WO2023074939A1 - Procédé de délestage informatique reposant sur une plateforme onem2m - Google Patents

Procédé de délestage informatique reposant sur une plateforme onem2m Download PDF

Info

Publication number
WO2023074939A1
WO2023074939A1 PCT/KR2021/015266 KR2021015266W WO2023074939A1 WO 2023074939 A1 WO2023074939 A1 WO 2023074939A1 KR 2021015266 W KR2021015266 W KR 2021015266W WO 2023074939 A1 WO2023074939 A1 WO 2023074939A1
Authority
WO
WIPO (PCT)
Prior art keywords
offloading
gateway
cloud
offloaded
unit
Prior art date
Application number
PCT/KR2021/015266
Other languages
English (en)
Korean (ko)
Inventor
이석준
성낙명
최충재
Original Assignee
한국전자기술연구원
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 한국전자기술연구원 filed Critical 한국전자기술연구원
Publication of WO2023074939A1 publication Critical patent/WO2023074939A1/fr

Links

Images

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
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/104—Peer-to-peer [P2P] networks
    • H04L67/1074—Peer-to-peer [P2P] networks for supporting data block transmission mechanisms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5083—Techniques for rebalancing the load in a distributed system
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/70—Admission control; Resource allocation
    • H04L47/82—Miscellaneous aspects
    • H04L47/822—Collecting or measuring resource availability 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
    • H04L65/40—Support for services or applications
    • 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
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Definitions

  • the present invention relates to oneM2M platform application technology, and more particularly, to a method for performing computing offloading based on the oneM2M platform.
  • Computing offloading is a technique for securing available computing resources by having another device process a unit task that consumes a lot of computing resources in a situation where available computing resources are insufficient.
  • a method for stably providing IoT services is required by specifically defining an offloading procedure in an IoT-cloud environment using the oneM2M platform.
  • the present invention has been made to solve the above problems, and an object of the present invention is to provide a oneM2M platform-based computing offloading method as a method for providing a stable IoT service.
  • a computing offloading method includes: detecting, by a gateway to which IoT devices are connected, a lack of available computing resources; selecting unit tasks to be offloaded by the gateway when a lack of available computing resources is detected; requesting, by the gateway, offloading of the selected unit work to the cloud through the M2M platform; and processing, by the cloud, unit work according to the offloading request.
  • a computing offloading method includes the steps of determining, by a gateway, available network resources; If offloading is not possible with the identified available network resources, the gateway secures the network resources; and the request step may be performed when the network resources are secured.
  • network resources are secured by adjusting the data communication cycle, and in the selecting step, a unit task that uses the most resources may be selected as a unit task to be offloaded.
  • a computing offloading method may include requesting, by a gateway, an M2M platform to create a resultant resource to store result data of a unit task to be offloaded; Generating, by the M2M platform, a resource as a result of the gateway's request; requesting, by the cloud, to create an input resource to store input data of the offloaded unit task from the M2M platform;
  • the M2M platform may further include generating an input resource requested by the cloud.
  • a computing offloading method includes, by a gateway, storing input data of an offloaded unit task in an input resource; receiving and processing the input data stored in the input resource, and storing result data in the result resource, by the cloud; The method may further include receiving, by the gateway, result data of an offloaded unit work stored in a result resource.
  • a computing offloading method may include requesting, by a gateway, an offloading end for an offloaded unit task to a cloud through an M2M platform;
  • the cloud may further include terminating offloading of the offloaded unit work.
  • the computing offloading method further includes the step of determining, by the gateway, available network resources, and the offloading termination request step is performed when stable service cannot be provided with the identified available network resources. It can be.
  • the computing offloading method further includes determining whether the gateway can process the offloaded unit task with currently available computational resources, and the offloading termination request step includes currently available computational resources. It can be performed when it is determined that the offloaded unit work can be handled with resources.
  • the computing offloading method may further include securing, by the gateway, network resources when it is determined that the offloaded unit task cannot be processed with currently available computing resources.
  • IoT devices are connected, detect whether there is a shortage of available computational resources, and when the shortage of available computational resources is detected, the gateway selects unit tasks to be offloaded and a gateway requesting offloading for the selected unit work; an M2M platform that forwards offloading requests from the gateway to the cloud; It includes a cloud that processes unit tasks according to offloading requests.
  • a computing offloading method includes: detecting, by a gateway to which IoT devices are connected, a lack of available computing resources; selecting unit tasks to be offloaded by the gateway when a lack of available computing resources is detected; and requesting, by the gateway, offloading of the selected unit work to the cloud through the M2M platform.
  • the gateway the communication unit for communicating with the IoT devices and the M2M platform;
  • a processor that detects a lack of available computing resources, selects unit tasks to be offloaded when the lack of available computing resources is detected, and requests offloading of the selected unit tasks to the cloud through the M2M platform.
  • IoT services can be stably provided by specifically defining an offloading procedure in an IoT-cloud environment using the oneM2M platform.
  • FIG. 1 is a configuration diagram of an IoT-cloud system to which the present invention is applicable;
  • FIG. 2 is a flowchart provided to explain a computing offloading method according to an embodiment of the present invention
  • 4 is a diagram showing a resource scheme of the oneM2M platform
  • FIG. 7 is a diagram showing the configuration of a cloud
  • FIG. 9 is a diagram showing the configuration of a gateway.
  • a oneM2M platform-based computing offloading method is presented. Specifically, when a gateway lacking available computing resources offloads its own unit work, a method of utilizing the oneM2M platform located between the gateway and the cloud is proposed.
  • the IoT-cloud system to which the present invention is applicable includes a cloud 110, a oneM2M platform 120, a plurality of gateways 130, and a plurality of IoT devices 140.
  • the IoT devices 140 are devices attached to or embedded in various things, perform various functions according to needs and purposes, and may generate data including sensors.
  • the gateways 130 collect data generated by the IoT devices 140 and deliver them to the oneM2M platform 120 . In this process, the gateways 130 may process the collected data and deliver it to the oneM2M platform 120.
  • the oneM2M platform 120 provides M2M services using data collected through gateways 130 .
  • the cloud 110 provides a cloud service using data collected in the oneM2M platform 120 .
  • the gateway 130 requests computing offloading to the cloud 110 when available computational resources to perform data processing are insufficient, and the cloud 110 processes it.
  • the gateway 130 requests computing offloading to the cloud 110 when available computational resources to perform data processing are insufficient, and the cloud 110 processes it.
  • FIG. 2 is a flowchart provided to explain a computing offloading method according to an embodiment of the present invention.
  • the gateway 130 detects whether or not its currently available computational resources are insufficient (S210).
  • the computing resources refer to resources such as CPU, GPU, and memory. Insufficient available computational resources means that available computational resources are smaller than computational resources required for the gateway 130 to provide a stable service.
  • the gateway 130 selects a unit job that consumes the most computational resources among the unit jobs being processed by the gateway 130 as a unit job to be offloaded (S220).
  • the gateway 130 determines whether offloading of the selected unit task is impossible due to lack of currently available network resources of the gateway 130 (S230).
  • S230 the gateway 130 determines whether offloading of the selected unit task is impossible due to lack of currently available network resources of the gateway 130.
  • step S240 is not performed.
  • the gateway 130 requests offloading of the unit task selected in step S220 to the cloud 110 through the oneM2M platform 120 (S250). Then, the cloud 110 processes the offloading requested in step S250 (S260).
  • steps S250 and S260 will be described in detail with reference to FIG. 3 below.
  • 3 is a detailed flowchart of steps S250 and S260.
  • the gateway 130 first requests the oneM2M platform 120 to create a result resource to store the result data of the unit task selected in step S220 of FIG. 2 (S305). Accordingly, the oneM2M platform 120 creates a resource as a result of the request of the gateway 130 (S310).
  • step S310 is a diagram illustrating a resource scheme of the oneM2M platform 120.
  • the resulting resources generated in step S310 are the container resources (CNT) in the second row among the resources of the oneM2M platform 120 shown in FIG. 4, and the container instances (CIN) stored there correspond to the result data. do.
  • the gateway 130 requests offloading of unit tasks from the cloud 110 through the oneM2M platform 120 (S315 and S320).
  • Step S315 is performed by a process of creating a container instance (CIN) in which offloading properties are recorded in the container resources (CNT) in the first row among the resources of the oneM2M platform 120 shown in FIG. 4, and S320 Step S315 is performed by a process in which the oneM2M platform 120 notifies the cloud 110 that the corresponding container instance (CIN) has been created.
  • CIN container instance
  • CNT container resources
  • the cloud 110 Upon receiving the offloading request, the cloud 110 creates a task to process the unit work to be offloaded (S325). Then, the cloud 110 requests the oneM2M platform 120 to create an input resource to store the input data of the unit work (S330). Accordingly, the oneM2M platform 120 creates an input resource requested by the cloud 110 (S335).
  • the input resources created in step S335 are the container resources (CNT) in the third row among the resources of the oneM2M platform 120 shown in FIG. 4, and the container instances (CIN) stored there correspond to the input data. do.
  • the gateway 130 stores the input data of the unit work selected in step S220 of FIG. 2 in the input resource created in step S335 (S340)
  • the oneM2M platform 120 transfers the input data stored in the input resource to the cloud ( 110) (S345).
  • the cloud 110 processes the input data received in step S345 as the task created in step S325 (S350), and stores the resulting data in the resource created in step S310 (S355). Then, the oneM2M platform 120 delivers the result data stored in the result resource to the gateway 130 (S360).
  • Steps S340 to S360 are repeated until the unit task ends or the offloading of the unit task ends.
  • 5 is a flowchart provided to explain an offloading termination method according to another embodiment of the present invention. For an offloaded unit task, it is performed when offloading is not to be performed in the future.
  • the gateway 130 detects whether or not its currently available network resources are insufficient (S410).
  • lack of available network resources means that available network resources are smaller than network resources required for the gateway 130 to provide a stable service.
  • the gateway 130 checks whether there is an offloaded unit task (S420).
  • the gateway 130 determines whether the offloaded unit task can be processed with its currently available computing resources (S430).
  • the gateway 130 requests the cloud 110 to terminate offloading for the unit task confirmed in step S420 through the oneM2M platform 120 (S440).
  • the cloud 110 ends the offloading requested to end in step S440 (S450).
  • the gateway 130 does not end the offloading By adjusting the data communication cycle, network resources are secured (S460), thereby solving the problem of lack of available network resources.
  • steps S440 and S450 will be described in detail with reference to FIG. 6 below. 6 is a detailed flowchart of steps S440 and S450.
  • the gateway 130 requests the cloud 110 through the oneM2M platform 120 to terminate offloading for the unit task identified in step S420 of FIG. 4 (S510 and S520).
  • Step S510 is performed by deleting the container instance (CIN) containing the offloading attribute created in the container resource (CNT) in the first row among the resources of the oneM2M platform 120 shown in FIG. 4,
  • Step S520 is performed by a process in which the oneM2M platform 120 notifies the cloud 110 that the corresponding container instance (CIN) has been deleted in step S510.
  • the gateway 130 requests the oneM2M platform 120 to delete the input resource of the unit task to end offloading (S530). Accordingly, the oneM2M platform 120 deletes the input resource requested by the gateway 130 (S540).
  • the cloud 110 that has received the offloading end request in step S520 deletes the task that has processed the unit work to end the offloading, and ends the offloading (S550).
  • the cloud 110 requests the oneM2M platform 120 to delete the resource as a result of the offloading completed unit task (S560). Accordingly, the oneM2M platform 120 deletes the resource as a result of the deletion request from the cloud 110 (S570).
  • the cloud 110 may be implemented as a server system including a network resource 111 , a computing resource 112 , and a storage resource 113 .
  • the network resource 111 is a communication means for communicating with the oneM2M platform 120
  • the computing resource 112 is a means for providing a cloud service
  • the storage resource 113 is a means for storing necessary data.
  • the computing resource 112 performs procedures that the cloud 110 needs to perform in an offloading or offloading termination process.
  • the oneM2M platform 120 can be implemented as a server system including a communication unit 121, a processor 122, and a storage unit 123.
  • the communication unit 121 is a communication means for communicating with the cloud 110 and the gateways 130, and the processor 122 includes at least one Application Entity (AE) and Common Service Entity (CSE). AEs may not be included.
  • AE Application Entity
  • CSE Common Service Entity
  • the processor 122 performs procedures that the oneM2M platform 120 must perform in an offloading or offloading termination process.
  • the storage unit 123 is a storage in which data contained in resources is stored.
  • the gateway 130 may be implemented as a server system including a communication unit 131, a processor 132, and a storage unit 113.
  • the communication unit 131 is a communication means for communicating with the IoT device 140 and the oneM2M platform 120
  • the processor 132 is a means for collecting and processing data
  • the storage unit 113 is a means for storing necessary data. is a means for
  • the processor 132 performs procedures to be performed by the gateway 130 in an offloading or offloading termination process.
  • the oneM2M platform 120 means an M2M platform conforming to the oneM2M standard.
  • the technical idea of the present invention can be applied even when the oneM2M platform 120 is replaced with another M2M platform based on another standard.
  • the unit work of the gateway 130 is offloaded to the cloud 110, but this is only an example for convenience of description.
  • the technical concept of the present invention can be applied even when offloading to a gateway other than the cloud 110 is performed.
  • the technical spirit of the present invention can also be applied to a computer-readable recording medium containing a computer program for performing the functions of the apparatus and method according to the present embodiment.
  • technical ideas according to various embodiments of the present invention may be implemented in the form of computer readable codes recorded on a computer readable recording medium.
  • the computer-readable recording medium may be any data storage device that can be read by a computer and store data.
  • the computer-readable recording medium may be ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical disk, hard disk drive, and the like.
  • computer readable codes or programs stored on a computer readable recording medium may be transmitted through a network connected between computers.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

L'invention concerne un procédé de délestage informatique reposant sur une plateforme oneM2M. Dans le procédé de délestage informatique selon un mode de réalisation de la présente invention, une passerelle à laquelle des dispositifs IoT sont connectés détecte s'il existe une insuffisance de ressources informatiques disponibles et sélectionne des tâches unitaires à délester lorsqu'une insuffisance de ressources informatiques disponibles est détectée, et lorsque le délestage des tâches unitaires sélectionnées est demandé à un nuage par l'intermédiaire d'une plateforme M2M, le nuage traite les tâches unitaires conformément à la demande de délestage. En conséquence, un service IoT peut être fourni de manière stable en définissant spécifiquement une procédure de délestage dans un environnement IoT-nuage à l'aide de la plateforme oneM2M.
PCT/KR2021/015266 2021-10-28 2021-10-28 Procédé de délestage informatique reposant sur une plateforme onem2m WO2023074939A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2021-0145079 2021-10-28
KR1020210145079A KR102547103B1 (ko) 2021-10-28 2021-10-28 oneM2M 플랫폼 기반 컴퓨팅 오프로딩 방법

Publications (1)

Publication Number Publication Date
WO2023074939A1 true WO2023074939A1 (fr) 2023-05-04

Family

ID=86158085

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2021/015266 WO2023074939A1 (fr) 2021-10-28 2021-10-28 Procédé de délestage informatique reposant sur une plateforme onem2m

Country Status (2)

Country Link
KR (1) KR102547103B1 (fr)
WO (1) WO2023074939A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20170049367A (ko) * 2015-10-28 2017-05-10 한국전자통신연구원 패스트 데이터 분석을 위한 엣지 기반 로드 쉐딩 시스템 및 그 운영방법
KR20170071381A (ko) * 2015-12-15 2017-06-23 경희대학교 산학협력단 멀티-에이전트 기반 코드 오프로딩을 수행하는 모바일 포그 컴퓨팅 시스템 및 그 방법
US20190124573A1 (en) * 2016-06-08 2019-04-25 Huawei Technologies Co., Ltd. Access Point Switching Method and Apparatus
KR20210018499A (ko) * 2018-07-06 2021-02-17 현대자동차주식회사 리소스 관리 방법 및 장치
KR20210072956A (ko) * 2019-12-10 2021-06-18 한국전자기술연구원 IoT 환경에서의 엣지 클라우드 컴퓨테이션 오프로딩 방법

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101856857B1 (ko) * 2016-09-09 2018-05-11 현대오트론 주식회사 메시지 통신 부하 제어 장치 및 방법
KR102027682B1 (ko) * 2018-02-08 2019-10-02 한국과학기술원 부분적 계산 오프로딩을 위한 모바일 클라우드 네트워크의 로드밸런싱 방법 및 그 시스템

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20170049367A (ko) * 2015-10-28 2017-05-10 한국전자통신연구원 패스트 데이터 분석을 위한 엣지 기반 로드 쉐딩 시스템 및 그 운영방법
KR20170071381A (ko) * 2015-12-15 2017-06-23 경희대학교 산학협력단 멀티-에이전트 기반 코드 오프로딩을 수행하는 모바일 포그 컴퓨팅 시스템 및 그 방법
US20190124573A1 (en) * 2016-06-08 2019-04-25 Huawei Technologies Co., Ltd. Access Point Switching Method and Apparatus
KR20210018499A (ko) * 2018-07-06 2021-02-17 현대자동차주식회사 리소스 관리 방법 및 장치
KR20210072956A (ko) * 2019-12-10 2021-06-18 한국전자기술연구원 IoT 환경에서의 엣지 클라우드 컴퓨테이션 오프로딩 방법

Also Published As

Publication number Publication date
KR102547103B1 (ko) 2023-06-23
KR20230060644A (ko) 2023-05-08

Similar Documents

Publication Publication Date Title
WO2014193037A1 (fr) Procédé et système pour accélérer une opération mapreduce
WO2012050293A1 (fr) Procédé et appareil permettant de partager des contenus à l'aide d'informations de changement de groupe dans un environnement de réseau orienté contenu
WO2014112811A1 (fr) Procédé et appareil de gestion de trafic dans un dispositif électronique
WO2013085194A1 (fr) Procédé et appareil d'équilibrage de charges dans un système de communication
WO2013122360A1 (fr) Procédé, système et support d'enregistrement pour analyser une configuration de réseau dynamique d'application mobile
WO2012161409A1 (fr) Procédé et dispositif permettant d'assurer un service dans un réseau
CN113986811B (zh) 一种高性能内核态网络数据包加速方法
WO2013176431A1 (fr) Système et procédé pour allouer un serveur à un serveur et pour une messagerie efficace
WO2013147441A1 (fr) Appareil et procédé de programmation, pour équilibrer une charge lors de l'exécution d'une pluralité d'opérations de transcodage
WO2018117301A1 (fr) Passerelle ido permettant de fournir simultanément des services ido locaux et mondiaux
WO2013027920A1 (fr) Système de distribution pour l'analyse de trafic haute capacité en temps réel, et procédé pour l'analyse de trafic en temps réel dans un système de distribution
WO2023074939A1 (fr) Procédé de délestage informatique reposant sur une plateforme onem2m
WO2015068929A1 (fr) Procédé de fonctionnement d'un nœud considérant les caractéristiques de paquets dans un réseau centré sur le contenu et nœud
WO2020101223A1 (fr) Procédé de fourniture d'api dans une informatique en nuage sans serveur
WO2018182065A1 (fr) Procédé d'association d'abonnement à ressources multiples dans un système m2m
WO2018105867A1 (fr) Serveur destiné à fournir un service en nuage et procédé d'exploitation associé
WO2022131404A1 (fr) Système et procédé d'analyse de données sur dispositif
WO2014137008A1 (fr) Système et procédé pour le partage d'une ressource graphique
WO2013085089A1 (fr) Procédé d'utilisation de ressource de réseau de communication dans un environnement de nuage m2m et système correspondant
WO2021101055A1 (fr) Procédé de fourniture de service dans un réseau périphérique comprenant de multiples points d'accès, et système associé
WO2019212268A1 (fr) Procédé et dispositif pour gérer un noeud mobile de contrôleur sdn
WO2019107596A1 (fr) Procédé de configuration d'une api de contrôle de données basée sur l'onem2m
WO2014073763A1 (fr) Procédé de commande de vitesse de connexion ethernet en mode d'économie d'énergie et appareil de formation d'image le mettant en œuvre
WO2012077966A1 (fr) Appareil et procédé de retrait de code malveillant
WO2013122361A1 (fr) Procédé, système et support d'enregistrement pour gérer des informations sur les politiques en vue de réduire la charge du réseau

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21962564

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE