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1. (WO2018227015) RAPID PREDICTIVE ANALYSIS OF VERY LARGE DATA SETS USING AN ACTOR-DRIVEN DISTRIBUTED COMPUTATIONAL GRAPH
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Pub. No.: WO/2018/227015 International Application No.: PCT/US2018/036550
Publication Date: 13.12.2018 International Filing Date: 07.06.2018
IPC:
G06F 9/54 (2006.01) ,G06N 5/04 (2006.01) ,G06N 99/00 (2019.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
9
Arrangements for programme control, e.g. control unit
06
using stored programme, i.e. using internal store of processing equipment to receive and retain programme
46
Multiprogramming arrangements
54
Interprogramme communication
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5
Computer systems utilizing knowledge based models
04
Inference methods or devices
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
99
Subject matter not provided for in other groups of this subclass
Applicants:
FRACTAL INDUSTRIES, INC. [US/US]; 11091 Sunset Hill Road, Suite 210 Reston, VA 20190, US
Inventors:
CRABTREE, Jason; US
SELLERS, Andrew; US
UCHIYAMA, John; US
MACLEOD, Ian; US
Agent:
GALVIN, Brian, R.; US
Priority Data:
15/616,42707.06.2017US
Title (EN) RAPID PREDICTIVE ANALYSIS OF VERY LARGE DATA SETS USING AN ACTOR-DRIVEN DISTRIBUTED COMPUTATIONAL GRAPH
(FR) ANALYSE PRÉDICTIVE RAPIDE DE TRÈS GRANDS ENSEMBLES DE DONNÉES UTILISANT UN GRAPHE DE CALCUL DISTRIBUÉ ENTRAÎNÉ PAR UN ACTEUR
Abstract:
(EN) A system for predictive analysis of very large data, sets using an actor-driven distributed computational graph, wherein a pipeline orchestrator creates and manages individual data pipelines while providing data caching to enable interactions between specific activity actors within pipelines. Each pipeline then comprises a pipeline manager that creates and manages individual activity actors and directs operations within the pipeline while reporting back to the pipeline orchestrator.
(FR) La présente invention concerne un système pour l'analyse prédictive de très grands ensembles de données à l'aide d'un graphe de calcul distribué entraîné par un acteur, un orchestrateur de pipeline créant et gérant des pipelines de données individuels tout en fournissant une mise en cache de données pour permettre des interactions entre des acteurs d'activité spécifiques dans des pipelines. Chaque pipeline comprend ensuite un gestionnaire de pipeline qui crée et gère des acteurs d'activité individuels et dirige des opérations à l'intérieur du pipeline tout en envoyant des rapports à l'orchestrateur de pipeline.
Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)