Add artifacts

.gitignore

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+*.png

README.md

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 # io_uring performance analysis
+
+This repository contains experiment scripts and artifacts for my MSc thesis on the performance of `io_uring`. The results of this work are described on https://brynjar.io/msc-thesis.
+
+## fio liburing engine
+
+Run the following commands to compile fio with the liburing engine
+
+    git clone [email protected]:axboe/fio.git
+    git checkout 06812a4f
+    git apply this/fio/liburing.patch
+    make
+    ./fio ...
+
+## RocksDB liburing backend
+
+Run the following commands to compile RocksDB with the liburing backend
+
+    git clone [email protected]:facebook/rocksdb.git
+    git checkout 9d64ca55
+    cp this/rocksdb/ plugin/liburing/
+    DEBUG_LEVEL=0 ROCKSDB_PLUGINS="liburing" make -j48 db_bench
+    ./db_bench ...

experiments/exp_01_coop_2023-12-03/README.md

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+# Experiment 5 (2023-12-03)
+
+Single core experiment.
+
+## Results
+
+<p>
+    <img src="result_iops.png" alt="drawing" width="45%"/>
+    <img src="result_cs.png" alt="drawing" width="45%"/>
+</p>
+<p>
+    <img src="result_clat_avg.png" alt="drawing" width="45%"/>
+    <img src="result_clat_p99.png" alt="drawing" width="45%"/>
+</p>

experiments/exp_01_coop_2023-12-03/plot.py

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+import matplotlib.pyplot as plt 
+import csv 
+
+import matplotlib as mpl
+mpl.rcParams["font.size"] = 16
+
+x = [] 
+y1 = [] 
+y2 = [] 
+
+a = 1
+b = 6
+
+x_label = 'Queue Depth'
+y_label = 'IOPS (x 1000)'
+
+with open('results.csv','r') as csvfile: 
+    lines = csv.reader(csvfile, delimiter=',') 
+    for idx, row in enumerate(lines): 
+        print(idx, row)
+        #if idx == 1:
+            #x_label = row[0]
+            #y_label = row[a]
+        if idx > 1:
+            x.append(row[0]) 
+            y1.append(float(row[a]) / 1000) 
+            y2.append(float(row[b]) / 1000) 
+
+plt.plot(x, y1, marker = 'o',label = "Default") 
+plt.plot(x, y2, marker = 'o',label = "COOP_TASKRUN") 
+
+plt.xticks(rotation = 25) 
+plt.xlabel(x_label) 
+plt.ylabel(y_label) 
+
+#plt.yscale("log")   
+
+plt.ylim(ymin=0)
+plt.subplots_adjust(left=0.15, right=0.95, bottom=0.15, top=0.95)
+
+plt.grid() 
+plt.legend() 
+plt.savefig('result_iops.svg')

experiments/exp_01_coop_2023-12-03/plot_cs.py

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+import matplotlib.pyplot as plt 
+import csv 
+
+import matplotlib as mpl
+mpl.rcParams["font.size"] = 16
+
+x = [] 
+y1 = [] 
+y2 = [] 
+
+a = 5
+b = 10
+
+x_label = 'Queue Depth'
+y_label = 'context switch / sec'
+
+with open('results.csv','r') as csvfile: 
+    lines = csv.reader(csvfile, delimiter=',') 
+    for idx, row in enumerate(lines): 
+        print(idx, row)
+        #if idx == 1:
+            #x_label = row[0]
+            #y_label = row[a]
+        if idx > 1:
+            x.append(row[0]) 
+            y1.append(float(row[a])) 
+            y2.append(float(row[b])) 
+
+plt.plot(x, y1, marker = 'o',label = "Default") 
+plt.plot(x, y2, marker = 'o',label = "COOP_TASKRUN") 
+
+plt.xticks(rotation = 25) 
+plt.xlabel(x_label) 
+plt.ylabel(y_label) 
+
+plt.yscale("log")   
+
+plt.subplots_adjust(left=0.15, right=0.95, bottom=0.15, top=0.95)
+
+plt.grid() 
+plt.legend() 
+plt.savefig('result_cs.svg')
+

experiments/exp_01_coop_2023-12-03/plot_iops.py

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+import matplotlib.pyplot as plt 
+import csv 
+
+x = [] 
+y1 = [] 
+y2 = [] 
+
+a = 1
+b = 6
+
+x_label = 'Queue Depth'
+y_label = 'IOPS (x 1000)'
+
+with open('results.csv','r') as csvfile: 
+    lines = csv.reader(csvfile, delimiter=',') 
+    for idx, row in enumerate(lines): 
+        print(idx, row)
+        #if idx == 1:
+            #x_label = row[0]
+            #y_label = row[a]
+        if idx > 1:
+            x.append(row[0]) 
+            y1.append(float(row[a]) / 1000) 
+            y2.append(float(row[b]) / 1000) 
+
+plt.plot(x, y1, marker = 'o',label = "Default") 
+plt.plot(x, y2, marker = 'o',label = "COOP_TASKRUN") 
+
+plt.xticks(rotation = 25) 
+plt.xlabel(x_label) 
+plt.ylabel(y_label) 
+
+#plt.yscale("log")   
+
+plt.grid() 
+plt.legend() 
+plt.savefig('result_iops.svg')
+

experiments/exp_01_coop_2023-12-03/plot_lat.py

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+import matplotlib.pyplot as plt 
+import csv 
+
+import matplotlib as mpl
+mpl.rcParams["font.size"] = 16
+
+x = [] 
+y1 = [] 
+y2 = [] 
+
+a = 3
+b = 8
+
+x_label = 'Queue Depth'
+y_label = 'clat (p99) (ms)'
+
+with open('results.csv','r') as csvfile: 
+    lines = csv.reader(csvfile, delimiter=',') 
+    for idx, row in enumerate(lines): 
+        print(idx, row)
+        #if idx == 1:
+            #x_label = row[0]
+            #y_label = row[a]
+        if idx > 1:
+            x.append(row[0]) 
+            y1.append(float(row[a]) / 1000) 
+            y2.append(float(row[b]) / 1000) 
+
+plt.plot(x, y1, marker = 'o',label = "Default") 
+plt.plot(x, y2, marker = 'o',label = "COOP_TASKRUN") 
+
+plt.xticks(rotation = 25) 
+plt.xlabel(x_label) 
+plt.ylabel(y_label) 
+
+#plt.yscale("log")   
+
+plt.ylim(ymin=0)
+plt.subplots_adjust(left=0.15, right=0.95, bottom=0.15, top=0.95)
+
+plt.grid() 
+plt.legend() 
+plt.savefig('result_clat_p99.svg')
+