WebAssembly as a Common Layer for the Cloud-edge Continuum

被引:13
|
作者
Menetrey, James [1 ]
Pasin, Marcelo [2 ]
Felber, Pascal [1 ]
Schiavoni, Valerio [1 ]
机构
[1] Univ Neuchatel, Neuchatel, Switzerland
[2] HES SO Univ Appl Sci, Delemont, Switzerland
关键词
WebAssembly; WASI; Trusted Execution Environments; Intel SGX; Arm TrustZone; Cloud-edge Continuum; INTEGRATION;
D O I
10.1145/3526059.3533618
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Over the last decade, the cloud computing landscape has transformed from centralised architecture made of large data centres to a distributed and heterogeneous architecture embracing edge and IoT processing units. This shift has created the so-called cloud-edge continuum, which closes the gap between the large datacentres and the end-user devices. Existing solutions are, however, dominated by proprietary silos and incompatible technologies, built around dedicated devices and run-time stacks. In this position paper, we motivate the need for interoperable solutions that would run seamlessly across hardware devices and software environments, while achieving good performance and a high level of security-a critical requirement for code and data processed off-premises. We argue that the technology provided by WebAssembly running on modern virtual machines and shielded within trusted execution environments, combined with a core set of services and support libraries, allows us to meet both goals. We also present preliminary results from a prototype built with these technologies and deployed on the cloud-edge continuum.
引用
收藏
页码:3 / 8
页数:6
相关论文
共 50 条
  • [31] Resource Recommender for Cloud-Edge Engineering
    Pasdar, Amirmohammad
    Lee, Young Choon
    Hassanzadeh, Tahereh
    Almi'ani, Khaled
    [J]. INFORMATION, 2021, 12 (06)
  • [32] From cloud manufacturing to cloud-edge collaborative manufacturing
    Guo, Liang
    He, Yunlong
    Wan, Changcheng
    Li, Yuantong
    Luo, Longkun
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2024, 90
  • [33] Balancing local vs. remote state allocation for micro-services in the cloud-edge continuum
    Puliafito, Carlo
    Cicconetti, Claudio
    Conti, Marco
    Mingozzi, Enzo
    Passarella, Andrea
    [J]. PERVASIVE AND MOBILE COMPUTING, 2023, 93
  • [34] Toward the mitigation of spurious cloud-edge supersaturation in cloud models
    Grabowski, Wojciech W.
    Morrison, Hugh
    [J]. MONTHLY WEATHER REVIEW, 2008, 136 (03) : 1224 - 1234
  • [35] An Efficient IIoT Gateway for Cloud-Edge Collaboration in Cloud Manufacturing
    Zhang, Yi
    Tang, Dunbing
    Zhu, Haihua
    Zhou, Shihui
    Zhao, Zhen
    [J]. MACHINES, 2022, 10 (10)
  • [36] Supporting the Natural Disaster Management Distributing Federated Intelligence over the Cloud-Edge Continuum: the TEMA Architecture
    Carnevale, Lorenzo
    Filograna, Antonio
    Arigliano, Francesco
    Marino, Roberto
    Ruggeri, Armando
    Fazio, Maria
    [J]. PROCEEDINGS OF THE IEEE/ACM 10TH INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING, APPLICATIONS AND TECHNOLOGIES, BDCAT 2023, 2023,
  • [37] TF2AIF: Facilitating development and deployment of accelerated AI models on the cloud-edge continuum
    Leftheriotis, Aimilios
    Tzenetopoulos, Achilleas
    Lentaris, George
    Soudris, Dimitrios
    Theodoridis, Georgios
    [J]. 2024 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT 2024, 2024, : 931 - 936
  • [38] A deep reinforcement learning approach towards distributed Function as a Service (FaaS) based edge application orchestration in cloud-edge continuum
    Emami Khansari, Mina
    Sharifian, Saeed
    [J]. Journal of Network and Computer Applications, 2025, 233
  • [39] A Cloud-Edge Collaboration Framework for Cognitive Service
    Ding, Chuntao
    Zhou, Ao
    Liu, Yunxin
    Chang, Rong N.
    Hsu, Ching-Hsien
    Wang, Shangguang
    [J]. IEEE TRANSACTIONS ON CLOUD COMPUTING, 2022, 10 (03) : 1489 - 1499
  • [40] Cloud-Edge Collaborative Inference with Network Pruning
    Li, Mingran
    Zhang, Xuejun
    Guo, Jiasheng
    Li, Feng
    [J]. ELECTRONICS, 2023, 12 (17)