diff --git a/demo/linux.sh b/demo/linux.sh
new file mode 100644
index 000000000..f9678c24b
--- /dev/null
+++ b/demo/linux.sh
@@ -0,0 +1,207 @@
+#!/bin/bash
+
+while getopts l:p: flag
+do
+ case "${flag}" in
+ l) login=${OPTARG};;
+ p) password=${OPTARG};;
+ esac
+done
+
+echo "[ INFO ] Demo application has been started"
+demo_folder="$PWD"
+root_folder="${demo_folder}/.."
+openvino_version="2022.1.0"
+
+echo "[ INFO ] Creation server has been started"
+server_folder="${demo_folder}/server"
+[ -d $server_folder ] && rm -rf $server_folder
+mkdir $server_folder && cd $server_folder
+echo "[ INFO ] Cloning of DLB repository"
+dlb_server="${server_folder}/dl-benchmark"
+git clone https://github.com/itlab-vision/dl-benchmark.git
+echo "[ INFO ] Creation server has been completed"
+
+echo "[ INFO ] Creation of client has been started"
+echo "[ INFO ] Creation client folder"
+client_folder="${demo_folder}/client"
+[ -d $client_folder ] && rm -rf $client_folder
+mkdir $client_folder
+cd $client_folder
+echo "[ INFO ] Cloning of DLB repository"
+dlb_client="${client_folder}/dl-benchmark"
+[ -d $dlb_client ] && rm -rf $dlb_client
+git clone https://github.com/itlab-vision/dl-benchmark.git
+echo "[ INFO ] Cloning of OMZ repository"
+omz_client="${client_folder}/open_model_zoo"
+[ -d $omz_client ] && rm -rf $omz_client
+git clone https://github.com/openvinotoolkit/open_model_zoo.git --recursive --branch $openvino_version --single-branch
+models_dir="${omz_client}/tools/accuracy_checker/data/test_models"
+echo "[ INFO ] Download dataset 'cifar-10-python'"
+wget https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
+mkdir dataset && tar xvf cifar-10-python.tar.gz -C dataset
+dataset_dir="${omz_client}/dataset"
+rm -rf cifar-10-python.tar.gz
+echo "[ INFO ] Creation of client has been been completed"
+
+echo "[ INFO ] Creation of Docker image has been started"
+cd $root_folder/docker/OpenVINO_DLDT
+apt install docker.io
+image_name="openvino:${openvino_version}"
+docker build -t $image_name .
+echo "[ INFO ] Creation of archive with Docker image"
+archive_name="openvino_${openvino_version}.tar"
+docker save $image_name > $archive_name
+archive_path="$PWD/$archive_name"
+echo "[ INFO ] Archive ${archive_path} has been created"
+echo "[ INFO ] Creation of Docker image has been completed"
+
+echo "[ INFO ] Deployment of DLB system has been started"
+cd $demo_folder
+ip_address=$(ip -o route get to 8.8.8.8 | sed -n 's/.*src \([0-9.]\+\).*/\1/p')
+echo "[ INFO ] IP-address of the host: ${ip_address}"
+echo "[ INFO ] Configuration creation for deployment module"
+deployment_config="${PWD}/deploy_config.xml"
+[ -f $deployment_config ] && rm -rf $deployment_config
+echo \
+"
+
+
+ ${ip_address}
+ ${login}
+ itmm
+ Linux
+ ${client_folder}
+ ${dataset_dir}
+ ${models_dir}
+
+" \
+ >> $deployment_config
+echo "[ INFO ] Launch deploy.py script"
+cd $root_folder/src/deployment
+python3 deploy.py -s $ip_address -l $login -p itmm \
+ -i $archive_path \
+ -d $server_folder \
+ -n OpenVINO_DLDT \
+ --machine_list $deployment_config \
+ --project_folder $dlb_server
+echo "[ INFO ] Deployment of DLB system has been completed"
+
+echo "[ INFO ] Preparing configuration for benchmarking"
+cd $demo_folder
+benchmark_config="benchmark_config.xml"
+benchmark_config_path="${PWD}/${benchmark_config}"
+[ -f $benchmark_config_path ] && rm -rf $benchmark_config_path
+task="test"
+model_name="SampleNet"
+model_xml="/mnt/models/SampLeNet.xml"
+model_bin="/mnt/models/SampLeNet.xml"
+framework="OpenVINO DLDT"
+device="CPU"
+echo \
+"
+
+
+
+ ${task}
+ ${model_name}
+ FP32
+ Caffe
+ ${model}
+ ${model_bin}
+
+
+ ImageNET
+ /tmp/itlab-vision-dl-benchmark-data/Datasets/ImageNET/
+
+
+ ${framework}
+ 1
+ ${device}
+ 10
+ 180
+
+
+ sync
+
+
+
+
+
+
+
+
+ ${task}
+ ${model_name}
+ FP32
+ Caffe
+ ${model}
+ ${model_bin}
+
+
+ ImageNET
+ /tmp/itlab-vision-dl-benchmark-data/Datasets/ImageNET/
+
+
+ ${framework}
+ 1
+ ${device}
+ 10
+ 180
+
+
+ async
+
+
+
+
+
+
+" \
+ >> $benchmark_config_path
+echo "[ INFO ] Model: ${model_xml}"
+echo "[ INFO ] Weights: ${model_bin}"
+echo "[ INFO ] Framework: ${framework}"
+echo "[ INFO ] Device: ${device}"
+echo "[ INFO ] Modes: latency, throughput"
+
+echo "[ INFO ] Preparing configuration for accuracy checker"
+accuracy_checker_config="accuracy_checker_config.xml"
+accuracy_checker_config_path="${PWD}/${accuracy_checker_config}"
+[ -f $accuracy_checker_config_path ] && rm -rf $accuracy_checker_config_path
+model_path="/mnt/models"
+config_path="${omz_client}/sample/sample_config.yml"
+echo \
+"
+
+
+
+ ${task}
+ ${model_name}
+ FP32
+ Caffe
+ ${model_path}
+
+
+ ${framework}
+ ${device}
+ ${config_path}
+
+
+" \
+ >> $accuracy_checker_config_path
+echo "[ INFO ] Model: ${model_name}"
+echo "[ INFO ] Framework: ${framework}"
+echo "[ INFO ] Device: ${device}"
+echo "[ INFO ] Config: ${config_path}"
+
+echo "[ INFO ] Copying of benchmark configuration file ${benchmark_config_path} to server"
+# use cp instead of scp because scp asks password
+cp $benchmark_config_path $server_folder/$benchmark_config
+echo "[ INFO ] Copying of accuracy checker configuration ${accuracy_checker_config_path} file to server"
+# use cp instead of scp because scp asks password
+cp $accuracy_checker_config_path $server_folder/$accuracy_checker_config
+
+cd $demo_folder
+
+# TODO: Add removing files after demonstration
diff --git a/src/deployment/client.py b/src/deployment/client.py
index 5562844ab..b2a4feff2 100644
--- a/src/deployment/client.py
+++ b/src/deployment/client.py
@@ -98,8 +98,8 @@ def main():
os.system(f'docker run --privileged -d -it '
f'--name {args.container_name} '
f'-v /dev:/dev '
- f'-v {args.model_path}:{args.model_path} '
- f'-v {args.dataset_path}:{args.dataset_path} '
+ f'-v {args.model_path}:/mnt/models '
+ f'-v {args.dataset_path}:/mnt/datasets '
f'--network=host {image_name.split(".")[0]}')