Building the hardware for a high-performance distributed computer system is a lot easier than building its software. The authors describe a model for programming distributed systems based on abstract data types that can be replicated on all machines that need them. Read operations are done locally, without requiring network traffic. Writes can be done using a reliable broadcast algorithm if the hardware supports broadcasting; otherwise, a point-to-point protocol is used. The authors have built such a system based on the Amoeba microkernel, and implemented a language, Orca, on top of it. For Orca applications that have a high ratio of reads to writes, they measure good speedups on a system with 16 processors.
Tanenbaum, A. S., Bal, H. E., & Kaashoek, M. F. (1993). Programming a Distributed System Using Shared Objects. In Proceedings the 2nd International Symposium on High Performance Distributed Computing (pp. 5-12). IEEE. https://doi.org/10.1109/HPDC.1993.263863