Queueing networks and Markov chains: modeling and performance evaluation with computer science applications
Open, Closed, and Mixed Networks of Queues with Different Classes of Customers
Journal of the ACM (JACM)
Building a robust software-based router using network processors
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Queue Management for QoS Provision Build on Network Processor
FTDCS '03 Proceedings of the The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems
Structural analysis of network traffic flows
Proceedings of the joint international conference on Measurement and modeling of computer systems
IBM PowerNP network processor: Hardware, software, and applications
IBM Journal of Research and Development
A fast string-matching algorithm for network processor-based intrusion detection system
ACM Transactions on Embedded Computing Systems (TECS)
Self-configuring network traffic generation
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Aberrant Behavior Detection in Time Series for Network Monitoring
LISA '00 Proceedings of the 14th USENIX conference on System administration
Design considerations for network processor operating systems
Proceedings of the 2005 ACM symposium on Architecture for networking and communications systems
Design and Implementation of a Content-Aware Switch Using a Network Processor
HOTI '05 Proceedings of the 13th Symposium on High Performance Interconnects
Performance Models for Network Processor Design
IEEE Transactions on Parallel and Distributed Systems
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Modern network processor systems require the ability to adapt their processing capabilities at runtime to changes in network traffic. Traditionally, network processor applications have been optimized for a single static workload scenario, but recently several approaches for run-time adaptation have been proposed. Comparing these approaches and developing novel run-time support algorithms is difficult due to the multicore system-on-a-chip nature of network processors. In this paper, we present a model for network processors that can aid in evaluating different run-time support systems. The model considers workload characteristics of applications and network traffic. We use a queuing network abstraction to model different runtime systems. We illustrate the effectiveness of this model by comparing the performance of two existing workload adaptation algorithms.