This is the code used for the following publication: Md W. Al Azad and S. Mastorakis, “Reservoir: Named Data for Pervasive Computation Reuse at the Network Edge,” IEEE International Conference on Pervasive Computing and Communications (PerCom), 2022.

Reservoir

Requirements:

1. Ubuntu 18.04 or above.
2. The CN(s) should have at least 16GB memory.
3. Skimage(version 0.16.2)

To run the prototype:

Step 1: install ndn-cxx(0.7.0-8-gce9c1952) and NFD(0.7.0-7-g51cf75c8) on the routers and the CNs.

Step 2: Set the routing strategy to "/localhost/nfd/strategy/reservoir-strategy/%FD%05" for "/service" and "/cn".

Step 3: Download the demo model from here and put it in the "/Reservoir/Prototype/ProducerApp". Then run the "ProducerApp/reuseProducer.py" on the CN(s).

Step 4: Run the "UserApp/userApp.py" on the user device(s). You may need to compile the "HyperplaneHash.so" to run the "userApp.py".

Note: to run the prototype with other datasets, first split the dataset using "split_dataset/split_dataset.py" and then put the smaller datasets to each user app directory.

Simulation:

Run the "ndnSIM/reuse.cpp". To simplify the simulation, we used pre-processed data. All the pre-processed data is in the "ndnSIM/apps/simulation_data_preprocessed" directory. To select any specific dataset with a specific similarity threshold, change the "dataFilePath" variable in the "reuseConsumer.cpp".