FogComputing | fog computing framework consisting of fog node application

 by   Dongfeng-He Python Version: Current License: No License

kandi X-RAY | FogComputing Summary

kandi X-RAY | FogComputing Summary

FogComputing is a Python library typically used in Edge Computing applications. FogComputing has no bugs, it has no vulnerabilities and it has low support. However FogComputing build file is not available. You can download it from GitHub.

This is a fog computing application developed in Python using Twisted networking framework and Celery task queue. As the Internet of Things technology develops, more and more smart devices are connected to the core network, generating a large amount of data every day. Using cloud computing to deal with this kind of data has led to two major issues: network congestion and high latency. In order to solve this problem, a new computing model was proposed, that is, fog computing. The main idea of fog computing is to deploy some servers near the users to provide service with low latency. These servers are also called fog nodes. When a fog node receives a lightweight task, it can process the task locally. When a fog node receives a middleweight task, it can collaborate with neighbour fog nodes to process the task. When a fog node receives a heavyweight task, it can upload the task to the cloud.
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            kandi-support Support

              FogComputing has a low active ecosystem.
              It has 4 star(s) with 3 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              FogComputing has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of FogComputing is current.

            kandi-Quality Quality

              FogComputing has 0 bugs and 0 code smells.

            kandi-Security Security

              FogComputing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              FogComputing code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              FogComputing does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              FogComputing releases are not available. You will need to build from source code and install.
              FogComputing has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 97908 lines of code, 9174 functions and 537 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed FogComputing and discovered the below as its top functions. This is intended to give you an instant insight into FogComputing implemented functionality, and help decide if they suit your requirements.
            • Decorator to log the phase of each token .
            • Copy all files from the wheel to the destination .
            • Create write handlers .
            • Wrapper for urlopen .
            • Prepare a file to install .
            • Build a tracer .
            • Install the distribution .
            • Returns a DOM builder .
            • Uninstall this requirement .
            • Return the platform .
            Get all kandi verified functions for this library.

            FogComputing Key Features

            No Key Features are available at this moment for FogComputing.

            FogComputing Examples and Code Snippets

            No Code Snippets are available at this moment for FogComputing.

            Community Discussions

            QUESTION

            Skooma input validator
            Asked 2022-Feb-03 at 15:35

            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:

            my schema:

            ...

            ANSWER

            Answered 2022-Jan-31 at 00:05

            You need a custom validator function, here's an example:

            Source https://stackoverflow.com/questions/70913797

            QUESTION

            How do I create a Near Edge computing system? (Send sensor data with Raspberry Pi/DHT11 sensor)
            Asked 2021-Jan-22 at 10:01

            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.

            ...

            ANSWER

            Answered 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.

            Source https://stackoverflow.com/questions/65835920

            QUESTION

            What is the time complexity of this peudo code?
            Asked 2020-Jun-21 at 12:16

            I don't have a lot of knowledge computing the complexity. Can you help estimate the complexity of the following pseudo-codes?

            Algorithm 1:

            ...

            ANSWER

            Answered 2020-Jun-21 at 11:50
            Algorithm1
            1. 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*N which would be considered O(N)

            Source https://stackoverflow.com/questions/62497868

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install FogComputing

            You can download it from GitHub.
            You can use FogComputing like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/Dongfeng-He/FogComputing.git

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            gh repo clone Dongfeng-He/FogComputing

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            git@github.com:Dongfeng-He/FogComputing.git

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