Traffic model and performance evaluation of Web servers
Performance Evaluation
StreamGen: A Workload Generation Tool for Distributed Information Flow Applications
ICPP '04 Proceedings of the 2004 International Conference on Parallel Processing
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
CLASP: collaborating, autonomous stream processing systems
Proceedings of the ACM/IFIP/USENIX 2007 International Conference on Middleware
Distributed multi-layered workload synthesis for testing stream processing systems
Proceedings of the 40th Conference on Winter Simulation
Synthetic workload generation for capacity planning of virtual server environments
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
CLASP: collaborating, autonomous stream processing systems
MIDDLEWARE2007 Proceedings of the 8th ACM/IFIP/USENIX international conference on Middleware
An application-level content generative model for network applications
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
Methodologies for generating HTTP streaming video workloads to evaluate web server performance
Proceedings of the 5th Annual International Systems and Storage Conference
The need for application-aware access control evaluation
Proceedings of the 2012 workshop on New security paradigms
Streaming workload generator for testing billing mediation platform in telecom industry
Proceedings of the Winter Simulation Conference
Generating synthetic task graphs for simulating stream computing systems
Journal of Parallel and Distributed Computing
On the suitability of dissemination-centric access control systems for group-centric sharing
Proceedings of the 4th ACM conference on Data and application security and privacy
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Workload generation is commonly employed for performance characterization, testing and benchmarking of computer systems and networks. Workload generation typically aims at simulating or emulating traffic generated by different types of applications, protocols and activities, such as web browsing, email, chat, as well as stream multimedia traffic. We present a Scalable WORkloaD generator (SWORD) that we have developed for the testing and benchmarking of high-volume data processing systems. The tool is not only scalable but is also flexible and extensible allowing the generation of workload of a variety of types of applications and of contents.