Capturing the spatio-temporal behavior of real traffic data
Performance Evaluation
Efficient elastic burst detection in data streams
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A Low Power Strategy for Future Mobile Terminals
Proceedings of the conference on Design, automation and test in Europe - Volume 1
Mining block correlations to improve storage performance
ACM Transactions on Storage (TOS)
C-Miner: Mining Block Correlations in Storage Systems
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
Load shedding in stream databases: a control-based approach
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Modeling the relative fitness of storage
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Electronic Notes in Theoretical Computer Science (ENTCS)
Long range dependent job arrival process and its implications in grid environments
Proceedings of the first international conference on Networks for grid applications
Autonomous DVFS on Supply Islands for Energy-Constrained NoC Communication
ARCS '09 Proceedings of the 22nd International Conference on Architecture of Computing Systems
Analyzing patterns of user content generation in online social networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
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
Hierarchical agent monitoring design approach towards self-aware parallel systems-on-chip
ACM Transactions on Embedded Computing Systems (TECS)
Opt-in detection based on call detail records
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Comparing Energy and Latency of Asynchronous and Synchronous NoCs for Embedded SoCs
NOCS '10 Proceedings of the 2010 Fourth ACM/IEEE International Symposium on Networks-on-Chip
Metric forensics: a multi-level approach for mining volatile graphs
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
RDRP: Reward-Driven Request Prioritization for e-Commerce web sites
Electronic Commerce Research and Applications
Processing exact results for sliding window joins over data streams using disk storage
International Journal of Intelligent Information and Database Systems
Fast Discovery of Group Lag Correlations in Streams
ACM Transactions on Knowledge Discovery from Data (TKDD)
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
C-Miner: mining block correlations in storage systems
FAST'04 Proceedings of the 3rd USENIX conference on File and storage technologies
Exploiting Service Usage Information for Optimizing Server Resource Management
ACM Transactions on Internet Technology (TOIT)
Link pipelining strategies for an application-specific asynchronous NoC
NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip
Efficient maintenance of ephemeral data
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Control-based quality adaptation in data stream management systems
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
Mining internet data sets for computational grids
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Extracting flexible, replayable models from large block traces
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
An application-level content generative model for network applications
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
Driver input selection for main-memory multi-way joins
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Multi-query scheduling for time-critical data stream applications
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
| Hi-index | 0.00 |
Network, web, and disk I/O traffic are usually bursty, self-similar and therefore can not be modeled adequately with Poisson arrivals. However, we do want to model these types of traffic and to generate realistic traces, because of obvious applications for disk scheduling, network management, web server design.Previous models (like fractional Brownian motion, FARIMA etc) tried to capture the `burstiness'. However, the proposed models either require too many parameters to fit and/or require prohibitively large (quadratic) time to generate large traces. We propose a simple, parsimonious method, the b-model, which solves both problems: It requires just one parameter, and it can easily generate large traces. In addition, it has many more attractive properties: (a) With our proposed estimation algorithm, it requires just a single pass over the actual trace to estimate b. For example, a one-day-long disk trace in milliseconds contains about 86Mb data points and requires about 3 minutes for model fitting and 5 minutes for generation. (b) The resulting synthetic traces are very realistic: our experiments on real disk and web traces show that our synthetic traces match the real ones very well in terms of queuing behavior.