Aaron R. Kunze

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Most packet processing applications receive and process multiple types of packets. Today, the processors available within packet processing systems are allocated to packet types at design time. In this paper, we explore the benefits and challenges of adapting allocations of processors to packet types in packet processing systems. We demonstrate that, for(More)
In this paper, we describe the vision and the design of a programming environment, called Shangri-La, aimed at making future generations of packet-processing systems – multi-core, lightweight threaded hardware in general, and network processor (NP)-based systems in particular – as easily programmable as today's workstations and servers. Our environment(More)
Network edge packet-processing systems, as are commonly implemented on network processor platforms, are increasingly required to support a rich set of services. These multi-service systems are also subjected to widely varying and unpredictable traffic. Current network processor systems do not simultaneously deal well with a variety of services and(More)
The complexity of packet-processing applications continues to grow, with encryption, compression, and XML processing becoming common on packet-processing devices at the edge of enterprise and service provider networks. While performance remains a key differentiator for these devices, the complexity and rate of change in the supported applications has made(More)
Implementors of packet-processing applications on multi-core processors must balance two requirements: (1) adapt processor allocations dynamically to reduce the overall resource provisioning requirement for the system, achieve robustness to traffic fluctuations, and reduce energy consumption; and (2) utilize, for each application stage, resources (e.g.,(More)
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