Swift shadow paging (SSP): No write-protection but following TLB flushing

Document Type

Conference Proceeding

Publication Date

4-2021

Department

Department of Computer Science

Abstract

Virtualization is a key technique for supporting cloud services and memory virtualization is a major component of virtualization technology. Common memory virtualization mechanisms include shadow paging and hardware-Assisted paging. The shadow paging model needs to synchronize shadow/guest page tables whenever there is a guest page table update. In the design of traditional shadow paging (TSP), the guest page table pages are write-protected so the updates can be intercepted by the hypervisor to ensure synchronization. Frequent page table updates cause lots of VM Exits. Researchers have developed hardware-Assisted paging to eliminate this overhead. However, address translation needs to walk a two-dimensional page table. This design significantly increases the overhead of page walk. This paper proposes SSP, a Swift Shadow Paging model which leverages the privileged hardware mode. In this design, the write protection mechanism is no longer needed. Rather, SSP accomplishes lazy page table synchronization by intercepting TLB flushing, which must be initiated by the guest OS when there is a page table update. The hardware mode, such as RISC-V's machine mode and Sunway's hardware mode, with the highest privilege, opens a new door for communication between the host OS and a guest OS. In addition, by using a shadow page table base address buffer, SSP eliminates the VM Exits generated by guest process context switching. SSP inherits the advantage of TSP as it remains as a software-only solution and does not incur the excessive overhead of page walk when compared to hardware-Assisted paging. We implement SSP in a Sunway machine. Our evaluation demonstrates SSP's advantage for multiple workloads. Compared with TSP, SSP reduces VM_Exits caused by memory virtualization by 23%-56%. And the virtualization overhead of SSP is less than 5.5% for all workloads.

Publication Title

VEE 2021 - Proceedings of the 17th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments

ISBN

9781450383943

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