On runtime management in multi-core packet processing systems
Proceedings of the 4th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
Design of a network service processing platform for data path customization
Proceedings of the 2nd ACM SIGCOMM workshop on Programmable routers for extensible services of tomorrow
Runtime resource allocation in multi-core packet processing systems
HPSR'09 Proceedings of the 15th international conference on High Performance Switching and Routing
Support for dynamic adaptation in next generation packet processing systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Simplifying data path processing in next-generation routers
Proceedings of the 5th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
SP4: scalable programmable packet processing platform
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
SP4: scalable programmable packet processing platform
ACM SIGCOMM Computer Communication Review - Special october issue SIGCOMM '12
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Network processors promise a flexible, programmable packet processing infrastructure for network systems. To make full use of the capabilities of network processors, it is imperative to provide the ability to dynamically adapt to changing traffic patterns in the form of a network processor runtime system. The differences from existing operating systems and the main challenges lie in the multiprocessor nature of NPs, their on-chip resource constraints, and real-time processing requirements. In this article we explore the key design trade-offs that need to be considered when designing a network processor operating system. In particular, we explore the performance impact of application analysis on partitioning, traffic characterization, workload mapping, and runtime adaptation. We present and discuss qualitative and quantitative results in the context of a particular application analysis and mapping framework. The observations and conclusions are generally applicable to any runtime environment for network processors.