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1. WO2013159291 - WORKLOAD PREDICTION FOR NETWORK-BASED COMPUTING

Publication Number WO/2013/159291
Publication Date 31.10.2013
International Application No. PCT/CN2012/074659
International Filing Date 25.04.2012
IPC
H04L 29/08 2006.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
29Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/-H04L27/136
02Communication control; Communication processing
06characterised by a protocol
08Transmission control procedure, e.g. data link level control procedure
CPC
G06F 15/173
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
15Digital computers in general
16Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
163Interprocessor communication
173using an interconnection network, e.g. matrix, shuffle, pyramid, star, snowflake
G06F 2209/5019
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
2209Indexing scheme relating to G06F9/00
50Indexing scheme relating to G06F9/50
5019Workload prediction
G06F 9/50
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
46Multiprogramming arrangements
50Allocation of resources, e.g. of the central processing unit [CPU]
G06F 9/505
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
46Multiprogramming arrangements
50Allocation of resources, e.g. of the central processing unit [CPU]
5005to service a request
5027the resource being a machine, e.g. CPUs, Servers, Terminals
505considering the load
G06Q 10/06
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
10Administration; Management
06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
H04L 12/1485
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
12Data switching networks
02Details
14Metering,; charging ; or billing; arrangements ; specially adapted for data wireline or wireless communications
1485Tariff-related aspects
Applicants
  • EMPIRE TECHNOLOGY DEVELOPMENT LLC [US]/[US] (AllExceptUS)
  • SHEN, Zhen [CN]/[CN] (UsOnly)
  • SONG, Xuefeng [CN]/[CN] (UsOnly)
Inventors
  • SHEN, Zhen
  • SONG, Xuefeng
Agents
  • CHINA SCIENCE PATENT & TRADEMARK AGENT LTD.
Priority Data
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) WORKLOAD PREDICTION FOR NETWORK-BASED COMPUTING
(FR) PRÉDICTION DE CHARGE POUR UN SYSTÈME INFORMATIQUE BASÉ SUR UN RÉSEAU
Abstract
(EN)
Technologies are generally described for systems and methods effective to efficiently schedule a workload in a cloud computing system. In one example, calendar data is collected from respective sets of devices associated with respective sets of subscribers and a workload to be performed at a specific time or range of time is predicted based in part on an analysis of calendar data. Moreover, timing data associated with a set of predicted requests is determined based on the analysis and at least a portion of cloud computing resources that service the set of predicted requests are dynamically scheduled based on timing data.
(FR)
La présente invention se rapporte à des systèmes et à des procédés adaptés pour programmer une charge de manière efficace dans un système informatique en nuage. Dans l'un des exemples de la présente invention : des données de calendrier sont collectées à partir d'ensembles respectifs de dispositifs associés à des ensembles respectifs d'abonnés ; et une charge devant être exécutée à un moment spécifique ou à l'intérieur d'une plage de temps spécifique est prédite, au moins en partie, sur la base d'une analyse des données de calendrier. D'autre part, des données de synchronisation associées à un ensemble de demandes prédites sont déterminées sur la base de l'analyse ; et au moins une partie de ressources informatiques en nuage qui sont utilisées pour l'ensemble de demandes prédites est programmée de façon dynamique sur la base des données de synchronisation.
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