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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Vydáno v:Software, practice & experience Ročník 53; číslo 12; s. 2327 - 2361
Hlavní autoři: Raith, Philipp, Rausch, Thomas, Furutanpey, Alireza, Dustdar, Schahram
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bognor Regis Wiley Subscription Services, Inc 01.12.2023
Témata:
Cloud computing
Computer networks
Data processing
Design analysis
Design optimization
Design standards
Distributed processing
Edge computing
Infrastructure
Network topologies
Operators
Resource management
Simulation
Test stands
Workload
Workloads
ISSN:0038-0644, 1097-024X
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Shrnutí: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.
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ISSN:0038-0644
1097-024X
DOI:10.1002/spe.3277