Campus-based publishing partnerships: A guide to critical issues

Campus-based publishing partnerships offer the academy greater control over the intellectual products that it helps create. To fully realize this potential, such partnerships will need to evolve from informal working alliances to long-term, programmatic collaborations. SPARCâ s Campus-based Publishing Partnerships: A Guide to Critical Issues addresses issues relevant to building sound and balanced partnerships, including: Establishing governance and administrative structures; Identifying funding models that accommodate the objectives of both libraries and presses; Defining a partnershipâ s objectives to align the missions of the library and the press; Determining what services to provide; and Demonstrating the value of the collaboration. SPARCâ s Campus-based Publishing Partnerships will help libraries, presses, and academic units to define effective partnerships capable of supporting innovative approaches to campus-based publishing.

Distributed Packet Rewriting and its Application to Scalable Server Architectures

To construct high performance Web servers, system builders are increasingly turning to distributed designs. An important challenge that arises in distributed Web servers is the need to direct incoming connections to individual hosts. Previous methods for connection routing have employed a centralized node which handles all incoming requests. In contrast, we propose a distributed approach, called Distributed Packet Rewriting (DPR), in which all hosts of the distributed system participate in connection routing. We argue that this approach promises better scalability and fault-tolerance than the centralized approach. We describe our implementation of four variants of DPR and compare their performance. We show that DPR provides performance comparable to centralized alternatives, measured in terms of throughput and delay under the SPECweb96 benchmark. Finally, we argue that DPR is particularly attractive both for small scale systems and for systems following the emerging trend toward increasingly intelligent I/O subsystems.