All of our experiments can be automatically reproduced by calling a few pre-prepared scripts.

1. cmake > 3.10.0.
2. Profiling only supports Intel CPUs.
3. You may need to reset pmu once at first run, some pcm profiling results may be incorrect at first time.
4. Prepare cpu-mapping in cpu-mapping.txt.
5. real world datasets will be moved to the exp_dir/datasets automatically by scripts.
6. Our program should be running as root with two params exp_dir and l3_cache_size: sudo bash run_all.sh -d /data1/xtra -c 19922944.
7. You can run any subset of the experiment sections by modifying the exp_section in run_all.sh.

1. cmake install

sudo apt install -y cmake

1. tex font rendering:

sudo apt install -y texlive-fonts-recommended texlive-fonts-extra
sudo apt install -y dvipng
sudo apt install -y font-manager
sudo apt install -y cm-super

2. python3:

sudo apt install -y python3
sudo apt install -y python3-pip
pip3 install numpy
pip3 install matplotlib

3. NUMA library

sudo apt install -y libnuma-dev

4. Zlib

sudo apt install -y zlib1g-dev

5. python-tk

sudo apt install -y python-tk

6. perf

sudo apt install -y linux-tools-common
sudo apt install -y linux-tools-`uname -r` # XXX is the kernel version of your linux, use uname -r to check it. e.g. 4.15.0-91-generic
sudo echo -1 > /proc/sys/kernel/perf_event_paranoid # if permission denied, try to run this at root user.
sudo modprobe msr

Default parameters:

We have 4 real datasets that are compressed in datasets.tar.gz. Download and call tar -zvxf datasets.tar.gz to unzip those datasets.

We extracted the useful columns of those datasets, the one is joined key and another is timestamp.

DEBS:

​ comments_key32_partitioned.csv: user_id|comments_payload

​ posts_key32_partitioned.csv: user_id|posts_payload

YSB:

​ ad_events.txt: campaign_id|timestamp

​ campaigns_id.txt: campaign_id|campaign_payload

Rovio:

​ 1000ms_1t.txt: combined_id|payload|price|timestamp

Stock:

​ cj_1000ms_1t.txt: stockid|timestamp

​ sb_1000ms_1t.txt: stockid|timestamp

All results are in exp_dir/results/.

All figures are in exp_dir/results/figures.