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Cloudlets are discoverable, generic, stateless servers located in single-hop proximity of mobile devices, that can operate in disconnected mode and are virtual-machine (VM) based to promote flexibility, mobility, scalability, and elasticity. In our implementation of cloudlets, applications are statically partitioned into a very thin client that runs on the mobile device and a computation-intensive Server that runs inside a Service VM. Read more about cloudlets at http://sei.cmu.edu/mobilecomputing/research/tactical-cloudlets/.
KD-Cloudlet comprises a total of 7 GitHub projects:
- pycloud (Cloudlet Server)
- cloudlet-client (Cloudlet Client)
- client-lib-android (Library for Cloudlet-Ready Apps)
- client-lib (Java REST Client Library)
- android-logger (SLF4J Logger for Android)
- speech-server (Test server: Speech Recognition Server based on Sphinx)
- speech-android (Test client: Speech Recognition Client)
speech-android is a speech recognition client (cloudlet-ready Android app) for KD-Cloudlet:
- Loads a audio file from the file system using a file browsing activity
- Locates a cloudlet that has a speech recognition server (Service VM)
- Sends the audio file to the speech recognition server for translation into text
- Receives and displays the response text
Details on how to create cloudlet-ready apps are available at client-lib-android. The Service ID that this apps looks for is edu.cmu.sei.ams.speech_rec_service. This needs to be configured as part of the Service metadata when creating a Service on a cloudlet.