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International Journal of Parallel Programming - Special issue on the 19th international symposium on computer architecture and high performance computing (SBAC-PAD 2007)
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ASPLOS XVII Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
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vSlicer: latency-aware virtual machine scheduling via differentiated-frequency CPU slicing
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vBalance: using interrupt load balance to improve I/O performance for SMP virtual machines
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Chronos: predictable low latency for data center applications
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Small is better: avoiding latency traps in virtualized data centers
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NetVM: high performance and flexible networking using virtualization on commodity platforms
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ClickOS and the art of network function virtualization
NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation
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In a virtual machine (VM) consolidation environment, it has been observed that CPU sharing among multiple VMs will lead to I/O processing latency because of the CPU access latency experienced by each VM. In this paper, we present vTurbo, a system that accelerates I/O processing for VMs by offloading I/O processing to a designated core. More specifically, the designated core - called turbo core - runs with a much smaller time slice (e.g., 0.1ms) than the cores shared by production VMs. Most of the I/O IRQs for the production VMs will be delegated to the turbo core for more timely processing, hence accelerating the I/O processing for the production VMs. Our experiments show that vTurbo significantly improves the VMs' network and disk I/O throughput, which consequently translates into application-level performance improvement.