Cross-edge-Computation-Offloading | python package of Cross-edge Computation

 by   vanloswang Python Version: Current License: MIT

kandi X-RAY | Cross-edge-Computation-Offloading Summary

kandi X-RAY | Cross-edge-Computation-Offloading Summary

Cross-edge-Computation-Offloading is a Python library typically used in Edge Computing, Tensorflow applications. Cross-edge-Computation-Offloading has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Cross-edge-Computation-Offloading build file is not available. You can download it from GitHub.

A python package of Cross-edge Computation Offloading (CCO) algorithm and its distributed version, Decor for Mobile Edge Computing (MEC).
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            kandi-support Support

              Cross-edge-Computation-Offloading has a low active ecosystem.
              It has 27 star(s) with 11 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Cross-edge-Computation-Offloading has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Cross-edge-Computation-Offloading is current.

            kandi-Quality Quality

              Cross-edge-Computation-Offloading has 0 bugs and 0 code smells.

            kandi-Security Security

              Cross-edge-Computation-Offloading has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Cross-edge-Computation-Offloading code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Cross-edge-Computation-Offloading is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Cross-edge-Computation-Offloading releases are not available. You will need to build from source code and install.
              Cross-edge-Computation-Offloading has no build file. You will be need to create the build yourself to build the component from source.
              Cross-edge-Computation-Offloading saves you 494 person hours of effort in developing the same functionality from scratch.
              It has 1163 lines of code, 183 functions and 19 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Cross-edge-Computation-Offloading and discovered the below as its top functions. This is intended to give you an instant insight into Cross-edge-Computation-Offloading implemented functionality, and help decide if they suit your requirements.
            • Generates features for a given position
            • Randomly select a random number of edge sites
            • Return a numpy array of edge selectors
            • Creates a deep copy of the Instance
            • Generate Cco algorithm
            • Returns the number of harvestable energy
            • Calculates the total cost for each edge
            • Calculates the battery energy levels
            • Obtain the transmit energy for a given edge
            • Calculate the transmit time of a given parameter
            • Calculate the objective function for the given solution
            • Returns the solution of the subproblem
            • Generate random ins
            • Check if the population is illegal
            • Obtain the execution time for the given edge sites
            • Generate a set of edge selections
            Get all kandi verified functions for this library.

            Cross-edge-Computation-Offloading Key Features

            No Key Features are available at this moment for Cross-edge-Computation-Offloading.

            Cross-edge-Computation-Offloading Examples and Code Snippets

            No Code Snippets are available at this moment for Cross-edge-Computation-Offloading.

            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 Cross-edge-Computation-Offloading

            You can download it from GitHub.
            You can use Cross-edge-Computation-Offloading 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

            https://github.com/vanloswang/Cross-edge-Computation-Offloading.git

          • CLI

            gh repo clone vanloswang/Cross-edge-Computation-Offloading

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            git@github.com:vanloswang/Cross-edge-Computation-Offloading.git

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