ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.06478
  4. Cited By
Divide and Save: Splitting Workload Among Containers in an Edge Device
  to Save Energy and Time

Divide and Save: Splitting Workload Among Containers in an Edge Device to Save Energy and Time

13 February 2023
A. Khoshsirat
Giovanni Perin
M. Rossi
ArXivPDFHTML

Papers citing "Divide and Save: Splitting Workload Among Containers in an Edge Device to Save Energy and Time"

2 / 2 papers shown
Title
Performance Characterization of Containerized DNN Training and Inference
  on Edge Accelerators
Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators
Prashanthi S.K.
Vinayaka Hegde
Keerthana Patchava
Ankita Das
Yogesh L. Simmhan
19
1
0
12 Dec 2023
Autonomous Choreography of WebAssembly Workloads in the Federated
  Cloud-Edge-IoT Continuum
Autonomous Choreography of WebAssembly Workloads in the Federated Cloud-Edge-IoT Continuum
Piotr Sowiński
Ignacio Lacalle
Rafael Vaño
C. Palau
29
2
0
06 Aug 2023
1