Title:
MICROSERVICE-ORIENTED NANOSECOND-LEVEL POWER RESOURCE ALLOCATION METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2021/073085
Kind Code:
A1
Abstract:
A microservice-oriented nanosecond-level power resource allocation method and system. The method comprises: adopting a flexible power consumption budget method to divide allocatable power corresponding to each microservice according to a unique power consumption performance model thereof so as to eliminate macroscopic regulation and control delay; then adopting a local power consumption modulation design to bypass a power consumption management and control program of a server system layer, and directly invoking a voltage modulation module on a processor chip to execute a power consumption allocation process for each microservice so as to eliminate microscopic execution delay; and finally, recording and updating the adjustment results of the flexible power consumption budget method and the local power consumption modulation design by means of a transparent mapping mechanism to realize optimal allocation of power resources. According to the present invention, the energy-saving potential brought by a heterogeneous microservice is fully mined, so that the target of energy-saving limitation of a conventional data center is further broken through.
Inventors:
LI CHAO (CN)
HOU XIAOFENG (CN)
GUO MINYI (CN)
HOU XIAOFENG (CN)
GUO MINYI (CN)
Application Number:
PCT/CN2020/090959
Publication Date:
April 22, 2021
Filing Date:
May 19, 2020
Export Citation:
Assignee:
SHANGHAI JIAOTONG UNIVERISTY (CN)
International Classes:
G06F9/50
Foreign References:
| CN110825518A | 2020-02-21 | |||
| CN105631196A | 2016-06-01 | |||
| US20180254996A1 | 2018-09-06 |
Other References:
HOU XIAOFENG XFHELEN@SJTU.EDU.CN; LIU JIACHENG LIUJIACHENG@SJTU.EDU.CN; LI CHAO LICHAO@CS.SJTU.EDU.CN; GUO MINYI GUO-MY@CS.SJTU.ED: "Unleashing the Scalability Potential of Power-Constrained Data Center in the Microservice Era", PROCEEDINGS OF THE 48TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING , ICPP 2019, ACM PRESS, NEW YORK, NEW YORK, USA, 5 August 2019 (2019-08-05) - 8 August 2019 (2019-08-08), New York, New York, USA, pages 1 - 10, XP058456105, ISBN: 978-1-4503-6295-5, DOI: 10.1145/3337821.3337857
YANG ZHE; NGUYEN PHUONG; JIN HAIMING; NAHRSTEDT KLARA: "MIRAS: Model-based Reinforcement Learning for Microservice Resource Allocation over Scientific Workflows", 2019 IEEE 39TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS), IEEE, 7 July 2019 (2019-07-07), pages 122 - 132, XP033651844, DOI: 10.1109/ICDCS.2019.00021
PAREKH NIKUNJ; KURUNJI SWATHI; BECK ALAN: "Monitoring Resources of Machine Learning Engine In Microservices Architecture", 2018 IEEE 9TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON), IEEE, 1 November 2018 (2018-11-01), pages 486 - 492, XP033498895, DOI: 10.1109/IEMCON.2018.8614791
LIU, XIAODONG ET AL.: "Service-capacity-model based auto-scaling of resource provisioning mechanism for microservices", HIGH TECHNOLOGY LETTERS, vol. 29, no. 1, 31 January 2019 (2019-01-31), pages 1 - 11, XP055802959, ISSN: 1002-0470
YANG ZHE; NGUYEN PHUONG; JIN HAIMING; NAHRSTEDT KLARA: "MIRAS: Model-based Reinforcement Learning for Microservice Resource Allocation over Scientific Workflows", 2019 IEEE 39TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS), IEEE, 7 July 2019 (2019-07-07), pages 122 - 132, XP033651844, DOI: 10.1109/ICDCS.2019.00021
PAREKH NIKUNJ; KURUNJI SWATHI; BECK ALAN: "Monitoring Resources of Machine Learning Engine In Microservices Architecture", 2018 IEEE 9TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON), IEEE, 1 November 2018 (2018-11-01), pages 486 - 492, XP033498895, DOI: 10.1109/IEMCON.2018.8614791
LIU, XIAODONG ET AL.: "Service-capacity-model based auto-scaling of resource provisioning mechanism for microservices", HIGH TECHNOLOGY LETTERS, vol. 29, no. 1, 31 January 2019 (2019-01-31), pages 1 - 11, XP055802959, ISSN: 1002-0470
Attorney, Agent or Firm:
SHANGHAI JIAODA PATENT AGENCY et al. (CN)
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