ComBench | repository hosts our IoT communication benchmarking
kandi X-RAY | ComBench Summary
kandi X-RAY | ComBench Summary
ComBench is a Python library. ComBench has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ComBench build file is not available. You can download it from GitHub.
The repository hosts our IoT communication benchmarking framework ComBench for publish/subscribe protocols in the IoT context focusing on constrained networks. With this benchmarking framework, communication scenarios with different publish/subscribe network protocols can be tested. The application layer protocol to be used can be selected from MQTT, AMQP, and CoAP at the beginning of a measurement. The workload can be flexibly defined by a simple configuration. The framework provides a controller for central control and evaluation of the measurement results. The provided multi-protocol client can be easily instantiated on multiple nodes, allowing the number of clients to be scaled up. During the measurement, latency, message throughput, and resource consumption are captured. When designing the benchmarking framework, one focus was on easy deployment and intuitive operation. Both benchmark controller and clients can, therefore, be started as docker containers.
The repository hosts our IoT communication benchmarking framework ComBench for publish/subscribe protocols in the IoT context focusing on constrained networks. With this benchmarking framework, communication scenarios with different publish/subscribe network protocols can be tested. The application layer protocol to be used can be selected from MQTT, AMQP, and CoAP at the beginning of a measurement. The workload can be flexibly defined by a simple configuration. The framework provides a controller for central control and evaluation of the measurement results. The provided multi-protocol client can be easily instantiated on multiple nodes, allowing the number of clients to be scaled up. During the measurement, latency, message throughput, and resource consumption are captured. When designing the benchmarking framework, one focus was on easy deployment and intuitive operation. Both benchmark controller and clients can, therefore, be started as docker containers.
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Quality
Security
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Support
ComBench has a low active ecosystem.
It has 1 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
ComBench has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of ComBench is current.
Quality
ComBench has no bugs reported.
Security
ComBench has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ComBench is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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ComBench releases are not available. You will need to build from source code and install.
ComBench 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
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ComBench
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ComBench
ComBench Key Features
No Key Features are available at this moment for ComBench.
ComBench Examples and Code Snippets
No Code Snippets are available at this moment for ComBench.
Community Discussions
No Community Discussions are available at this moment for ComBench.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ComBench
The benchmark can be set up in three different ways. The first way is to start the Python applications manually, the second way is via Docker-Compose and the third way is to start the Docker containers individually. Start one benchmark controller on localhost address on port 5000 via. To start the controller listening to a specific address and port use. Start multiple clients via. Note: You have to select different ports if multiple clients are instantiated on the same host. To set up one controller use. To set up the clients use. Note: You have to select different ports if multiple clients are instantiated on the same host. To start the controller and client services run.
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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