DISAGGREGATED DATA STORAGE AND RETRIEVAL SYSTEM

A method (82) for reconfiguring a system (10) to store and retrieve data in a data server, the method comprising:monitoring (84) current performance data for the system, the current performance data comprising data regarding one or more of storage performance and retrieval performance;monitoring (86...

Full description

Saved in:
Bibliographic Details
Main Authors CLEGG, James Hilton, CHATZIELEFTHERIOU, Andromachi, STEFANOVICI, Ioan Alexandru, LEGTCHENKO, Serguei Anatolievitch, DONNELLY, Austin Nicholas, DIACONU, Raluca Andreea, BLACK, Richard John, GAUNT, Alexander Lloyd, OGUS, Aaron William, DREVINSKAS, Rokas, THOMSEN, Benn Charles, WILLIAMS, Hugh David Paul, PHILLIPS, Douglas Wayne, ANDERSON, Patrick Neil, NOWOZIN, Reinhard Sebastian Bernhard, DAINTY, John Christopher, GOMEZ DIAZ, Ariel, LARA SAUCEDO, David, ROWSTRON, Antony Ian Taylor, GEORGIOU, Andreas, YANG, Mengyang
Format Patent
LanguageEnglish
French
German
Published 24.03.2021
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:A method (82) for reconfiguring a system (10) to store and retrieve data in a data server, the method comprising:monitoring (84) current performance data for the system, the current performance data comprising data regarding one or more of storage performance and retrieval performance;monitoring (86) current workload data for the system, the current workload data comprising data regarding one or more of storage demand and retrieval demand;forming (88) a feature vector for a machine-learning model, the feature vector comprising the current performance data, the current workload data, and data related to a target performance of the system;providing (90) the feature vector to the machine-learning model;obtaining (92) from the machine-learning model an output of one or more actions to take to adjust a current state of the system based upon the target performance of the system; andimplementing (94) the one or more actions to adjust the current state of the system.
Bibliography:Application Number: EP20190724980