socialccnsim | Social CCN Sim is a CCN simulator

by mesarpe Python Version: Current License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | socialccnsim Summary

socialccnsim is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. socialccnsim has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However socialccnsim build file is not available. You can download it from GitHub.

SocialCCNSim is a discrete-event trace executor of a CCN network.

Support

Quality

Security

License

Reuse

Support

socialccnsim has a low active ecosystem.

It has 7 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 81 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of socialccnsim is current.

Quality

socialccnsim has no bugs reported.

Security

socialccnsim has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

socialccnsim is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

socialccnsim releases are not available. You will need to build from source code and install.

socialccnsim has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed socialccnsim and discovered the below as its top functions. This is intended to give you an instant insight into socialccnsim implemented functionality, and help decide if they suit your requirements.

Retrieve a set of values from the cache
Increment the number of hits
Marks the number of items in the cache
Lookup cache for a given node
Retrieves a node from the cache
Get the next node in the given path
Store content in the cache
Append an item to the cache
Retrieve interest from cache
Calculate the hash of a message
Retrieve the given interest from the cache
Calculates the hash of a message
Run post production
Post production
Return an iterator over the keys in the cache
Return an iterator over the items in the cache
Returns the values in the cache
Lookup a key in the cache
Retrieve a file from the cache
Return the size of the tree
Resolve from cache
Retrieves a file from the cache
Returns the ratio of expired elements
Checks the cache for a given path
Retrieve the index from the cache
Retrieves a cached capability from the cache
Retrieve a specific resource from the cache

Get all kandi verified functions for this library.

socialccnsim Key Features

No Key Features are available at this moment for socialccnsim.

socialccnsim Examples and Code Snippets

No Code Snippets are available at this moment for socialccnsim.

Community Discussions

No Community Discussions are available at this moment for socialccnsim.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install socialccnsim

You can download it from GitHub.
You can use socialccnsim 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

How do I change the cache size per node?. Set the first parameter (i.e. 2 in the example) to the desired cache size per node. How do I change the popularity properties of the trace?. Socialccnsim executes synthetic traces. If you want to create traces with special properties (special parameters), you are encouraged to give it a visit to SONETOR [https://github.com/mesarpe/sonetor]. SONETOR is a synthetic traces generator. With SONETOR, traces can be generated and then executed into Socialccnsim.

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