On the Containerization and Orchestration of RISC-V architectures for Edge-Cloud computing

被引:2
|
作者
Lumpp, Francesco [1 ]
Barchi, Francesco [2 ]
Acquaviva, Andrea [2 ]
Bombieri, Nicola [1 ]
机构
[1] Univ Verona, Dept Innovat Med, Verona, Italy
[2] Univ Bologna, Dept Elect Elect & Informat Engn, Bologna, Italy
关键词
D O I
10.1145/3624486.3624490
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Containerization technologies, orchestration systems and open hardware architectures, such as RISC-V, are crucial as the foundation of open digital infrastructures for the computing continuum - the seamless distribution of data and computation across platforms with heterogeneous capabilities. However, it is unknown how containerization technologies and orchestration systems, such as Kubernetes, would impact performance in new architectures based on RISC-V. This work aims to address this question and introduces KubeEdge-V, an orchestration platform for RISC-V systems. We define the minimum components required to support the basic features of the containerization and orchestration platforms: network plug-ins, container runtimes and computational/networking requirements, and we evaluated KubeEdge-V performance on a prototype of a distributed computing system based on SiFive processors called Monte Cimone. Finally, the paper compares the performance of KubeEdge-V on SiFive processors with an equivalent system based on ARM architecture featuring the same power envelope.
引用
收藏
页码:21 / 28
页数:8
相关论文
共 50 条
  • [1] Al Acceleration with RISC-V for Edge Computing
    Yang, Chia-Hsiang
    [J]. 2020 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT), 2020,
  • [2] The Rise of RISC-V from Edge to Cloud
    Su, Charlie Hong-Men
    [J]. 2020 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT), 2020,
  • [3] Towards dependable RISC-V cores for edge computing devices
    Nikiema, Pegdwende Romaric
    Palumbo, Alessandro
    Aasma, Allan
    Cassano, Luca
    Kritikakou, Angeliki
    Kulmala, Ari
    Lukkarila, Jari
    Ottavi, Marco
    Psiakis, Rafail
    Traiola, Marcello
    [J]. 2023 IEEE 29TH INTERNATIONAL SYMPOSIUM ON ON-LINE TESTING AND ROBUST SYSTEM DESIGN, IOLTS, 2023,
  • [4] Will RISC-V Revolutionize Computing?
    Greengard, Samuel
    [J]. COMMUNICATIONS OF THE ACM, 2020, 63 (05) : 30 - 32
  • [5] Containerization and Orchestration of Software for Autonomous Mobile Robots: a Case Study of Mixed-Criticality Tasks across Edge-Cloud Computing Platforms
    Lumpp, Francesco
    Fummi, Franco
    Patel, Hiren D.
    Bombieri, Nicola
    [J]. 2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, : 9708 - 9713
  • [6] Performance Evaluation of Containerization in Edge-Cloud Computing Stacks for Industrial Applications: A Client Perspective
    Liu, Yu
    Lan, Dapeng
    Pang, Zhibo
    Karlsson, Magnus
    Gong, Shaofang
    [J]. IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY, 2021, 2 : 153 - 168
  • [7] Virtualization, Containerization, Composition, and Orchestration of Cloud Computing Services
    Odun-Ayo, Isaac
    Geteloma, Victor
    Eweoya, Ibukun
    Ahuja, Ravin
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2019, PT IV, 2019, 11622 : 403 - 417
  • [8] Secure Services for Standard RISC-V Architectures
    Bove, Davide
    [J]. PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY AND SECURITY, ARES 2022, 2022,
  • [9] Towards Edge-Cloud Computing
    Tianfield, Huaglory
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 4883 - 4885
  • [10] Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes
    Dakic, Vedran
    Mrsic, Leo
    Kunic, Zdravko
    Dambic, Goran
    [J]. ELECTRONICS, 2024, 13 (17)