biningvv Goto Github PK

acad-homepage.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

arima

ARIMA is a Java open source project dedicated in the study model of ARIMA, AR, MA

arima-and-seasonal-arima

biningvv1.github.io

Personal resume

biningvv2.github.io

blog_demos

CSDN博客专家程序员欣宸的github，这里有六百多篇原创文章的详细分类和汇总，以及对应的源码，内容涉及Java、Docker、Kubernetes、DevOPS等方面

ccn_team_18_project

Bandwidth Prediction for Real-Time Communications Using Heuristic and Reinforcement Learning

cloud-face-recognition

Computer Vision facial recognition system that distributes the computational load between edge and cloud processing nodes to lower the bandwidth requirements and cost for video surveillance systems and deployments.

cloudsimpy

CloudSimPy: Datacenter job scheduling simulation framework

csi4101-software-capstone-design

Network aware load balancing for edge/cloud computing using deep reinforcement learning

deepscaler

dependency-aware-computation-offloading-for-mobile-edge-computing-with-edge-cloud-cooperation

The code for paper titled "Dependency-Aware-Computation-Offloading-for-Mobile-Edge-Computing-with-Edge-Cloud-Cooperation"

e16-4yp-ai-as-a-microservice-for-smart-edge-of-things

An intelligent, autonomous edge application that addresses issues of bandwidth, data privacy and latency in comparison to typical IoT solutions. This includes processing AI on edge devices using real-time services in a distributed manner, as opposed to cloud-based models.

energy-aware-compute-strategy

faas-flow

Function Composition for OpenFaaS

fedagg

[INFOCOM 2024] Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration

fl_particpant_selection_based_fixed_and_dynamic_deadline

These codes are the implementation of our paper entitled "Data-Driven Participant Selection and Bandwidth Allocation for Heterogeneous Federated Edge Learning"

fogserviceplacement-ilpvscn

These are the implementations of two service placement algorithms for fog computing in python 2.7. One is an ILP-based algorithm and the second one is based on the use of complex networks and graph partitions.

liquid

Intelligent Resource Requirement Estimation and Scheduling for Deep Learning Jobs on Distributed GPU Clusters

lnmiit-physics-lab

Responsive academic website for the LNMIIT UG Physics Laboratory

mobaas

Mobility and bandwidth availability prediction as a service

nimo-markdown-cv

Maintain your CV in Markdown :sparkles:

os-cnn

python-graph

Implementation and visualization of different graph algorithms.

resources-allocation-in-the-edge-computing-environment-using-reinforcement-learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

rsdql

The source code and experimental results of RSDQL.

tongjithesis

同济大学硕博士论文LaTeX模板

unfaasener

A lightweight framework that enables serverless users to reduce their bills by harvesting non-serverless compute resources such as their VMs, on-premise servers, or personal computers.

workflow-yaml-template

Rudimentary YAML workflow runner for OpenFaaS