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Interest in distributed storage is fueled by demand for reliability and resilience combined with ubiquitous availability. Peer-to-peer (P2P) storage networks are known for their decentralized control, self-organization, and adaptation. Advanced searching for documents and resources remains an open problem. The flooding approach favored by some P2P networks is ineffiencient in resource usage, but more scalable and resource-efficient solutions based on Distributed Hash Tables (DHT) lack in query expressiveness and flexibility. In this paper, we address this issue and introduce new efficient, scalable, and completely distributed methods that strive to keep resource consumption by queries and index information as low as possible. We describe how to improve the handling of multiple subqueries combined through boolean set operators. The need for these operators is intensified by applications to go beyond simple exact keyword matches. We discuss, optimize, and analyze appropriate extensions to support range and prefix matching in DHTs.

In this paper, we present five case studies of advanced networking functions that detail how a network processor (NP) can provide high performance and also the necessary flexibility compared with Application-Specific Integrated Circuits (ASICs). We first review the basic NP system architectures, and describe the IBM PowerNP architecture from a data-plane as well as from a control-plane point of view. We introduce models for the programmer's views of NPs that facilitate a global understanding of NP software programming. Then, for each case study, we present results from prototypes as well as general considerations that apply to a wider range of system architectures. Specifically, we investigate the suitability of NPs for Quality of Service (active queue management and traffic engineering), header processing (GPRS tunneling protocol), intelligent forwarding (load balancing without flow disruption), payload processing (code interpretation and just-in-time compilation in active networks), and protocol stack termination (SCTP). Finally, we summarize the key features as revealed by each case study, and conclude with remarks on the future of NPs.

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Abstract. Network processors have been developed to ease the implementation of new network protocols in high-speed routers. Being embedded in network interface cards, they enable extended packet processing at link speed as is required, for instance, for active network nodes. Active network nodes start using network processors for extended packet processing close to the link. The control and configuration of high-performance active network nodes with network processors such that new services can benefit from the additional processing capacity offered is nontrivial since the complexity to configure a node while providing sufficient level of abstraction is hard to master. In this paper, we present PromethOS NP which is a modular and flexible router architecture that provides a framework for dynamic service extension by plugins with integrated support of network processors, namely the IBM PowerNP 4GS3 network processor. We briefly introduce the PowerNP architecture in order to show how our active networking framework maps onto this network processor and provide results from performance measurements. Owing to architectural similarities of network processors, we believe that our considerations are also valid for other network processors.

Network processors (NPs) implement a balance between hardware and software that addresses the demand of performance and programmability in active networks (AN). We argue that this makes them an important player in the implementation and deployment of ANs. Besides a general introduction into the relationship of NPs and ANs, we describe the power of this combination in a framework for secure and safe capsule-based active code. We also describe the advantages of offloading AN control point functionality into the NP and how to execute active code in the data path efficiently. Furthermore, the paper reports on experiences about implementing active networking concepts on the IBM PowerNP network processor.