[go: up one dir, main page]

Fang et al., 2019 - Google Patents

A neural-network enhanced modeling method for real-time evaluation of the temperature distribution in a data center

Fang et al., 2019

Document ID
4351094391891877002
Author
Fang Q
Li Z
Wang Y
Song M
Wang J
Publication year
Publication venue
Neural Computing and Applications

External Links

Snippet

The thermal predicting/evaluating model of data centers is pivotal in designing their thermal control systems. The existing modeling methods are based on the computational fluid dynamics (CFD) simulations, which is accurate in modeling for a steady-state flow pattern …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F1/00Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
    • G06F1/16Constructional details or arrangements
    • G06F1/20Cooling means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • G06F2217/78Power analysis and optimization
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00Systems involving the use of models or simulators of said systems
    • G05B17/02Systems involving the use of models or simulators of said systems electric
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05KPRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
    • H05K7/00Constructional details common to different types of electric apparatus
    • H05K7/20Modifications to facilitate cooling, ventilating, or heating
    • H05K7/20709Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks

Similar Documents

Publication Publication Date Title
Fang et al. A neural-network enhanced modeling method for real-time evaluation of the temperature distribution in a data center
Athavale et al. Comparison of data driven modeling approaches for temperature prediction in data centers
Athavale et al. Artificial neural network based prediction of temperature and flow profile in data centers
Song et al. Airflow and temperature distribution optimization in data centers using artificial neural networks
US7644051B1 (en) Management of data centers using a model
US10684598B1 (en) Building management system with efficient model generation for system identification
Li et al. Thermocast: a cyber-physical forecasting model for datacenters
Asgari et al. Hybrid surrogate model for online temperature and pressure predictions in data centers
MirhoseiniNejad et al. Holistic thermal-aware workload management and infrastructure control for heterogeneous data centers using machine learning
Ran et al. Optimizing data center energy efficiency via event-driven deep reinforcement learning
US7620613B1 (en) Thermal management of data centers
Khalaj et al. Multi-objective efficiency enhancement using workload spreading in an operational data center
CN117413147A (en) Dynamic predictive control method, device and system for precision air conditioning
Berezovskaya et al. Modular model of a data centre as a tool for improving its energy efficiency
Wang et al. Task scheduling with ANN-based temperature prediction in a data center: a simulation-based study
KR20120054016A (en) Knowledge-based models for data centers
Fang et al. Control-oriented modeling and optimization for the temperature and airflow management in an air-cooled data-center
Zapater et al. Runtime data center temperature prediction using grammatical evolution techniques
Liu et al. Real-time temperature predictions via state-space model and parameters identification within rack-based cooling data centers
Simon et al. Artificial neural network based prediction of control strategies for multiple air-cooling units in a raised-floor data center
Zhang et al. Residual physics and post-posed shielding for safe deep reinforcement learning method
Mirhoseininejad et al. A data-driven, multi-setpoint model predictive thermal control system for data centers
Lin et al. Multi-objective cooling control optimization for air-liquid cooled data centers using TCN-BiGRU-Attention-based thermal prediction models
Wang et al. Model and data driven transient thermal system modelings for contained data centers
Athavale et al. Genetic algorithm based cooling energy optimization of data centers