WO2022021240A1 - Procédé et système de planification avec sensibilité thermique - Google Patents
Procédé et système de planification avec sensibilité thermique Download PDFInfo
- Publication number
- WO2022021240A1 WO2022021240A1 PCT/CN2020/105938 CN2020105938W WO2022021240A1 WO 2022021240 A1 WO2022021240 A1 WO 2022021240A1 CN 2020105938 W CN2020105938 W CN 2020105938W WO 2022021240 A1 WO2022021240 A1 WO 2022021240A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- servers
- server
- server cluster
- operating modes
- operating mode
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000001816 cooling Methods 0.000 claims abstract description 120
- 238000013135 deep learning Methods 0.000 claims description 4
- 238000012549 training Methods 0.000 claims description 4
- 238000005192 partition Methods 0.000 description 11
- 238000012545 processing Methods 0.000 description 11
- 238000013480 data collection Methods 0.000 description 9
- 238000004891 communication Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 238000003062 neural network model Methods 0.000 description 6
- 230000002093 peripheral effect Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000003491 array Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 239000010454 slate Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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]
- G06F9/5094—Allocation of resources, e.g. of the central processing unit [CPU] where the allocation takes into account power or heat criteria
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/16—Constructional details or arrangements
- G06F1/20—Cooling means
- G06F1/206—Cooling means comprising thermal management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/28—Supervision thereof, e.g. detecting power-supply failure by out of limits supervision
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
- G06F1/3215—Monitoring of peripheral devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3234—Power saving characterised by the action undertaken
- G06F1/329—Power saving characterised by the action undertaken by task scheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Human Computer Interaction (AREA)
- Cooling Or The Like Of Electrical Apparatus (AREA)
Abstract
L'invention concerne un procédé de planification avec sensibilité thermique basé sur des modes de fonctionnement de composants de refroidissement. Un système de planification peut recevoir une tâche à affecter à une grappe de serveurs comprenant une pluralité de serveurs. Le système de planification peut estimer ou déterminer des modes de fonctionnement respectifs de composants de refroidissement de la pluralité de serveurs en se basant au moins en partie sur des informations de puissance et d'état de performances de la pluralité de serveurs et des informations d'environnement de la grappe de serveurs en utilisant des modèles correspondants d'estimation de modes de fonctionnement. Le système de planification peut ensuite sélectionner un serveur parmi la pluralité de serveurs d'après les modes de fonctionnement respectifs, et affecter au serveur sélectionné la tâche à affecter.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202080104888.7A CN116458140A (zh) | 2020-07-30 | 2020-07-30 | 热感知调度方法和系统 |
PCT/CN2020/105938 WO2022021240A1 (fr) | 2020-07-30 | 2020-07-30 | Procédé et système de planification avec sensibilité thermique |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2020/105938 WO2022021240A1 (fr) | 2020-07-30 | 2020-07-30 | Procédé et système de planification avec sensibilité thermique |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2022021240A1 true WO2022021240A1 (fr) | 2022-02-03 |
Family
ID=80037415
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2020/105938 WO2022021240A1 (fr) | 2020-07-30 | 2020-07-30 | Procédé et système de planification avec sensibilité thermique |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN116458140A (fr) |
WO (1) | WO2022021240A1 (fr) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1643476A (zh) * | 2002-03-18 | 2005-07-20 | 国际商业机器公司 | 管理多计算机服务器的功耗的方法 |
US20100211810A1 (en) * | 2009-02-13 | 2010-08-19 | American Power Conversion Corporation | Power supply and data center control |
US20100228861A1 (en) * | 2009-03-04 | 2010-09-09 | International Business Machines Corporation | Environmental and computing cost reduction with improved reliability in workload assignment to distributed computing nodes |
US20130191676A1 (en) * | 2012-01-24 | 2013-07-25 | Hitachi, Ltd. | Operation management method of information processing system |
CN103777737A (zh) * | 2013-08-15 | 2014-05-07 | 中华电信股份有限公司 | 基于服务器资源负载及位置感知的云端机房节能方法 |
-
2020
- 2020-07-30 WO PCT/CN2020/105938 patent/WO2022021240A1/fr active Application Filing
- 2020-07-30 CN CN202080104888.7A patent/CN116458140A/zh active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1643476A (zh) * | 2002-03-18 | 2005-07-20 | 国际商业机器公司 | 管理多计算机服务器的功耗的方法 |
US20100211810A1 (en) * | 2009-02-13 | 2010-08-19 | American Power Conversion Corporation | Power supply and data center control |
US20100228861A1 (en) * | 2009-03-04 | 2010-09-09 | International Business Machines Corporation | Environmental and computing cost reduction with improved reliability in workload assignment to distributed computing nodes |
US20130191676A1 (en) * | 2012-01-24 | 2013-07-25 | Hitachi, Ltd. | Operation management method of information processing system |
CN103777737A (zh) * | 2013-08-15 | 2014-05-07 | 中华电信股份有限公司 | 基于服务器资源负载及位置感知的云端机房节能方法 |
Also Published As
Publication number | Publication date |
---|---|
CN116458140A (zh) | 2023-07-18 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ilager et al. | Thermal prediction for efficient energy management of clouds using machine learning | |
Xia et al. | Phone2Cloud: Exploiting computation offloading for energy saving on smartphones in mobile cloud computing | |
JP6359716B1 (ja) | 分散型コンピューティングにおける低速タスクの診断 | |
Yi et al. | Toward efficient compute-intensive job allocation for green data centers: A deep reinforcement learning approach | |
US20200104184A1 (en) | Accelerated resource allocation techniques | |
US7958219B2 (en) | System and method for the process management of a data center | |
US8756441B1 (en) | Data center energy manager for monitoring power usage in a data storage environment having a power monitor and a monitor module for correlating associative information associated with power consumption | |
Etemadi et al. | A cost-efficient auto-scaling mechanism for IoT applications in fog computing environment: a deep learning-based approach | |
Mirmohseni et al. | Using Markov learning utilization model for resource allocation in cloud of thing network | |
WO2021042339A1 (fr) | Procédé, dispositif et système d'entraînement de modèle et de régulation de dissipation de chaleur et support de stockage | |
CN109831524A (zh) | 一种负载均衡处理方法及装置 | |
EP3465966B1 (fr) | Noeud de réseau et procédé d'exploitation associé pour la distribution de ressources | |
Jiang et al. | An edge computing platform for intelligent operational monitoring in internet data centers | |
Khallouli et al. | Cluster resource scheduling in cloud computing: literature review and research challenges | |
WO2021071636A1 (fr) | Plafonnement de puissance basé sur l'apprentissage automatique et placement de machine virtuelle dans des plateformes en nuage | |
Nguyen et al. | Modeling multi-constrained fog-cloud environment for task scheduling problem | |
Magotra et al. | Adaptive computational solutions to energy efficiency in cloud computing environment using VM consolidation | |
Kumar et al. | Novel Dynamic Scaling Algorithm for Energy Efficient Cloud Computing. | |
WO2022021240A1 (fr) | Procédé et système de planification avec sensibilité thermique | |
CN111083201B (zh) | 一种工业物联网中数据驱动制造服务的节能资源分配方法 | |
US11656981B2 (en) | Memory reduction in a system by oversubscribing physical memory shared by compute entities supported by the system | |
Acun et al. | Neural network-based task scheduling with preemptive fan control | |
Chaudhry et al. | Thermal prediction models for virtualized data center servers by using thermal-profiles | |
Su et al. | Node capability aware resource provisioning in a heterogeneous cloud | |
Son et al. | Stochastic distributed data stream partitioning using task locality: design, implementation, and optimization |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WWE | Wipo information: entry into national phase |
Ref document number: 202080104888.7 Country of ref document: CN |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 20947060 Country of ref document: EP Kind code of ref document: A1 |