Adapting to network and client variation using infrastructural proxies: Lessons and perspectives

Today's Internet clients vary widely with respect to both hardware and software properties: screen size, color depth, effective bandwidth, processing power, and the ability to handle different data formals. The order-of-magnitude span of this variation is too large to hide at the network level, making application-level techniques necessary. We show that on-the-fly adaptation by transformational proxies is a widely applicable, cost-effective, and flexible technique for addressing all these types of variations. To support this claim: we describe our experience with datatype-specific distillation (lossy compression) in a variety of applications. We also argue that placing adaptation machinery in the network infrastructure, rather than inserting it into end servers, enables incremental deployment and amortization of operating costs. To this end, we describe a programming model for large-scale interactive Internet services and a scalable cluster-based framework that has been in production use at UC Berkeley since April 1997. We present a detailed examination of TranSend, a scalable transformational Web proxy deployed on our cluster framework, and give descriptions of several handheld-device applications that demonstrate the wide applicability of the proxy-adaptation philosophy.