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CNS Core: Medium: Rethinking Architecture and Operating Systems for Modern Virtualization Technologies

CNS Core: Medium: Rethinking Architecture and Operating Systems for Modern Virtualization Technologies
CNS 核心:中:重新思考现代虚拟化技术的架构和操作系统
批准号:
1956007
负责人:
Josep Torrellas
金额:
$85.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-01 至 2024-09-30

项目摘要

项目成果

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中文摘要
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英文摘要
This project addresses important challenges posed by the widespread deployment of modern virtualization technologies, including containers and function-as-a-service environments. Containers are very low-overhead virtual machines, and function-as-a-service environments are systems where users run many small jobs, and are billed as such. In these environments, two major challenges are insecurity due to the lack of isolation, and poor scalability due to the many jobs that are running. This project rethinks the computer architecture and the operating system of machines to support these environments securely and scalably.This work develops a set of novel, transformative computer architecture and operating system technologies that will dramatically improve the security and the scalability of novel virtualization technologies. On the security side, this project will explore novel hardware and software designs to filter system calls efficiently. The idea is to examine every system call that programs issue at runtime and check and validate their arguments for security. On the scalability side, this project will enable the ability to run thousands of containers or functions on the same machine simultaneously, by redesigning TLBs (Translation Lookaside Buffers) and page tables. Overall, these technologies will enhance cloud computing. This project will initiate an effort on multidisciplinary research and education on whole-system support for modern virtualization technologies in cloud at the University of Illinois. The efforts in this project include working with the Department of Computer Science to broaden the course offerings with multidisciplinary courses in the general area of cloud computing and datacenter technologies. This project will also offer research opportunities to undergraduate students, and broaden participation to under-represented minorities. The project will include an effort of coaching middle and high school robotics teams. This project will maintain a repository with all the data, code, results, emulators and simulators used and developed during the duration of the project. The repository will be accessible password-free through http://iacoma.cs.uiuc.edu, and will be kept up to date for at least three years after the project ends.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
Parallel virtualized memory translation with nested elastic cuckoo page tables
使用嵌套弹性布谷鸟页表进行并行虚拟化内存转换
DOI: 10.1145/3503222.3507720
发表时间: 2022
期刊: Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
影响因子: --
作者: [Stojkovic, Jovan, Skarlatos, Dimitrios, Kokolis, Apostolos, Xu, Tianyin, Torrellas, Josep]
通讯作者: Torrellas, Josep
DOI: 10.1145/3579371.3589069
发表时间: 2023-06
期刊: Proceedings of the 50th Annual International Symposium on Computer Architecture
影响因子: --
作者: [Jovan Stojkovic;Tianyi Xu;H. Franke;J. Torrellas]
通讯作者: Jovan Stojkovic;Tianyi Xu;H. Franke;J. Torrellas
DOI: 10.1145/3492321.3519562
发表时间: 2022-03
期刊: Proceedings of the Seventeenth European Conference on Computer Systems
影响因子: --
作者: [H. Kuo;Kaiyu Chen;Yicheng Lu;Daniel W. Williams;Sibin Mohan;Tianyi Xu]
通讯作者: H. Kuo;Kaiyu Chen;Yicheng Lu;Daniel W. Williams;Sibin Mohan;Tianyi Xu
DOI: 10.1109/hpca56546.2023.10071061
发表时间: 2023-02
期刊: 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
影响因子: --
作者: [Jovan Stojkovic;Namrata Mantri;Dimitrios Skarlatos;Tianyi Xu;J. Torrellas]
通讯作者: Jovan Stojkovic;Namrata Mantri;Dimitrios Skarlatos;Tianyi Xu;J. Torrellas
Collaborative Research: PPoSS: LARGE: General-Purpose Scalable Technologies for Fundamental Graph Problems
SHF: Medium: Cross-Cutting Effort to Make Non-Volatile Memories Truly Usable
PPoSS: Planning: A Cross-Layer Approach to Accelerate Large-Scale Graph Computations on Distributed Platforms
CSR: Medium: Effective Control to Maximize Resource Efficiency in Large Clusters; Hardware, Runtime, and Compiler Perspectives
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