kandi X-RAY | Libdroid Summary
kandi X-RAY | Libdroid Summary
Advancing on our previous work (contianer-based server runtime Rattrap), we implement an unikernel-based runtime for mobile computation offloading under Mobile Fog Computing or Mobile Edge Computing scenarios, Introducing much less boot-up delay, memory footprint, disk usage and energy consumption at IoT Edge. We firstly put forward the concept of Rich-Unikernel which aims to support various applications in one unikernel while avoiding their time-consuming recompilation. Following the design of Rich-Unikernel, we implement a not only lightweight but also flexible runtime for offloaded codes, called Android Unikernel, by integrating basic Android system libraries into OSv unikernel.
Top functions reviewed by kandi - BETA
- Called when an options item is selected
- Delete all files and directories
- Scan for a file
- Open database
- Handle click
- Create a zip file
- Write a zip file
- Unrar a source file
- Click a photo
- Taint a bitmap
- Handle touch event
- Method to create dialog
- Initializes this instance
- Initialize the activity
- Main entry point
- Handle a touch event
- Resume the video
- Method used to handle auto detection
- Create alert dialog
- Find branch targets
- Creates a bitmap from the given bitmap
- Region OnClicks
- Initializes the activity
- Method used to perform the auto detection
- Interprets the state machine
- Runs the commands from the phone
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Trending Discussions on Edge Computing
I was given a task to implement an input validator with the Skooma library https://github.com/bobfp/skooma#validators
The general concept is pretty clear, but for some inputs I have a list of "legal" words, and I have zero clue on how to implement the validation for this case. Hence why I came here, I wanted to ask if you know any examples / projects that used this library? I googled but didn't find anything. Of if you have any other tipps just let me know! 🙂 This is the example:
ANSWERAnswered 2022-Jan-31 at 00:05
You need a custom validator function, here's an example:
I am working on edge computing for IoT applications and expected to create a system that acts as a near edge computer with the use of a raspberry pi hooked up to a dht11 sensor. How do I send this data over to a computer that is at the edge? Ideally I want to use my PC as this device but I have no clue how to send this data over in real time.
So far I have created the circuit and can view the temperature and humidity readings on the raspberry pi in python. Unsure of what the next steps are - I don't want to send this data over to the cloud just yet.
Side note: I believe i may be missing knowledge regarding this but is the raspberry pi an edge device because it is hooked up to the sensor directly?
Any help is greatly appreciated....
ANSWERAnswered 2021-Jan-22 at 10:01
You need to think this through a bit more. What will you do with the temperature and humidity data that you receive?
For example, if you're just experimenting and want to just see the readings in a console on your PC, you can use netcat to send the console output of your Python program from the RPi to PC. No SW development needed, they just have to be in the same network. Not particularly useful for anything else, either.
Otherwise you need to set up some client-server solution between the RPi and your PC. There's a ton of possible solutions, all depending on what you plan to do with the data. You can use MQTT, HTTP, a straight database connection (MySQL, PostgreSQL), etc. You have to supply both sides of the connection. The Python code on client side which connects and sends data; and the server side thing that accepts the samples and stores them somewhere. Plus all the networking, authentication etc.
Or you can just download the Python client libraries for your favourite cloud solution and set that up according to a tutorial. TBH, this sounds a lot less work to me.
I don't have a lot of knowledge computing the complexity. Can you help estimate the complexity of the following pseudo-codes?
ANSWERAnswered 2020-Jun-21 at 11:50
The algorithm1 will first perform simple multiplication and addition on vectors. Assuming that it loops from start to end on each vector and performs some calculations, the number of iterations made would be
3*Nwhich would be considered
No vulnerabilities reported
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