faas‐sim : A trace‐driven simulation framework for serverless edge computing platforms
This paper presents faas‐sim , a simulation framework tailored to serverless edge computing platforms. In serverless computing, platform operators are tasked with efficiently managing distributed computing infrastructure completely abstracted from application developers. To that end, platform operat...
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| Published in: | Software, practice & experience Vol. 53; no. 12; pp. 2327 - 2361 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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Wiley Subscription Services, Inc
01.12.2023
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| ISSN: | 0038-0644, 1097-024X |
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| Abstract | This paper presents
faas‐sim
, a simulation framework tailored to serverless edge computing platforms. In serverless computing, platform operators are tasked with efficiently managing distributed computing infrastructure completely abstracted from application developers. To that end, platform operators and researchers need tools to design, build, and evaluate resource management techniques that efficiently use of infrastructure while optimizing application performance. This challenge is exacerbated in edge computing scenarios, where, compared to cloud computing, there is a lack of reference architectures, design tools, or standardized benchmarks.
faas‐sim
bridges this gap by providing (a) a generalized model of serverless systems that builds on the function‐as‐a‐service abstraction, (b) a simulator that uses trace data from real‐world edge computing testbeds and representative workloads, and (c) a network topology generator to model and simulate distributed and heterogeneous edge‐cloud systems. We present the conceptual design, implementation, and a thorough evaluation of
faas‐sim
. By running experiments on both real‐world test beds and replicating them using
faas‐sim
, we show that the simulator provides accurate results and reasonable simulation performance. We have profiled a wide range of edge computing infrastructure and workloads, focusing on typical edge computing scenarios such as edge AI inference or data processing. Moreover, we present several instances where we have successfully used
faas‐sim
to either design, optimize, or evaluate serverless edge computing systems. |
|---|---|
| AbstractList | This paper presents faas‐sim, a simulation framework tailored to serverless edge computing platforms. In serverless computing, platform operators are tasked with efficiently managing distributed computing infrastructure completely abstracted from application developers. To that end, platform operators and researchers need tools to design, build, and evaluate resource management techniques that efficiently use of infrastructure while optimizing application performance. This challenge is exacerbated in edge computing scenarios, where, compared to cloud computing, there is a lack of reference architectures, design tools, or standardized benchmarks. faas‐simbridges this gap by providing (a) a generalized model of serverless systems that builds on the function‐as‐a‐service abstraction, (b) a simulator that uses trace data from real‐world edge computing testbeds and representative workloads, and (c) a network topology generator to model and simulate distributed and heterogeneous edge‐cloud systems. We present the conceptual design, implementation, and a thorough evaluation of faas‐sim. By running experiments on both real‐world test beds and replicating them using faas‐sim, we show that the simulator provides accurate results and reasonable simulation performance. We have profiled a wide range of edge computing infrastructure and workloads, focusing on typical edge computing scenarios such as edge AI inference or data processing. Moreover, we present several instances where we have successfully used faas‐sim to either design, optimize, or evaluate serverless edge computing systems. This paper presents faas‐sim , a simulation framework tailored to serverless edge computing platforms. In serverless computing, platform operators are tasked with efficiently managing distributed computing infrastructure completely abstracted from application developers. To that end, platform operators and researchers need tools to design, build, and evaluate resource management techniques that efficiently use of infrastructure while optimizing application performance. This challenge is exacerbated in edge computing scenarios, where, compared to cloud computing, there is a lack of reference architectures, design tools, or standardized benchmarks. faas‐sim bridges this gap by providing (a) a generalized model of serverless systems that builds on the function‐as‐a‐service abstraction, (b) a simulator that uses trace data from real‐world edge computing testbeds and representative workloads, and (c) a network topology generator to model and simulate distributed and heterogeneous edge‐cloud systems. We present the conceptual design, implementation, and a thorough evaluation of faas‐sim . By running experiments on both real‐world test beds and replicating them using faas‐sim , we show that the simulator provides accurate results and reasonable simulation performance. We have profiled a wide range of edge computing infrastructure and workloads, focusing on typical edge computing scenarios such as edge AI inference or data processing. Moreover, we present several instances where we have successfully used faas‐sim to either design, optimize, or evaluate serverless edge computing systems. |
| Author | Dustdar, Schahram Rausch, Thomas Furutanpey, Alireza Raith, Philipp |
| Author_xml | – sequence: 1 givenname: Philipp orcidid: 0000-0003-3293-9437 surname: Raith fullname: Raith, Philipp organization: Distributed Systems Group TU Wien Wien Austria – sequence: 2 givenname: Thomas surname: Rausch fullname: Rausch, Thomas organization: Distributed Systems Group TU Wien Wien Austria – sequence: 3 givenname: Alireza surname: Furutanpey fullname: Furutanpey, Alireza organization: Distributed Systems Group TU Wien Wien Austria – sequence: 4 givenname: Schahram surname: Dustdar fullname: Dustdar, Schahram organization: Distributed Systems Group TU Wien Wien Austria |
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| References | e_1_2_12_4_1 e_1_2_12_6_1 e_1_2_12_19_1 e_1_2_12_2_1 e_1_2_12_17_1 e_1_2_12_38_1 e_1_2_12_20_1 e_1_2_12_41_1 e_1_2_12_66_1 e_1_2_12_22_1 e_1_2_12_43_1 e_1_2_12_64_1 e_1_2_12_24_1 e_1_2_12_45_1 e_1_2_12_26_1 e_1_2_12_47_1 e_1_2_12_68_1 e_1_2_12_62_1 e_1_2_12_83_1 e_1_2_12_60_1 e_1_2_12_81_1 e_1_2_12_28_1 e_1_2_12_49_1 e_1_2_12_31_1 e_1_2_12_52_1 e_1_2_12_77_1 e_1_2_12_33_1 e_1_2_12_75_1 e_1_2_12_35_1 e_1_2_12_56_1 Matloff N (e_1_2_12_25_1) 2009 e_1_2_12_37_1 e_1_2_12_58_1 e_1_2_12_79_1 e_1_2_12_14_1 e_1_2_12_12_1 e_1_2_12_8_1 e_1_2_12_10_1 e_1_2_12_73_1 e_1_2_12_50_1 e_1_2_12_71_1 e_1_2_12_3_1 e_1_2_12_5_1 e_1_2_12_18_1 e_1_2_12_16_1 e_1_2_12_39_1 e_1_2_12_42_1 e_1_2_12_65_1 e_1_2_12_21_1 e_1_2_12_44_1 e_1_2_12_63_1 e_1_2_12_23_1 e_1_2_12_46_1 e_1_2_12_69_1 e_1_2_12_48_1 e_1_2_12_67_1 e_1_2_12_80_1 e_1_2_12_61_1 e_1_2_12_84_1 e_1_2_12_40_1 e_1_2_12_82_1 e_1_2_12_27_1 e_1_2_12_29_1 e_1_2_12_30_1 e_1_2_12_53_1 e_1_2_12_76_1 e_1_2_12_32_1 e_1_2_12_55_1 e_1_2_12_74_1 e_1_2_12_34_1 e_1_2_12_57_1 e_1_2_12_36_1 Bertsekas D (e_1_2_12_54_1) 1996 e_1_2_12_59_1 e_1_2_12_78_1 e_1_2_12_15_1 e_1_2_12_13_1 e_1_2_12_11_1 e_1_2_12_72_1 e_1_2_12_7_1 e_1_2_12_51_1 e_1_2_12_70_1 e_1_2_12_9_1 |
| References_xml | – ident: e_1_2_12_52_1 – ident: e_1_2_12_20_1 doi: 10.1016/j.sysarc.2020.101956 – ident: e_1_2_12_16_1 doi: 10.1109/CCGrid51090.2021.00055 – ident: e_1_2_12_32_1 doi: 10.1109/SCC53864.2021.00038 – ident: e_1_2_12_38_1 doi: 10.1145/3419111.3421285 – ident: e_1_2_12_55_1 doi: 10.1109/INFCOM.1999.752159 – ident: e_1_2_12_81_1 doi: 10.1145/3542637.3542642 – ident: e_1_2_12_63_1 doi: 10.1007/978‐3‐642‐12331‐3_2 – ident: e_1_2_12_45_1 doi: 10.1016/j.comcom.2020.04.061 – ident: e_1_2_12_66_1 – ident: e_1_2_12_48_1 doi: 10.1016/j.simpat.2019.102042 – ident: e_1_2_12_28_1 doi: 10.1109/IC2E.2018.00043 – ident: e_1_2_12_18_1 doi: 10.1109/PDCAT46702.2019.00076 – ident: e_1_2_12_51_1 – ident: e_1_2_12_35_1 – ident: e_1_2_12_39_1 doi: 10.1145/3510611 – ident: e_1_2_12_4_1 doi: 10.1109/MIC.2023.3260939 – ident: e_1_2_12_65_1 – ident: e_1_2_12_12_1 – ident: e_1_2_12_58_1 doi: 10.1109/ICNP.1997.643715 – ident: e_1_2_12_30_1 doi: 10.1002/spe.2660 – ident: e_1_2_12_70_1 – ident: e_1_2_12_41_1 doi: 10.1109/FWC.2017.8368525 – ident: e_1_2_12_34_1 – ident: e_1_2_12_13_1 doi: 10.1145/2741948.2741964 – ident: e_1_2_12_19_1 doi: 10.1002/spe.2787 – ident: e_1_2_12_29_1 doi: 10.1016/j.future.2022.09.009 – ident: e_1_2_12_26_1 – ident: e_1_2_12_50_1 – ident: e_1_2_12_23_1 doi: 10.1109/FMEC.2017.7946405 – ident: e_1_2_12_27_1 doi: 10.1145/3485510 – ident: e_1_2_12_42_1 doi: 10.1145/3510415 – ident: e_1_2_12_61_1 – ident: e_1_2_12_7_1 doi: 10.1109/ICCCN52240.2021.9522318 – ident: e_1_2_12_82_1 doi: 10.1109/CLOUD53861.2021.00030 – ident: e_1_2_12_17_1 doi: 10.1109/UCC56403.2022.00023 – ident: e_1_2_12_67_1 – ident: e_1_2_12_72_1 – ident: e_1_2_12_77_1 doi: 10.1016/j.simpat.2018.01.004 – ident: e_1_2_12_76_1 doi: 10.1016/j.simpat.2019.101966 – ident: e_1_2_12_83_1 – ident: e_1_2_12_80_1 doi: 10.1109/ISPDC.2017.25 – ident: e_1_2_12_43_1 doi: 10.1145/3510412 – ident: e_1_2_12_49_1 doi: 10.1109/SEC.2018.00026 – ident: e_1_2_12_69_1 – ident: e_1_2_12_5_1 doi: 10.1109/MWC.001.2000466 – ident: e_1_2_12_2_1 – ident: e_1_2_12_59_1 doi: 10.1145/3063386.3063771 – ident: e_1_2_12_8_1 doi: 10.1016/j.jpdc.2021.03.007 – ident: e_1_2_12_21_1 doi: 10.5220/0010376500230033 – ident: e_1_2_12_44_1 doi: 10.1109/TPDS.2021.3087349 – ident: e_1_2_12_47_1 doi: 10.1002/spe.995 – ident: e_1_2_12_6_1 doi: 10.1109/ICFC49376.2020.00011 – ident: e_1_2_12_53_1 doi: 10.1145/324138.324232 – ident: e_1_2_12_46_1 – ident: e_1_2_12_15_1 doi: 10.1109/IC2E55432.2022.00010 – ident: e_1_2_12_68_1 – ident: e_1_2_12_31_1 doi: 10.1109/JIOT.2020.2984887 – ident: e_1_2_12_62_1 – ident: e_1_2_12_10_1 doi: 10.1016/j.future.2020.07.017 – ident: e_1_2_12_78_1 doi: 10.1016/j.sysarc.2021.102016 – ident: e_1_2_12_37_1 doi: 10.1145/3524844.3528051 – ident: e_1_2_12_84_1 doi: 10.1007/978-3-031-06156-1_34 – ident: e_1_2_12_73_1 doi: 10.1109/TSP49548.2020.9163456 – ident: e_1_2_12_11_1 doi: 10.1145/1807128.1807152 – volume-title: Data Networks year: 1996 ident: e_1_2_12_54_1 – ident: e_1_2_12_56_1 doi: 10.1002/ett.4460080106 – ident: e_1_2_12_57_1 doi: 10.1016/0169‐7552(89)90019‐6 – start-page: 1 volume-title: Introduction to Discrete‐Event Simulation and the Simpy Language year: 2009 ident: e_1_2_12_25_1 – ident: e_1_2_12_36_1 – ident: e_1_2_12_22_1 doi: 10.1145/3542929.3563478 – ident: e_1_2_12_75_1 doi: 10.1145/3464298.3493398 – ident: e_1_2_12_71_1 – ident: e_1_2_12_9_1 doi: 10.1145/3318216.3363314 – ident: e_1_2_12_79_1 doi: 10.1016/j.jpdc.2020.04.006 – ident: e_1_2_12_74_1 doi: 10.1109/TPDS.2022.3214783 – ident: e_1_2_12_14_1 – ident: e_1_2_12_64_1 doi: 10.1145/2908812.2908918 – ident: e_1_2_12_60_1 – ident: e_1_2_12_3_1 – ident: e_1_2_12_33_1 – ident: e_1_2_12_24_1 doi: 10.1002/spe.2509 – ident: e_1_2_12_40_1 doi: 10.1109/CLOUD.2019.00061 |
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faas‐sim
, a simulation framework tailored to serverless edge computing platforms. In serverless computing, platform operators are tasked... This paper presents faas‐sim, a simulation framework tailored to serverless edge computing platforms. In serverless computing, platform operators are tasked... |
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| Title | faas‐sim : A trace‐driven simulation framework for serverless edge computing platforms |
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