Evaluating Webassembly Enabled Serverless Approach for Edge Computing

被引:12
|
作者
Mendki, Pankaj [1 ]
机构
[1] Talent Software India Pvt Ltd, R&D Team, Pune, Maharashtra, India
来源
关键词
Edge computing; Serverless; Webassembly; Performance benchmarks;
D O I
10.1109/IEEECloudSummit48914.2020.00031
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The edge computing ecosystem has been evolving in the last few years. There have been different architectural patterns proposed to implement edge computing solutions. This paper focuses on serverless edge computing architecture and evaluates webassembly based approach for the same. The current state of serverless edge computing is explained followed by providing high level conceptual overview of webassembly. Webassembly performance is evaluated against native and container based applications using the current toolchain supported for ARM architecture. Benchmarking is done for different categories of applications like compute intensive, memory intensive, file I/O intensive and a simple image classification - machine learning application. This paper describes the experimental setup, discusses the performance results and provides the conclusion.
引用
收藏
页码:161 / 166
页数:6
相关论文
共 50 条
  • [1] Pushing Serverless to the Edge with WebAssembly Runtimes
    Gackstatter, Philipp
    Frangoudis, Pantelis A.
    Dustdar, Schahram
    [J]. 2022 22ND IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING (CCGRID 2022), 2022, : 140 - 149
  • [2] WebAssembly Orchestration in the Context of Serverless Computing
    Vojdan Kjorveziroski
    Sonja Filiposka
    [J]. Journal of Network and Systems Management, 2023, 31
  • [3] WebAssembly Orchestration in the Context of Serverless Computing
    Kjorveziroski, Vojdan
    Filiposka, Sonja
    [J]. JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 2023, 31 (03)
  • [4] WebAssembly as an Enabler for Next Generation Serverless Computing
    Vojdan Kjorveziroski
    Sonja Filiposka
    [J]. Journal of Grid Computing, 2023, 21
  • [5] WebAssembly as an Enabler for Next Generation Serverless Computing
    Kjorveziroski, Vojdan
    Filiposka, Sonja
    [J]. JOURNAL OF GRID COMPUTING, 2023, 21 (03)
  • [6] Energy Efficiency in Edge Environments: a Serverless Computing Approach
    Djemame, Karim
    [J]. ECONOMICS OF GRIDS, CLOUDS, SYSTEMS, AND SERVICES, GECON 2021, 2021, 13072 : 181 - 184
  • [7] WebAssembly for Edge Computing: Potential and Challenges
    Hoque, Mohammed Nurul
    Harras, Khaled A.
    [J]. IEEE Communications Standards Magazine, 2022, 6 (04): : 68 - 73
  • [8] Advanced Serverless Edge Computing
    Ticongolo, Inacio Gaspar
    Baresi, Luciano
    Quattrocchi, Giovanni
    [J]. SERVICE-ORIENTED COMPUTING - ICSOC 2023 WORKSHOPS, 2024, 14518 : 285 - 291
  • [9] GPU Enabled Serverless Computing Framework
    Kim, Jaewook
    Jun, Tae Joon
    Kang, Daeyoun
    Kim, Dohyeun
    Kim, Daeyoung
    [J]. 2018 26TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING (PDP 2018), 2018, : 533 - 540
  • [10] Deviceless Edge Computing: Extending Serverless Computing to the Edge of the Network
    Glikson, Alex
    Nastic, Stefan
    Dustdar, Schahram
    [J]. SYSTOR'17: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL SYSTEMS AND STORAGE CONFERENCE, 2017,