Page 103 - 《软件学报》2025年第5期
P. 103

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
   98   99   100   101   102   103   104   105   106   107   108