On the future of research VMs: a hardware/software perspective.

Programming(2018)

引用 23|浏览16
暂无评分
摘要
In the recent years, we have witnessed an explosion of the usages of Virtual Machines (VMs) which are currently found in desktops, smartphones, and cloud deployments. These recent developments create new research opportunities in the VM domain extending from performance to energy efficiency, and scalability studies. Research into these directions necessitates research frameworks for VMs that provide full coverage of the execution domains and hardware platforms. Unfortunately, the state of the art on Research VMs does not live up to such expectations and lacks behind industrial-strength software, making it hard for the research community to provide valuable insights. This paper presents our work in attempting to tackle those shortcomings by introducing Beehive, our vision towards a modular and seamlessly extensible ecosystem for research on virtual machines. Beehive unifies a number of existing state-of-the-art tools and components with novel ones providing a complete platform for hardware/software co-design of Virtual Machines.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要