GPFS: A Shared-Disk File System for Large Computing Clusters
FAST '02 Proceedings of the Conference on File and Storage Technologies
Virtualizing I/O Devices on VMware Workstation's Hosted Virtual Machine Monitor
Proceedings of the General Track: 2002 USENIX Annual Technical Conference
Analysis of Personal Computer Workloads
MASCOTS '99 Proceedings of the 7th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Characteristics of File System Workloads
Characteristics of File System Workloads
A comparison of file system workloads
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
High performance and scalable I/O virtualization via self-virtualized devices
Proceedings of the 16th international symposium on High performance distributed computing
Bridging the gap between software and hardware techniques for I/O virtualization
ATC'08 USENIX 2008 Annual Technical Conference on Annual Technical Conference
Easy and Efficient Disk I/O Workload Characterization in VMware ESX Server
IISWC '07 Proceedings of the 2007 IEEE 10th International Symposium on Workload Characterization
Generating realistic impressions for file-system benchmarking
FAST '09 Proccedings of the 7th conference on File and storage technologies
Discovery of application workloads from network file traces
FAST'10 Proceedings of the 8th USENIX conference on File and storage technologies
Improving Bandwidth Efficiency for Consistent Multistream Storage
ACM Transactions on Storage (TOS)
Improving I/O performance using virtual disk introspection
HotStorage'13 Proceedings of the 5th USENIX conference on Hot Topics in Storage and File Systems
Virtual machine workloads: the case for new benchmarks for NAS
FAST'13 Proceedings of the 11th USENIX conference on File and Storage Technologies
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Cloud architectures are moving away from a traditional data center design with SAN and NAS attached storage to a more flexible solution based on virtual machines with NAS attached storage. While VM storage based on NAS is ideal to meet the high scale, low cost, and manageability requirements of the cloud, it significantly alters the I/O profile for which NAS storage is designed. In this paper, we explore the storage stack in a virtualized NAS environment and highlight corresponding performance implications.