Measuring CPU Overhead for I/O Processing in the Xen Virtual Machine Monitor

By L. Cherkasova, R. Gardner. USENIX ATC, General Track, 2005

346 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7e9f1019909c36a62f9636b2ee0eb6f8559fcfb1

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Citations in the corpus

A survey on techniques for improving the energy efficiency of large-scale distributed systems (2014, background): “The overhead posed by VM technologies [Cherkasova and Gardner 2005] has decreased over the years, which has expanded their appeal for running high performance computing applications [Tatezono et al.”
Enforcing Performance Isolation Across Virtual Machines in Xen (2006, methodology): “In [5], we used the number of memory page exchanges as an estimator.”
Scheduling I/O in virtual machine monitors (2008, methodology): “Speci.cally, it provides This work was supported in part by the National Science Foundation under Grant Nos.”
Diagnosing performance overheads in the xen virtual machine environment (2005, methodology): “It is important to gain a better understanding of the performance impact of using this new model [6].”
Dynamic Scheduling of Virtual Machines Running HPC Workloads in Scientific Grids (2007, methodology): “We refer a reader to the earlier case study [7] where the CPU overhead in Dom0 is measured for different file sizes retrieved from a web server.”
Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation (2009, background): “A number of studies have presented individual and side by side measurements of VM runtime overhead imposed by hypervisors on a variety of workloads [1, 9].”
On the Performance Variability of Production Cloud Services (2011, background): “Similarly, the performance loss due to virtualization for paral lel I/O and web server I/O has been shown to be below 30% [25] and 10% [26], respectively.”