On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Shoring up persistent applications
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Self-similarity in World Wide Web traffic: evidence and possible causes
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Self-similarity in file systems
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Generating representative Web workloads for network and server performance evaluation
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
An analytic behavior model for disk drives with readahead caches and request reordering
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Implications of certain assumptions in database performance evauation
ACM Transactions on Database Systems (TODS)
Characterizing reference locality in the WWW
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Modeling Skewed Distribution Using Multifractals and the `80-20' Law
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A New Approach in the Modeling and Generation of Synthetic Disk Workload
MASCOTS '00 Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Self-Similarity in I/O Workload: Analysis and Modeling
WWC '98 Proceedings of the Workload Characterization: Methodology and Case Studies
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
A Mathematical Theory of Communication
A Mathematical Theory of Communication
A multifractal wavelet model with application to network traffic
IEEE Transactions on Information Theory
Modeling the relative fitness of storage
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Locality of sampling and diversity in parallel system workloads
Proceedings of the 21st annual international conference on Supercomputing
Modelling Zoned RAID Systems Using Fork-Join Queueing Simulation
EPEW '09 Proceedings of the 6th European Performance Engineering Workshop on Computer Performance Engineering
Using bulk arrivals to model I/O request response time distributions in zoned disks and RAID systems
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
A Realistic Integrated Model of Parallel System Workloads
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
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
A disk-based, adaptive approach to memory-limited computation of windowed stream joins
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
Storage workload modelling by hidden Markov models: Application to Flash memory
Performance Evaluation
Extracting flexible, replayable models from large block traces
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
Spatio-temporal mining of software adoption & penetration
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Traffic data, such as disk and memory accesses, typically exhibits burstiness, temporal locality, and spatial locality. However, except for qualitative speculations, it is not even known how to measure the spatio-temporal correlation, let alone how to re-produce it realistically. In this paper, we propose the "entropy plots" to quantify the correlation and develop a new statistical model, the "PQRS" model, to capture the burstiness and correlation of the real spatio-temporal traffic. Moreover, the model requires very few parameters and offers linear scalability. Experiments with multiple real data sets show that our model can mimic real traces very well.