a current receiving data input proxy 2 leu (shown at time tl) to a new receiving data input proxy 21n (shown at time t2, later than time tl), both the current receiving data input proxy 2 leu and the new receiving data input proxy 21n being data input proxies 21a, 21b, 21c, the new receiving data input proxy 21n is configured to use network identity 24 of the current receiving data input proxy 21cu for the first streaming data channel 201 to receive the first streaming data 101 from the first streaming data channel 201.
  • the network identity of the new receiving data input proxy 21n is configured to be the same as the network identity of the current receiving data input proxy 21cu for the first streaming data channel 201 to receive the first streaming data 101 from the first streaming data channel 201.
  • the selection for the receiving data input proxy 21a, 21b, 21c changes from a current receiving data input proxy 2 leu to a new receiving data input proxy 2 In, both the current receiving data input proxy 21cu and the new receiving data input proxy 21n being data input proxies 21a, 21b, 21c, the new receiving data input proxy 2 In is configured to use network identity 24 of the current receiving data input proxy 2 leu for the first streaming data channel 201 to receive the first streaming data 101 from the first streaming data channel 201, the network identity being an internet domain name service (abbreviated as "DNS”) name 24n.
  • DNS internet domain name service
  • the network identity 24 of the receiving data input proxy 21a, 21b, 21c may be an internet domain name service (DNS) name 24n.
  • DNS internet domain name service
  • a method 300 for transferring streaming data in a transfer system 1 is disclosed.
  • the method 300 comprises, as step 302, providing, to the transfer system 1 data sources 10a, 10b.
  • the data sources 10a, 10b are configured to generate first streaming data 101.
  • the method 300 comprises, also in step 302, providing, to the transfer system 1 data input systems 20a, 20b, 20c which are configured to generate second streaming data 102 based on the first streaming data 101.
  • the method 300 comprises, also in step 302, providing, to the transfer system 1, data reducing systems 30a, 30b, 30c configured to generate reduced data 103.
  • the reduced data 103 is based on the second streaming data 102.
  • the method 300 comprises, also in step 302, providing, to the transfer system 1, a data output system 40.
  • the method 300 comprises, as step 303, providing, to the transfer system 1, a service mesh 70.
  • the service mesh 70 comprises data input proxies 21a, 21b, 21c, data reducing proxies 31a, 31b, 31c, and a data output proxy 41.
  • the method 300 comprises, in step 310, connecting the data sources 10a, 10b with the data input proxies 21a, 21b, 21c through first streaming data channels 201.
  • Said connection in step 310 may be performed e.g. with internet technologies.
  • the first streaming data channel 201 may be e.g. an internet based connection.
  • the method 300 comprises, in step 311, connecting the data input proxies 21a, 21b, 21c with the data reducing proxies 31a, 31b, 31c through second streaming data channels 202.
  • Said connection in step 311 may be performed e.g. with internet technologies.
  • the second streaming data channel 202 may be e.g. an internet based connection.
  • the method 300 comprises, as step 320, attaching each of the data input proxies 21a, 21b, 21c to one of the data input systems 20a, 20b, 20c.
  • the method 300 comprises, as step 321, attaching each of the data reducing proxies 31a, 31b, 31c to one of the data reducing systems 30a, 30b, 30c.
  • the method 300 comprises, as step 322, attaching the data output proxy 41 to the data output system 40.
  • the attaching in step 322, may comprise e.g. configuring the data output system 40 to communicate with the transfer system 1 only through the data output proxy 41 to the data output system 40.
  • the method 300 comprises, as step 331, feeding, by each of the data input proxies 21a, 21b, 21c, the first streaming data 101 to the data input system 20a, 20b, 20c to which the data input proxy 21a, 21b, 21c is attached.
  • the method 300 comprises, as step 332, sending, by each of the data input proxies 21a, 21b, 21c, the second streaming data 102 generated by the data input system 20a, 20b, 20c to which the data input proxy 21a, 21b, 21c is attached.
  • the method 300 comprises executing the steps of the method 300 in a transfer system 1 according to the transfer system aspect and its embodiments of the invention as defined above in the present text.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

L'invention concerne un système de transfert (1) pour transférer des données de diffusion en continu. Le système de transfert comprend des sources de données (10a, 10b) configurées pour générer des premières données en continu (101), des systèmes d'entrée de données (20a, 20b, 20c) configurés pour générer des secondes données en continu (102) basées sur les premières données en continu (101), des systèmes de réduction de données (30a, 30b, 30c) configurés pour générer des données réduites (103) basées sur les secondes données en continu (102), et un système de restitution de données (40). Le système de transfert comprend également un maillage de services (70) avec des serveurs mandataires d'entrée de données (21a, 21b, 21c), des serveurs mandataires de réduction de données (31a, 31b, 31c), et un serveur mandataire de sortie de données (41). Le transfert de données dans le système de transfert (1) est organisé par l'intermédiaire desdits serveurs mandataires vers et depuis les systèmes d'entrée de données (20a, 20b, 20c), les systèmes de réduction de données (30a, 30b, 30c) et le système de sortie de données (40). L'invention concerne également un procédé connexe (300).
EP22860690.1A 2021-08-25 2022-08-24 Système de transfert pour transférer des données de diffusion en continu, et procédé de transfert de données de diffusion en continu Pending EP4393137A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FI20215895A FI20215895A1 (en) 2021-08-25 2021-08-25 Transfer system for transferring streaming data, and method for transferring streaming data
PCT/FI2022/050544 WO2023025988A1 (fr) 2021-08-25 2022-08-24 Système de transfert pour transférer des données de diffusion en continu, et procédé de transfert de données de diffusion en continu

Publications (1)

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EP4393137A1 true EP4393137A1 (fr) 2024-07-03

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EP22860690.1A Pending EP4393137A1 (fr) 2021-08-25 2022-08-24 Système de transfert pour transférer des données de diffusion en continu, et procédé de transfert de données de diffusion en continu

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EP (1) EP4393137A1 (fr)
FI (1) FI20215895A1 (fr)
WO (1) WO2023025988A1 (fr)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9432704B2 (en) * 2011-11-06 2016-08-30 Akamai Technologies Inc. Segmented parallel encoding with frame-aware, variable-size chunking
US10536533B2 (en) * 2015-08-13 2020-01-14 Acronis International Gmbh Optimization of packetized data transmission in TCP-based networks
US11044162B2 (en) * 2016-12-06 2021-06-22 Cisco Technology, Inc. Orchestration of cloud and fog interactions
US10944804B1 (en) * 2017-11-22 2021-03-09 Amazon Technologies, Inc. Fragmentation of time-associated data streams

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WO2023025988A1 (fr) 2023-03-02

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