Cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment

Lu Zhang; Yifei Pu; Cheng Xu; Du Liu; Zeyi Lin; Xiaofeng Hou; Pu Yang; Shang Yue; Chao Li; Minyi Guo

doi:10.1007/978-3-031-21395-3_12

Cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment

Lu Zhang, Yifei Pu, Cheng Xu, Du Liu, Zeyi Lin, Xiaofeng Hou, Pu Yang, Shang Yue, Chao Li^*, Minyi Guo

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

Abstract

The lack of function-oriented power management scheme has seriously hindered the serverless platform’s cost efficiency. In this paper, we analyze the invocation pattern of serverless functions and investigate its implications on server energy efficiency. Rather than using a one-size-fits-all strategy, we propose DAC, a software-hardware co-design solution to offer differentiated cloud-native server consolidation. We build a proof-of-concept framework and show that DAC can improve the energy efficiency of tail function deployment by up to 23%.

Original language	English
Title of host publication	Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Proceedings
Editors	Shaoshan Liu, Xiaohui Wei
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	120-126
Number of pages	7
ISBN (Print)	9783031213946
DOIs	https://doi.org/10.1007/978-3-031-21395-3_12
Publication status	Published - 2022
Externally published	Yes
Event	19th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2022 - Jinan, China Duration: 24 Sept 2022 → 25 Sept 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13615 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2022
Country/Territory	China
City	Jinan
Period	24/09/22 → 25/09/22

Bibliographical note

Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Cloud-native consolidation
Serverless
Tail functions

Access to Document

10.1007/978-3-031-21395-3_12

Cite this

Zhang, L., Pu, Y., Xu, C., Liu, D., Lin, Z., Hou, X., Yang, P., Yue, S., Li, C., & Guo, M. (2022). Cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment. In S. Liu, & X. Wei (Eds.), Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Proceedings (pp. 120-126). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13615 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-21395-3_12

Zhang, Lu ; Pu, Yifei ; Xu, Cheng et al. / Cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment. Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Proceedings. editor / Shaoshan Liu ; Xiaohui Wei. Springer Science and Business Media Deutschland GmbH, 2022. pp. 120-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment",

abstract = "The lack of function-oriented power management scheme has seriously hindered the serverless platform{\textquoteright}s cost efficiency. In this paper, we analyze the invocation pattern of serverless functions and investigate its implications on server energy efficiency. Rather than using a one-size-fits-all strategy, we propose DAC, a software-hardware co-design solution to offer differentiated cloud-native server consolidation. We build a proof-of-concept framework and show that DAC can improve the energy efficiency of tail function deployment by up to 23\%.",

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author = "Lu Zhang and Yifei Pu and Cheng Xu and Du Liu and Zeyi Lin and Xiaofeng Hou and Pu Yang and Shang Yue and Chao Li and Minyi Guo",

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doi = "10.1007/978-3-031-21395-3\_12",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

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Zhang, L, Pu, Y, Xu, C, Liu, D, Lin, Z, Hou, X, Yang, P, Yue, S, Li, C & Guo, M 2022, Cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment. in S Liu & X Wei (eds), Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13615 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 120-126, 19th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2022, Jinan, China, 24/09/22. https://doi.org/10.1007/978-3-031-21395-3_12

Cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment. / Zhang, Lu; Pu, Yifei; Xu, Cheng et al.
Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Proceedings. ed. / Shaoshan Liu; Xiaohui Wei. Springer Science and Business Media Deutschland GmbH, 2022. p. 120-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13615 LNCS).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

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AU - Zhang, Lu

AU - Pu, Yifei

AU - Xu, Cheng

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AU - Hou, Xiaofeng

AU - Yang, Pu

AU - Yue, Shang

AU - Li, Chao

AU - Guo, Minyi

PY - 2022

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N2 - The lack of function-oriented power management scheme has seriously hindered the serverless platform’s cost efficiency. In this paper, we analyze the invocation pattern of serverless functions and investigate its implications on server energy efficiency. Rather than using a one-size-fits-all strategy, we propose DAC, a software-hardware co-design solution to offer differentiated cloud-native server consolidation. We build a proof-of-concept framework and show that DAC can improve the energy efficiency of tail function deployment by up to 23%.

AB - The lack of function-oriented power management scheme has seriously hindered the serverless platform’s cost efficiency. In this paper, we analyze the invocation pattern of serverless functions and investigate its implications on server energy efficiency. Rather than using a one-size-fits-all strategy, we propose DAC, a software-hardware co-design solution to offer differentiated cloud-native server consolidation. We build a proof-of-concept framework and show that DAC can improve the energy efficiency of tail function deployment by up to 23%.

KW - Cloud-native consolidation

KW - Serverless

KW - Tail functions

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DO - 10.1007/978-3-031-21395-3_12

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Proceedings

A2 - Liu, Shaoshan

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T2 - 19th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2022

Y2 - 24 September 2022 through 25 September 2022

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Zhang L, Pu Y, Xu C, Liu D, Lin Z, Hou X et al. Cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment. In Liu S, Wei X, editors, Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 120-126. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-21395-3_12