dragonball: initial commit

The dragonball crate initial commit that includes dragonball README and
basic code structure.

Fixes: #4257

Signed-off-by: wllenyj <wllenyj@linux.alibaba.com>
Signed-off-by: Chao Wu <chaowu@linux.alibaba.com>

src/dragonball/.gitignore

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+target
+Cargo.lock
+.idea

src/dragonball/Cargo.toml

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+[package]
+name = "dragonball"
+version = "0.1.0"
+authors = ["The Kata Containers community <kata-dev@lists.katacontainers.io>"]
+description = "A secure sandbox for Kata Containers"
+keywords = ["kata-containers", "sandbox", "vmm", "dragonball"]
+homepage = "https://katacontainers.io/"
+repository = "https://github.com/kata-containers/kata-containers.git"
+license = "Apache-2.0"
+edition = "2018"
+
+[dependencies]
+arc-swap = "1.5.0"
+dbs-device = "0.1.0"
+thiserror = "1"

src/dragonball/LICENSE

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+../../LICENSE

src/dragonball/README.md

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+# Dragonball
+
+## Introduction
+Dragonball Sandbox is a light-weight virtual machine manager(VMM) based on Linux Kernel-based Virtual Machine(KVM),
+which is optimized for container workloads with:
+- container image management and acceleration service
+- flexible and high-performance virtual device drivers
+- low cpu & memory overhead
+- industry-leading startup time
+- high concurrent startup throughput
+
+Dragonball Sandbox aims to provide a turnkey solution for the Kata Containers community. It is integrated into Kata 3.0
+runtime as a built-in VMM and gives users an out-of-the-box Kata Containers experience without complex environment setup
+and configuration process.
+
+## Getting Start
+[TODO]
+
+## Supported Architectures
+- x86-64
+- AArch64
+ 
+## Supported Kernel
+[TODO]
+
+## License
+
+Dragonball is licensed under [Apache License](http://www.apache.org/licenses/LICENSE-2.0), Version 2.0.

src/dragonball/src/lib.rs

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+// Copyright (C) 2018-2022 Alibaba Cloud. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+
+//! Dragonball is a light-weight virtual machine manager(VMM) based on Linux Kernel-based Virtual
+//! Machine(KVM) which is optimized for container workloads.