AggyP's starred repositories
Smart-Water-Tank
This is an Internet of Things project created using Raspberry Pi to monitor the water level in a water tank and update a Web GUI or dashboard which can be monitored online
js-calendar
Calendar UI Design with Dark Mode and Animation Using HTML CSS JavaScript
project-management-dashboard
A reusable and customisable dashboard with HTML, CSS, JavaScript, and ChartJs.
BuildersOnline-IntroductionToServerless
This repo contains all the demos covered in the session "Introduction to Serverless on AWS"
iFogSimTutorials
A tutorial on iFogSim. It contains simulation source codes of the example scenarios and placement policies discussed in "Modelling and Simulation of Fog and Edge Computing Environments using iFogSim Toolkit"
FogPlan-simulator
Simulator Software for FogPlan: A Lightweight QoS-aware Dynamic Fog Service Provisioning Framework
eua-dataset
Edge server, user dataset for Edge Computing research
EdgeFogSimulator
Edge-Fog cloud simulator and LPCF task assignment calculator
VirtFogSim
VirtFogSim is a MATLAB-supported software toolbox that allows the dynamic joint optimization and tracking of the energy and delay performance of Mobile-Fog-Cloud systems for the execution of applications described by general Directed Application Graphs (DAGs)
awesome-edge-computing
A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
clusterdata
cluster data collected from production clusters in Alibaba for cluster management research
riot-bench
Real-time IoT Benchmark Suite
IoT-Compute-Dataset
This Dataset consists of heterogeneous IoT jobs/tuples containing the information - TupleName, TupleId, Size of the Tuple (Size of a job), MIPS (Million Instruction per Second), Total processors, RAM size, Bandwidth, Geo-location (Coordinates), DataType (contains Abrupt, smalltextual, medical and sensors etc), Data Percentage, IsReversed (not served by /EdgeFog or Cloud), IsServerd (boolean, It is served or not), and IsserverbyCloud, DeviceType (Sensors, Dumobjects, Mobiles, Acuator and LocationBased, etc), QueueDelay (how much time it will stay in queue), InternalProcessingTime, QueueWait, Temperature etc. This Dataset is designed to be utilized in all sorts of computing environments ranging from Volunteer/Edge/Fog to Cloud/Grid environments.
cluster-data
Borg cluster traces from Google
youtube-8m
Starter code for working with the YouTube-8M dataset.