add cortze/py-dht as submodule + add DHT related parameters to the DAS conf/shape

Author: cortze

.gitignore

@@ -5,3 +5,4 @@ myenv*/
 doc/_build
 !results/plots.py
 Frontend/
+.idea

.gitmodules

@@ -0,0 +1,3 @@
+[submodule "py-dht"]
+	path = py-dht
+	url = https://github.com/cortze/py-dht.git

README.md

@@ -26,7 +26,7 @@ cd das-research
 ```
 python3 -m venv myenv
 source myenv/bin/activate
-pip3 install -r DAS/requirements.txt
+bash install_dependencies.sh
 ```
 
 ## Run the simulator

install_dependencies.sh

@@ -0,0 +1,20 @@
+VENV="./myenv"
+
+echo "Installing dependencies for DAS..."
+
+# activate the venv or raise error if error
+source $VENV/bin/activate
+if [ $? -eq 0 ]; then
+  echo "venv successfully sourced"
+else
+  echo "unable to source venv at $VENV , does it exist?"
+  exit 1
+fi
+
+# make sure that the submodule module is correctly downloaded
+git submodule update --init
+
+# install requirements for DAS and py-dht and install the dht module from py-dht
+pip3 install -r DAS/requirements.txt
+pip3 install -r py-dht/requirements.txt
+pip3 install -e py-dht

py-dht

@@ -101,10 +101,26 @@
 # True to save git diff and git commit
 saveGit = False
 
+# --- DHT Parameters ---
+
+# True to simulate the distribution of the BlockSegments over a simulated DHTNetwork
+dhtSimulation = True
+
+# K replication factor, in how many DHT nodes are we going to store the block segments
+# reused as how many DHT nodes will fit into each Kbucket to the routing table
+ks = [20]
+
+# Number of concurrent DHT nodes that will be contacted during a Lookup
+alphas = [1]
+
+# Number of steps without finding any closer DHT nodes to a Hash will the DHT lookup perform before finishing it
+# Not using steps4StopCondition as 7 steps looks too much for the DHT (although it could be changed :))
+nilStepsToStopLookup = 3
+
 def nextShape():
-    for run, fm, fr, class1ratio, chi, vpn1, vpn2, blockSize, nn, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
-        runs, failureModels, failureRates, class1ratios, chis, validatorsPerNode1, validatorsPerNode2, blockSizes, numberNodes, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):
+    for run, fm, fr, class1ratio, chi, vpn1, vpn2, blockSize, nn, netDegree, bwUplinkProd, bwUplink1, bwUplink2, k, alpha in itertools.product(
+        runs, failureModels, failureRates, class1ratios, chis, validatorsPerNode1, validatorsPerNode2, blockSizes, numberNodes, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2, ks, alphas):
         # Network Degree has to be an even number
         if netDegree % 2 == 0:
-            shape = Shape(blockSize, nn, fm, fr, class1ratio, chi, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run)
+            shape = Shape(blockSize, nn, fm, fr, class1ratio, chi, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, k, alpha, run)
             yield shape