Page 103 - 《软件学报》2025年第5期
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温金凤 等: 服务器无感知平台性能度量研究 2003
[3] Wu YC, Dinh TTA, Hu GY, Zhang MH, Chee YM, Ooi BC. Serverless data science-are we there yet? A case study of model serving. In:
Proc. of the 2022 Int’l Conf. on Management of Data. Philadelphia: ACM, 2022. 1866–1875. [doi: 10.1145/3514221.3517905]
[4] Jiang JW, Gan SD, Liu Y, Wang FL, Alonso G, Klimovic A, Singla A, Wu WT, Zhang C. Towards demystifying serverless machine
learning training. In: Proc. of the 2021 Int’l Conf. on Management of Data. Xi’an: ACM, 2021. 857–871. [doi: 10.1145/3448016.
3459240]
[5] Li ZJ, Liu YS, Guo LS, Chen Q, Cheng JG, Zheng WL, Guo MY. FaaSFlow: Enable efficient workflow execution for function-as-a-
service. In: Proc. of the 27th ACM Int’l Conf. on Architectural Support for Programming Languages and Operating Systems. Lausanne:
ACM, 2022. 782–796. [doi: 10.1145/3503222.3507717]
[6] Müller I, Marroquín R, Alonso G. Lambada: Interactive data analytics on cold data using serverless cloud infrastructure. In: Proc. of the
2020 ACM SIGMOD Int’l Conf. on Management of Data. Portland: ACM, 2020. 115–130. [doi: 10.1145/3318464.3389758]
[7] Zhang H, Tang YP, Khandelwal A, Chen JR, Stoica I. Caerus: NIMBLE task scheduling for serverless analytics. In: Proc. of the 18th
USENIX Symp. on Networked Systems Design and Implementation. USENIX Association, 2021. 653–669.
[8] https://docs.aws.amazon.com/lambda/latest/dg/welcome.html
[9] https://cloud.google.com/functions/docs/console-quickstart?hl=zh-cn
[10] https://docs.microsoft.com/en-us/azure/azure-functions/
[11] https://help.aliyun.com/document_detail/52895.html
[12] https://www.gartner.com/smarterwithgartner/the-cios-guide-to-serverless-computing
[13] https://www.researchandmarkets.com/reports/4828585/serverless-architecture-market-by-deployment
[14] Eismann S, Scheuner J, van Eyk E, Schwinger M, Grohmann J, Herbst N, Abad CL, Iosup A. The state of serverless applications:
Collection, characterization, and community consensus. IEEE Trans. on Software Engineering, 2022, 48(10): 4152–4166. [doi: 10.1109/
TSE.2021.3113940]
[15] https://www.serverless.com/blog/2018-serverless-community-survey-huge-growth-usage
[16] Li JF, Kulkarni SG, Ramakrishnan KK, Li D. Understanding open source serverless platforms: Design considerations and performance.
In: Proc. of the 5th Int’l Workshop on Serverless Computing. Davis: ACM, 2019. 37–42. [doi: 10.1145/3366623.3368139]
[17] Mohanty SK, Premsankar G, di Francesco M. An evaluation of open source serverless computing frameworks. In: Proc. of the 2018 IEEE
Int’l Conf. on Cloud Computing Technology and Science. Nicosia: IEEE, 2018. 115–120. [doi: 10.1109/CloudCom2018.2018.00033]
[18] https://openwhisk.apache.org/
[19] https://knative.dev/docs/
[20] Wen JF, Liu Y, Chen ZP, Chen JK, Ma Y. Characterizing commodity serverless computing platforms. Journal of Software: Evolution and
Process, 2023, 35(10): e2394. [doi: 10.1002/smr.2394]
[21] https://github.com/WenJinfeng/MeasurementStudy
[22] Wang YJ, Sun WD, Zhou S, Pei XQ, Li XY. Key technologies of distributed storage for cloud computing. Ruan Jian Xue Bao/Journal of
Software, 2012, 23(4): 962–986 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/4175.htm [doi: 10.3724/SP.J.1001.
2012.04175]
[23] Song J, Li TT, Yan ZX, Na J, Zhu ZL. Energy-efficiency model and measuring approach for cloud computing. Ruan Jian Xue
Bao/Journal of Software, 2012, 23(2): 200–214 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/4144.htm [doi: 10.
3724/SP.J.1001.2012.04144]
[24] Yu TY, Liu QY, Du D, Xia YB, Zang BY, Lu ZQ, Yang PC, Qin CG, Chen HB. Characterizing serverless platforms with
serverlessbench. In: Proc. of the 11th ACM Symp. on Cloud Computing. ACM, 2020. 30–44. [doi: 10.1145/3419111.3421280]
[25] Maissen P, Felber P, Kropf P, Schiavoni V. FaaSdom: A benchmark suite for serverless computing. In: Proc. of the 14th ACM Int’l Conf.
on Distributed and Event-based Systems. Montreal: ACM, 2020. 73–84. [doi: 10.1145/3401025.3401738]
[26] Kim J, Lee K. FunctionBench: A suite of workloads for serverless cloud function service. In: Proc. of the 12th IEEE Int’l Conf. on Cloud
Computing. Milan: IEEE, 2019. 502–504. [doi: 10.1109/CLOUD.2019.00091]
[27] Shahrad M, Fonseca R, Goiri Í, Chaudhry G, Batum P, Cooke J, Laureano E, Tresness C, Russinovich M, Bianchini R. Serverless in the
wild: Characterizing and optimizing the serverless workload at a large cloud provider. In: Proc. of the 2018 USENIX Annual Technical
Conf. USENIX Association, 2020. 14.
[28] Zhang M, Zhu YF, Zhang C, Liu JC. Video processing with serverless computing: A measurement study. In: Proc. of the 29th ACM
Workshop on Network and Operating Systems Support for Digital Audio and Video. Amherst: ACM, 2019. 61–66. [doi: 10.1145/
3304112.3325608]
[29] Wang L, Li MY, Zhang YQ, Ristenpart T, Swift M. Peeking behind the curtains of serverless platforms. In: Proc. of the 2018 USENIX