prior:
-
dds:
Benchmarking videos used in dds. https://github.com/KuntaiDu/dds.
- paper:Server-Driven Video Streaming for Deep Learning Inference
- author:Kuntai Du
- source:sigcomm,2020
-
awstream:
https://github.com/awstream/awstream
- paper:AWStream: Adaptive Wide-Area Streaming Analytics
- author:Ben Zhang
- source:sigcomm,2018
-
noscope:
D. Kang, J. Emmons, F. Abuzaid, P. Bailis, and M. Zaharia. NoScope project website.
https://github.com/stanford-futuredata/noscope.
(videoedge说比它好)
-
paper:NoScope: Optimizing Neural Network Queries
over Video at Scale
- author:Daniel Kang
- source:vldb,2017
unknown:
- Github repo. https://github.com/jinhuang01/CLIO.
-
paper:CLIO: Enabling automatic compilation of deep learning
pipelines across IoT and Cloud
- source:mobicom 2020
-
https://github.com/hszhao/ICNet
(my paper location:desktop/wwj/paper/13…)
- paper:Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics
- author:Yiding Wang
pass:
The MIRIS source code is available at https://github.com/favyen/miris
存好的视频,偏数据库
Caesar’s demo code is available at https://github.com/USC-NSL/Caesar
偏上层
Source code and experimental data for Reducto are
available at https://github.com/reducto-sigcomm-2020/reducto.
readme太少
https://github.com/xumengwei/DeepCache
tecent ncnn,readme 太少
no help now:
仿真器:
Other attempts aimed at
modeling wireless links within the Mininet environment use
the emulation features of ns-3 for WiFi [5]
and the Lena module
of ns-3 for the cellular network (OpenNet[6]
). While OpenNet
is similar to openLEON, it is not an end-to-end emulator and
does not model the data center. An emulator for LTE using
LENA is available [15].
[5]Available at: https://github.com/mininet/mininet/wiki/Link-modeling-using-ns-3
[6]Available at: https://github.com/dlinknctu/OpenNet
DroneNet-Sim: A Learning-based Trace Simulation Framework for Control Networking in Drone Video Analytics
for Control Networking in Drone Video Analytics(无人机)
C. Qu and A. Esquivel. 2020. DroneNetsim. https://github.com/CaesarQu/DroneCOCoNet-Sim.
osdi
Elastic Ephemeral Storage for Serverless Analytics
Pocket: https://github.com/stanford-mast/pocket, 2018.