On the impact of workload burstiness on disk performance
Workload characterization of emerging computer applications
Capturing the spatio-temporal behavior of real traffic data
Performance Evaluation
Traveling to Rome: QoS Specifications for Automated Storage System Management
IWQoS '01 Proceedings of the 9th International Workshop on Quality of Service
IP Traffic Monitoring: An Overview and Future Considerations
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Electronic Notes in Theoretical Computer Science (ENTCS)
RTG: a recursive realistic graph generator using random typing
Data Mining and Knowledge Discovery
RTG: A Recursive Realistic Graph Generator Using Random Typing
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
An adaptive hybrid dynamic power management algorithm for mobile devices
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Recently the notion of self-similarity has been applied to wide-area and local-area network traffic. This paper demonstrates that disk-level I/O requests are self-similar in nature. We show evidences, visual and mathematical, that the I/O accesses are consistent with self-similarity. Moreover, we show that this property of I/O accesses is mainly due to writes. For our experiments, we use two sets of traces that collect the disk activity from two systems during a period of two months. Such behavior has serious implications for performance evaluation of storage subsystem designs and implementations, since commonly-used simplifying assumptions about workload characteristics (e.g., Poisson arrivals) are shown to be incorrect. Using the ON/OFF model, we implement a disk request generator. The inputs of this generator are the measured properties of the available trace data. We analyze the synthesized workload, and confirm that it exhibits the correct self-similar behavior.