KylinX

Author:

Zhang Yiming1ORCID,Zhang Chengfei1,Wang Yaozheng1,Yu Kai1,Xue Guangtao2,Crowcroft Jon3

Affiliation:

1. NiceX Lab, National University of Defense Technology, Changsha, China

2. Shanghai Jiao Tong University, Shanghai, China

3. University of Cambridge, Cambridge, United Kingdom

Abstract

Unikernel specializes a minimalistic LibOS and a target application into a standalone single-purpose virtual machine (VM) running on a hypervisor, which is referred to as (virtual) appliance . Compared to traditional VMs, Unikernel appliances have smaller memory footprint and lower overhead while guaranteeing the same level of isolation. On the downside, Unikernel strips off the process abstraction from its monolithic appliance and thus sacrifices flexibility, efficiency, and applicability. In this article, we examine whether there is a balance embracing the best of both Unikernel appliances (strong isolation) and processes (high flexibility/efficiency). We present KylinX, a dynamic library operating system for simplified and efficient cloud virtualization by providing the pVM (process-like VM) abstraction. A pVM takes the hypervisor as an OS and the Unikernel appliance as a process allowing both page-level and library-level dynamic mapping. At the page level, KylinX supports pVM fork plus a set of API for inter-pVM communication (IpC, which is compatible with conventional UNIX IPC). At the library level, KylinX supports shared libraries to be linked to a Unikernel appliance at runtime. KylinX enforces mapping restrictions against potential threats. We implement a prototype of KylinX by modifying MiniOS and Xen tools. Extensive experimental results show that KylinX achieves similar performance both in micro benchmarks (fork, IpC, library update, etc.) and in applications (Redis, web server, and DNS server) compared to conventional processes, while retaining the strong isolation benefit of VMs/Unikernels.

Funder

NSFC

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference90 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hazard Trend Identification Model Based on Statistical Analysis of Abnormal Power Generation Behavior Data;International Transactions on Electrical Energy Systems;2022-08-31

2. TianheGraph: Customizing Graph Search for Graph500 on Tianhe Supercomputer;IEEE Transactions on Parallel and Distributed Systems;2022-04-01

3. Operating Systems and Hypervisors for Network Functions: A Survey of Enabling Technologies and Research Studies;IEEE Access;2022

4. Unikraft;Proceedings of the Sixteenth European Conference on Computer Systems;2021-04-21

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