IN2014DN07099A - - Google Patents

Info

Publication number
IN2014DN07099A
IN2014DN07099A IN7099DEN2014A IN2014DN07099A IN 2014DN07099 A IN2014DN07099 A IN 2014DN07099A IN 7099DEN2014 A IN7099DEN2014 A IN 7099DEN2014A IN 2014DN07099 A IN2014DN07099 A IN 2014DN07099A
Authority
IN
India
Prior art keywords
placement
default
component placement
computing device
components
Prior art date
Application number
Inventor
Klaus Satzke
Stefan Wahl
Original Assignee
Alcatel Lucent
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 Alcatel Lucent filed Critical Alcatel Lucent
Publication of IN2014DN07099A publication Critical patent/IN2014DN07099A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F9/5066—Algorithms for mapping a plurality of inter-dependent sub-tasks onto a plurality of physical CPUs
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/16—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
    • 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
    • H04L67/50—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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Multimedia (AREA)
  • Information Transfer Between Computers (AREA)
  • Document Processing Apparatus (AREA)

Abstract

The present document relates to cloud computing. In particular the present document relates to methods and systems for cloud computing which enable the efficient and flexible placement of application components within a cloud. A computing device (101) is described. The computing device (101) is adapted to receive a plurality of component placement requests for one or more components (703) of a corresponding plurality of applications (700); determine a plurality of feature vectors (203) from the plurality of component placement requests respectively; wherein each feature vector (203) comprises vector dimensions which describe different attributes of the respective component placement request: determine a plurality of placement decisions (205) regarding the plurality of component placement requests respectively: wherein each placement decision (205) comprises an indication of one or more executing computing devices (101) onto which the one or more components (703) of the respective application (700) have been placed; cluster the plurality of feature vectors (203) thereby yielding one or more clusters (202); wherein each cluster (202) comprises a default feature vector (203) describing the different attributes of a default component placement request; determine a default placement decision (205) for each of the one or more clusters; and store the one or more default feature vectors and the respective one or more default placement decisions (205) in a database (204) of the computing device (101).
IN7099DEN2014 2012-02-15 2013-01-28 IN2014DN07099A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP12305171.6A EP2629247B1 (en) 2012-02-15 2012-02-15 Method for mapping media components employing machine learning
PCT/EP2013/051563 WO2013120686A1 (en) 2012-02-15 2013-01-28 Method for mapping media components employing machine learning

Publications (1)

Publication Number Publication Date
IN2014DN07099A true IN2014DN07099A (en) 2015-04-24

Family

ID=47605553

Family Applications (1)

Application Number Title Priority Date Filing Date
IN7099DEN2014 IN2014DN07099A (en) 2012-02-15 2013-01-28

Country Status (7)

Country Link
US (1) US9684706B2 (en)
EP (1) EP2629247B1 (en)
JP (1) JP5921724B2 (en)
KR (1) KR101595763B1 (en)
CN (1) CN104115165B (en)
IN (1) IN2014DN07099A (en)
WO (1) WO2013120686A1 (en)

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Also Published As

Publication number Publication date
KR20140129137A (en) 2014-11-06
WO2013120686A1 (en) 2013-08-22
US20150066929A1 (en) 2015-03-05
EP2629247B1 (en) 2014-01-08
CN104115165A (en) 2014-10-22
KR101595763B1 (en) 2016-02-19
JP5921724B2 (en) 2016-05-24
JP2015515037A (en) 2015-05-21
CN104115165B (en) 2016-10-05
EP2629247A1 (en) 2013-08-21
US9684706B2 (en) 2017-06-20

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