The automatic improvement of locality in storage systems
ACM Transactions on Computer Systems (TOCS)
A comparison of file system workloads
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
Measurement and analysis of large-scale network file system workloads
ATC'08 USENIX 2008 Annual Technical Conference on Annual Technical Conference
Modeling remote desktop systems in utility environment with application to QoS management
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Evolution of thread-level parallelism in desktop applications
Proceedings of the 37th annual international symposium on Computer architecture
Disk drive workload captured in logs collected during the field return incoming test
WASL'08 Proceedings of the First USENIX conference on Analysis of system logs
Capturing the object behaviour for storage system evaluation
International Journal of High Performance Computing and Networking
Revisiting the storage stack in virtualized NAS environments
WIOV'11 Proceedings of the 3rd conference on I/O virtualization
Design implications for enterprise storage systems via multi-dimensional trace analysis
SOSP '11 Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles
Smart layers and dumb result: IO characterization of an android-based smartphone
Proceedings of the tenth ACM international conference on Embedded software
I/O stack optimization for smartphones
USENIX ATC'13 Proceedings of the 2013 USENIX conference on Annual Technical Conference
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Most published research on system behavior and workload characterization has been based on either Unix systems or large, usually IBM, mainframe systems. It is reasonable to believe that user behaviors and workloads are different for PC systems. Further, the aspects of system design and most needing study have changed from the mainframes dominant in the 1960s and 1970s, and the Unix systems that became so popular in the 1980s to the PCs that seem to be rapidly taking over many or most aspects of computing. Our analysis focuses instead on Windows95, which is currently the most widely used computer operating system; the newly released Windows98 is very similar. In this paper, we describe our workload analysis based on 36 sets of traces collected from Intel Pentium based PCs running the Microsoft Windows95 operating system. Following the discussion of our Windows95 trace data, we present some descriptive and statistical characterization of this data, directed principally at user behavior and file system behavior.