WO2015068897A9 - Procédé permettant de relayer un serveur de cloud - Google Patents

Procédé permettant de relayer un serveur de cloud Download PDF

Info

Publication number
WO2015068897A9
WO2015068897A9 PCT/KR2013/012141 KR2013012141W WO2015068897A9 WO 2015068897 A9 WO2015068897 A9 WO 2015068897A9 KR 2013012141 W KR2013012141 W KR 2013012141W WO 2015068897 A9 WO2015068897 A9 WO 2015068897A9
Authority
WO
WIPO (PCT)
Prior art keywords
cloud server
candidate
data amount
private cloud
private
Prior art date
Application number
PCT/KR2013/012141
Other languages
English (en)
Korean (ko)
Other versions
WO2015068897A1 (fr
Inventor
홍충선
라비 울 알람 엠디고람
Original Assignee
경희대학교 산학협력단
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 경희대학교 산학협력단 filed Critical 경희대학교 산학협력단
Priority claimed from KR1020130162750A external-priority patent/KR20150053675A/ko
Publication of WO2015068897A1 publication Critical patent/WO2015068897A1/fr
Publication of WO2015068897A9 publication Critical patent/WO2015068897A9/fr

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records

Definitions

  • the present invention relates to a mediation method of a cloud server, and more particularly, to a mediation method of a cloud server capable of processing request data of a service requester at the lowest cost by using a private cloud server or a public cloud server.
  • Cloud computing refers to a computer environment where information is permanently stored on servers on the Internet and temporarily stored on clients such as IT devices such as desktops, tablet computers, laptops, netbooks, and smartphones.
  • IT devices such as desktops, tablet computers, laptops, netbooks, and smartphones.
  • all user information is stored in a cloud server on the Internet, and this information can be used anytime and anywhere through various IT devices.
  • Cloud computing a revolutionary computing technology that provides IT-related services such as data storage, processing, network, and content usage in a cloud server on the Internet, represented as a cloud, is sometimes referred to as an on-demand outsourcing service for IT resources using the Internet.
  • cloud servers can be broadly classified into private cloud servers and public cloud servers.
  • Private cloud servers are cloud servers that private companies use to build and use cloud environments in their own data centers.
  • a cloud server provided by a provider (vendor) of cloud server and paid for by companies that need it.
  • Cloud servers are widely used in various fields, especially in the healthcare field, in order to collect and process vast amounts of healthcare information of users in conjunction with the ubiquitous environment, and to freely search the healthcare information of users anytime, anywhere. Is being used.
  • cloud servers are built by providers of various cloud servers and provided to service requesters.
  • the costs per unit data throughput provided by providers of each cloud server are different from each other, and the service requester is a technology for using cloud servers at low cost. Is required.
  • the present invention is to solve the problems of the conventional cloud service, the object of the present invention to achieve the mediation of the cloud server that can process the request data of the service requester at the lowest cost using a private cloud server or public cloud server To provide a way.
  • Another object of the present invention is to mediate the operator and service requester of the cloud server to increase the use efficiency of the cloud server from the point of view of the cloud server operator, the cloud server that can use the cloud server at a low cost for the service requester It is to provide a mediation method.
  • the mediation method of the cloud server comprises the steps of receiving information on the request data requested from the service requester in the mediation server, and the private cloud server or public ( plubic) receiving the usage information of the private cloud server and the public cloud server from the cloud server, the private cloud server or the public cloud server based on the information on the request data from the intermediary server, the usage information of the private cloud server and the public cloud server It characterized in that it comprises the step of selecting a combination of the cloud server for processing the request data at a minimum cost.
  • the usage information of the private cloud server or the public cloud server is characterized in that the availability of the private cloud server or the public cloud server, the cost per unit throughput, the amount of data that can be processed per private cloud server or public cloud server.
  • the information on the request data is characterized in that the request data amount requested by the service requester.
  • selecting a combination of cloud servers selects a candidate private cloud server or a candidate public cloud server currently available based on whether a private cloud server or a public cloud server is available. And sorting in the order of the lowest cost per unit throughput of the candidate private cloud server or the candidate public cloud server, and the processable amount of data of the candidate private cloud server or the candidate public cloud server sorted in the order of the lowest cost per unit throughput. Calculating a sequential cumulative sum data amount and selecting a candidate private cloud or a candidate public cloud whose sequential cumulative sum data amount exceeds a requested data amount for the first time as a combination of cloud servers.
  • selecting a combination of cloud servers includes selecting a currently available candidate private cloud server or candidate public cloud server based on whether a private cloud server or a public cloud server is available. And arranging in order of the lowest cost per unit throughput of the candidate public cloud server, calculating a sequential cumulative sum of the amount of data that can be processed in the candidate public cloud server arranged in the order of the lowest cost per unit throughput; If the requested data amount exceeds the sequential cumulative cumulative data amount, the candidate private cloud server determines whether the sequential cumulative cumulative data amount exceeds the requested data amount, and the final private data to process the difference data amount between the request data amount and the sequential cumulative cumulative data amount. Line cloud server And selecting the candidate public cloud and the final private cloud server as a combination of cloud servers.
  • the selecting of the final private cloud server may include determining whether the sequential cumulative cumulative data amount exceeds the requested data amount, and if the request data amount exceeds the sequential cumulative cumulative data amount, the candidate private cloud server and the sequential cumulative summation. Calculating a difference data amount between the data amounts, calculating a second sequential cumulative sum data amount of the data amount that can be processed by the candidate private cloud server, and the second sequential cumulative sum data amount exceeds the difference data amount for the first time. And selecting the final private cloud as a candidate private cloud.
  • the method of selecting a cloud server according to the present invention further comprises providing the service requester with information about the combination of cloud servers.
  • the request data received from the service requester is characterized in that the health care (healthcare) -related data.
  • the intermediary device of the cloud server is a transmission and reception unit for transmitting and receiving data with a service requester terminal, a private cloud server or a public cloud server, and a private cloud when receiving information on the request data from the service requester terminal
  • a mediation unit for selecting a combination of a private cloud server or a public cloud server for processing request data at a minimum cost based on the usage information of the private cloud server or the public cloud server received from the server or the public cloud server; It includes a providing unit for providing information on the combination of the selected cloud server to the service requester terminal through the transceiver.
  • An intermediary is a candidate selection unit for selecting a currently available candidate private cloud server or candidate public cloud server based on the availability of the private cloud server or public cloud server, and the candidate private cloud server or candidate Calculates the sequential cumulative sum of the amount of data that can be processed by the sorting unit sorting in the order of lower cost per unit throughput of the public cloud server and the order of the lowest cost per unit throughput of the candidate private cloud server or candidate public cloud server And a combination selection unit for selecting a candidate private cloud or a candidate public cloud in which the sequential cumulative total data amount exceeds the requested data amount for the first time as a combination of cloud servers.
  • the mediation unit may include a candidate selection unit for selecting a currently available candidate private cloud server or candidate public cloud server based on the availability of the private cloud server or the public cloud server, and a unit of the candidate public cloud server.
  • a sorting unit for sorting in the order of low cost per throughput a summation calculating unit for calculating the sequential cumulative sum of the amount of data that can be processed by the candidate public cloud servers sorted in a low cost per throughput order, and a sequential cumulative summating data Determining whether the amount exceeds the requested data amount, and when the requested data amount exceeds the sequential cumulative sum data amount, the candidate private cloud server selects a final private cloud server to process the difference data amount between the request data amount and the sequential cumulative sum data amount.
  • a candidate public cloud and private cloud end server characterized in that it comprises a combination of selection for selecting a combination of the cloud server.
  • the private cloud selecting unit is configured to determine whether the sequential cumulative cumulative data amount exceeds the requested data amount, and when the request data amount exceeds the sequential cumulative cumulative data amount, the candidate private cloud server between the request data amount and the sequential cumulative cumulative data amount.
  • a difference calculator for calculating the difference data amount
  • a second addition calculator for calculating the second sequential cumulative sum data amount of the data amount that can be processed by the candidate private cloud server, and a second sequential cumulative sum data amount for the first time of the difference data amount.
  • a final selection unit for selecting up to a candidate private cloud exceeding as a final private cloud.
  • the mediation method of a cloud server selects a combination of cloud servers to process request data based on usage information provided by a private cloud server or a public cloud server, thereby processing request data of a service requester at the lowest cost. Can be.
  • the mediation method of a cloud server mediates an operator and a service requestor of a cloud server, thereby enhancing the use efficiency of the cloud server and at the same time using the cloud server at a low cost.
  • FIG. 1 is a view for explaining a mediation system of a cloud server according to the present invention.
  • FIG. 2 is a functional block diagram illustrating a mediation apparatus of a cloud server according to an embodiment of the present invention.
  • FIG. 3 is a view for explaining an example of a database according to the present invention.
  • FIG. 4 is a functional block diagram illustrating an example of an intermediary unit according to the present invention.
  • 5 is a functional block diagram for explaining another example of the mediation unit according to the present invention.
  • FIG. 6 is a view for explaining in more detail the private cloud selection unit according to the present invention.
  • FIG. 7 is a flowchart illustrating a mediation method of a cloud server according to the present invention.
  • FIG. 8 illustrates an example of usage information received from a private cloud server or a public cloud server according to the present invention.
  • FIG. 9 is a flowchart illustrating an example of selecting a combination of cloud servers according to the present invention.
  • FIG. 10 is a view for explaining another example of the step of selecting a combination of the cloud server according to the present invention.
  • FIG. 11 illustrates an example in which the usage information of the cloud server received in the present invention is sorted in order of low cost per unit throughput.
  • FIG. 1 is a view for explaining a mediation system of a cloud server according to the present invention.
  • a plurality of service requester terminals 10 are connected to the network 20, and at the same time, a plurality of cloud servers 30 and cloud server intermediary devices 100 are connected to the network 20.
  • the network 20 may use various wired / wireless networks capable of transmitting and receiving data between the service requester terminal 10, the cloud server 30, and the cloud server intermediary device 100.
  • the service requester terminal 10 is a terminal possessed by a service requester for processing request data through the cloud server 30.
  • the service requester terminal processes a plurality of request data such as a large amount of healthcare data and a large amount of financial data.
  • the cloud server 30 is a server built by a cloud server operator and includes an application program and a storage space to store and manage request data of a service requester.
  • the cloud server 30 is largely provided with a common cloud server and a private cloud server mixed.
  • the service requester terminal 10 transmits information on the request data to the cloud server intermediary device 100 through the network 20, and the cloud server 30 is a cloud server 30. ) Is transmitted to the cloud server mediation server 100 via the network 20.
  • the information on the request data is the request data amount
  • the usage information on the cloud server is characterized in that the availability of the cloud server, the cost per unit data throughput, the total amount of data that can be processed for each cloud server.
  • the cloud server mediation server 100 receives the request data at a minimum cost among the cloud servers 30 based on the usage information received from the cloud server 30.
  • the combination of cloud servers to be processed is selected and information about the selected combination of cloud servers is provided to the service requester terminal 10.
  • FIG. 2 is a functional block diagram illustrating a mediation apparatus of a cloud server according to an embodiment of the present invention.
  • the transceiver 110 is connected to the network 20 to transmit and receive data with the service requester terminal 10, private cloud server or public cloud server. That is, the transceiver 110 receives the information on the request data from the service requester terminal 10 through the network 20 or transmits the information on the cloud server combination to the service requester terminal 10 through the network 20. do. In addition, the transceiver 110 receives the usage information on the cloud server from the cloud server 30. The usage information on the received cloud server is stored in the database 130.
  • the request data is a minimum cost of the private cloud server or the public cloud server based on the usage information on the cloud server stored in the database 130. Choose a combination of cloud servers to process.
  • the provider 140 transmits and controls the information about the combination of the cloud servers selected by the intermediary 120 to the service requester terminal 10 through the transceiver 110.
  • FIG. 3 is a view for explaining an example of a database according to the present invention.
  • the database includes a service requester database, a cloud server database, and a usage information database.
  • the service requester database stores information on personal information such as the name of the service requester, social security number, ID, password, and usage status of the cloud server intermediary device.
  • the cloud server database stores operator information about registered public cloud servers or private cloud servers, identifiers indicating whether the cloud server is a public cloud server or a private cloud server, an access address of the cloud server, and maximum processing capacity. have.
  • the usage information database stores real-time information about the cost per unit data throughput received from the cloud server, whether the private cloud server or the public cloud server is available, and the total amount of data currently available for processing by the private cloud server or the public cloud server.
  • FIG. 4 is a functional block diagram illustrating an example of an intermediary unit according to the present invention.
  • the candidate selector 121 selects a currently available cloud server as a candidate cloud server based on information on availability available from each cloud server 30.
  • the candidate cloud server may be selected by mixing a candidate private cloud server and a candidate public cloud server.
  • the alignment unit 122 sorts the candidate private cloud server or the candidate public cloud server in the order of the lowest cost per unit throughput based on the information about the cost per unit throughput of the selected candidate private cloud server or the candidate public cloud server.
  • the summation calculator 123 calculates the candidate private cloud server or the candidate public cloud server in the sorting order based on the information on the amount of data that can be processed by the candidate private cloud server or the candidate public cloud server in the order of low cost per unit throughput.
  • the cumulative cumulative total data amount is calculated by sequentially adding the amount of data that can be processed.
  • the combination selecting unit 124 selects a candidate private cloud or a candidate public cloud whose sequential cumulative total data amount exceeds the requested data amount for the first time as a combination of cloud servers.
  • 5 is a functional block diagram for explaining another example of the mediation unit according to the present invention.
  • the candidate selector 125 selects a currently available cloud server as a candidate cloud server based on information on availability available from each cloud server 30.
  • the candidate cloud server may be selected by mixing a candidate private cloud server and a candidate public cloud server.
  • the sorting unit 126 sorts the candidate public cloud servers in the order of the lowest cost per unit throughput based on the information about the cost per unit throughput of the selected candidate public cloud server.
  • the summation processing unit 127 calculates the sequential cumulative total data amount of the processable data amount of the candidate public cloud server arranged in the order of low cost per unit throughput, and the private cloud selecting unit 128 calculates the sequential cumulative sum data amount of the requested data. If the requested data amount exceeds the sequential cumulative sum data amount by determining whether the amount exceeds the amount, the candidate private cloud server selects a final private cloud server to process the difference data amount between the request data amount and the sequential cumulative sum data amount.
  • the combination selector 129 selects the candidate public cloud and the final private cloud server as a combination of cloud servers.
  • FIG. 6 is a view for explaining in more detail the private cloud selection unit according to the present invention.
  • the determination unit 210 determines whether the sequential cumulative total data amount exceeds the requested data amount.
  • the difference calculator 220 calculates a difference data amount between the request data amount and the sequential cumulative sum data amount.
  • the second alignment unit 230 sorts the candidate private cloud servers in the order of low cost per unit throughput of the candidate private cloud server.
  • the second summing calculator 240 sequentially adds the processable data amounts of the candidate private cloud servers in the sorting order based on the amount of data of the candidate private cloud servers arranged in the order of the lowest cost per unit throughput, and then adds the second data. Calculate the sequential cumulative sum data.
  • the final selector 250 selects up to a candidate private cloud server whose second sequential cumulative total data amount exceeds the difference data amount as a final private cloud server.
  • the previously selected candidate public cloud and the final private cloud server are selected as a combination of cloud servers.
  • FIG. 7 is a flowchart illustrating a mediation method of a cloud server according to the present invention.
  • the cloud server intermediary device receives a request message including information on request data to be processed from the service requester terminal, that is, information on the capacity of the request data (S110), Request the usage information to the registered public cloud server or private cloud server.
  • the public cloud server or private cloud server transmits real-time usage information of the public clanwood server or private cloud server to the cloud mediation server in response to a request of the cloud server mediation apparatus (S120).
  • the intermediary device of the cloud server selects a combination of a cloud server that processes the request data at a minimum cost among the private cloud server or the public cloud server based on the received information about the request data and the usage information of the private cloud server and the public cloud server. (S130).
  • the intermediary device of the cloud server transmits the information on the combination of the selected cloud server to the service requester terminal (S140).
  • FIG. 8 illustrates an example of usage information received from a private cloud server or a public cloud server according to the present invention.
  • the usage information received from the private cloud server or the public cloud server may include an identifier indicating whether the private cloud server or the public cloud server is available, information on whether the private cloud server or the public cloud server is currently available, Cost per unit throughput of the private cloud server or public cloud server, information about the total amount of data that the private cloud server or public cloud server can currently process.
  • FIG. 9 is a flowchart illustrating an example of selecting a combination of cloud servers according to the present invention.
  • a candidate private cloud server or a candidate public cloud server currently available is selected as a candidate cloud server based on whether a private cloud server or a public cloud server is available (S131). Regardless of the candidate private cloud server or the candidate public cloud server, the candidate private cloud server or the candidate public cloud server are arranged in the order of low cost per unit throughput (S133). Compute the amount of sequential cumulative sum of the amount of data that can be processed in the candidate private cloud server or the candidate public cloud server arranged in the order of low cost per unit throughput (S135), the sequential cumulative sum of the amount of data exceeds the requested data amount for the first time The candidate private cloud server or up to the candidate public cloud server is selected as a combination of cloud servers (S137).
  • the candidate cloud servers with 500 MB of request data and low cost per unit throughput of available cloud servers are sequentially cloud server 1, cloud server 2, cloud server 3, cloud server 4, cloud server 5
  • Cloud servers 1, 2, and 5 are public cloud servers
  • cloud servers 3 and 4 are private cloud servers
  • cloud servers 1, 2, 3, 4, and 5 are currently capable of processing 100MB, 200MB, 150MB, 100MB, 200MB, respectively. If the cumulative cumulative total data amount from the first to exceed the cloud server, that is, cloud server 1, 2, 3, 4 is selected as a cloud server combination.
  • FIG. 10 is a view for explaining another example of the step of selecting a combination of the cloud server according to the present invention.
  • the candidate private cloud server or candidate public cloud server currently available is selected as the candidate cloud server based on the availability of the private cloud server or the public cloud server (S231).
  • the costs per unit throughput of the candidate public cloud server are sorted in order of low cost per unit throughput to the candidate cloud server (S233), and the cumulative cumulative data of the amounts of data that can be processed by the candidate public cloud servers are arranged in order of low cost per unit throughput. Calculate the amount (S235).
  • a final private cloud server to process the difference data amount between the request data amount and the sequential cumulative total data amount is selected (S239).
  • the candidate public cloud server and the final private cloud server are selected as a combination of cloud servers.
  • the candidate private cloud server is sorted in order of lower cost per unit throughput, and then in order of lower cost per unit throughput. 2 Calculate the sequential cumulative total data amount.
  • the candidate private cloud server whose second sequential cumulative total data amount exceeds the difference data amount for the first time is selected as the final private cloud server.
  • candidate cloud servers with 500 MB of request data and low cost per unit throughput are sequentially cloud server 1, cloud server 2, cloud server 3, cloud server 4, cloud server 5, and cloud server 1, 2 , 3 is a public cloud server, cloud servers 4 and 5 are private cloud servers, and if the amount of data that can be processed on cloud servers 1, 2, 3, 4, and 5 are 100MB, 200MB, 150MB, 100MB, and 200MB, respectively, the public cloud first.
  • the cumulative cumulative total data amount of the server is calculated to determine whether the cumulative total data amount exceeds the requested data amount. If the cumulative total data amount exceeds the requested data amount, the combination is selected as a public cloud server.
  • the second cumulative cumulative data amount exceeds the difference data for the first time by sequentially calculating the second cumulative cumulative data amount in the order of low cost per unit throughput of the private cloud server.
  • cloud server 1 that is, cloud server 1, 2, 3, 4 is selected as the cloud server combination.
  • a cloud server to process request data is selected from a public cloud server based on the fact that the cost per unit throughput of the public cloud server is generally lower than the cost per unit throughput of the private cloud server. If the public cloud server cannot process all of the request data, the private cloud server is used to process the remaining request data, so that the cloud server to process the request data at the lowest cost can be brokered.
  • FIG. 11 illustrates an example in which the usage information of the cloud server received in the present invention is sorted in order of low cost per unit throughput.
  • the above-described embodiments of the present invention can be written as a program that can be executed in a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable recording medium.
  • the computer-readable recording medium may be an electronic or magnetic storage medium (eg, ROM, floppy disk, hard disk, etc.), optical reading medium (eg, CD-ROM, DVD, etc.) and carrier wave (eg Storage media, such as through the Internet).
  • ROM read-only memory
  • CD-ROM compact disc-read only memory
  • DVD digital versatile disc
  • carrier wave eg Storage media, such as through the Internet

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente invention a trait à un procédé permettant de relayer un serveur de Cloud, et plus particulièrement à un procédé permettant de relayer un serveur de Cloud et pouvant traiter le plus économiquement possible des données de demande d'un demandeur de service au moyen d'un serveur de Cloud privé ou d'un serveur de Cloud public.
PCT/KR2013/012141 2013-11-07 2013-12-24 Procédé permettant de relayer un serveur de cloud WO2015068897A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR20130135041 2013-11-07
KR10-2013-0135041 2013-11-07
KR1020130162750A KR20150053675A (ko) 2013-11-07 2013-12-24 클라우드 서버의 중개 방법
KR10-2013-0162750 2013-12-24

Publications (2)

Publication Number Publication Date
WO2015068897A1 WO2015068897A1 (fr) 2015-05-14
WO2015068897A9 true WO2015068897A9 (fr) 2015-07-09

Family

ID=53041654

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2013/012141 WO2015068897A1 (fr) 2013-11-07 2013-12-24 Procédé permettant de relayer un serveur de cloud

Country Status (1)

Country Link
WO (1) WO2015068897A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10810320B2 (en) 2017-12-01 2020-10-20 At&T Intellectual Property I, L.P. Rule based access to voluntarily provided data housed in a protected region of a data storage device

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109543902A (zh) * 2018-11-22 2019-03-29 湖南铁路科技职业技术学院 一种基于云服务的铁路运输数据管理优化调度方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101626117B1 (ko) * 2009-06-22 2016-05-31 삼성전자주식회사 클라우드 스토리지를 제공하는 클라이언트, 중개 서버 및 방법
US8370490B2 (en) * 2010-07-01 2013-02-05 International Business Machines Corporation Cloud service cost-optimal data center assignment
US9781205B2 (en) * 2011-09-12 2017-10-03 Microsoft Technology Licensing, Llc Coordination engine for cloud selection
US20130117157A1 (en) * 2011-11-09 2013-05-09 Gravitant, Inc. Optimally sourcing services in hybrid cloud environments
KR20130074952A (ko) * 2011-12-27 2013-07-05 한국과학기술정보연구원 클라우드 컴퓨팅 시스템 가이드 제공 장치 및 방법

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10810320B2 (en) 2017-12-01 2020-10-20 At&T Intellectual Property I, L.P. Rule based access to voluntarily provided data housed in a protected region of a data storage device
US11436355B2 (en) 2017-12-01 2022-09-06 Workday, Inc. Rule based access to voluntarily provided data housed in a protected region of a data storage device

Also Published As

Publication number Publication date
WO2015068897A1 (fr) 2015-05-14

Similar Documents

Publication Publication Date Title
WO2014069827A1 (fr) Système et procédé pour fournir un service d'analyse de données dans un environnement en nuage
WO2012169775A9 (fr) Système et procédé pour fournir une interface de service de contenu basée sur une api ouverte
WO2012067431A2 (fr) Appareil et procédé de distribution de ressources dans l'informatique en nuage
WO2012121482A2 (fr) Dispositif et procédé de traitement de cryptage de données d'un système de stockage de nuages
WO2013012278A2 (fr) Procédé et appareil pour gérer un contexte de dispositif utilisant une adresse ip dans un système de communication
CN109672721B (zh) 媒体文件推送方法、装置、服务端及计算机可读存储介质
WO2017104863A1 (fr) Système et procédé de conversion entre des données hétérogènes stockées par l'intermédiaire d'une api de collecte de données
CN110443647B (zh) 信息投放方法及设备
CN114338133B (zh) 应用访问系统、方法、通信装置及存储介质
WO2015068897A9 (fr) Procédé permettant de relayer un serveur de cloud
WO2013133545A1 (fr) Système de recherche et son procédé de fonctionnement
WO2018182065A1 (fr) Procédé d'association d'abonnement à ressources multiples dans un système m2m
WO2017052210A1 (fr) Procédé et appareil permettant de fournir un produit numérique au moyen d'une synchronisation de compte utilisateur
WO2019098584A1 (fr) Système et procédé de calcul de la fiabilité d'un utilisateur par rapport à un dispositif inconnu dans un environnement de l'internet des objets
CN110781066A (zh) 用户行为分析方法、装置、设备及存储介质
CN114125024B (zh) 音频传输方法、电子设备及可读存储介质
WO2017003012A1 (fr) Système et procédé de fourniture de ressources, et procédé associé de détermination de taxe d'utilisation de ressources
WO2015174644A1 (fr) Système d'envoi de publicité à un terminal d'utilisateur via un routeur sans fil, et serveur de fourniture de service de publicité
WO2016159484A1 (fr) Procédé et appareil permettant de partager un contenu personnalisé à l'aide d'informations d'utilisateur de terminal mobile
WO2024101843A1 (fr) Système de gouvernance de données et procédé de gestion de données pour système de gouvernance de données
WO2014021551A1 (fr) Procédé de traitement d'appartenance réalisé selon une demande d'enregistrement de franchise d'un client, et dispositif et système associés
JP2005018407A (ja) 画像検索装置
WO2018101547A1 (fr) Procédé de récupération de ressources
WO2013042809A1 (fr) Système et procédé de fourniture d'informations d'état d'utilisation courant d'une application
CN113055350A (zh) 数据传输方法、装置、设备及可读存储介质

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: 13897215

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 13897215

Country of ref document: EP

Kind code of ref document: A1