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The persistent programming systems of the 1980s offered a programming modelthat integrated computation and long-term storage. In these systems, reliableapplications could be engineered without requiring the programmer to writetranslation code to manage the transfer of data to and from non-volatilestorage. More importantly, it simplified the programmer's conceptual model ofan application, and avoided the many coherency problems that result frommultiple cached copies of the same information. Although technicallyinnovative, persistent languages were not widely adopted, perhaps due in partto their closed-world model. Each persistent store was located on a singlehost, and there were no flexible mechanisms for communication or transfer ofdata between separate stores. Here we re-open the work on persistence andcombine it with modern peer-to-peer techniques in order to provide support fororthogonal persistence in resilient and potentially long-running distributedapplications. Our vision is of an infrastructure within which an applicationcan be developed and distributed with minimal modification, whereupon theapplication becomes resilient to certain failure modes. If a node, or theconnection to it, fails during execution of the application, the objects arere-instantiated from distributed replicas, without their reference holdersbeing aware of the failure. Furthermore, we believe that this can be achievedwithin a spectrum of application programmer intervention, ranging from minimalto totally prescriptive, as desired. The same mechanisms encompass anorthogonally persistent programming model. We outline our approach toimplementing this vision, and describe current progress.

A Peer-to-Peer Middleware Framework for Resilient Persistent Programming