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This paper presents the design, implementation, and performance evaluation of a software fault manager for distributed applications. Dubbed ST A R , it uses the natural redundancy existing in networks of workstations to offer a high level of fault tolerance. Fault management is transparent to the supported parallel applications. To improve the response time of fault-tolerant applications, S T A R implements nonblocking and incremental checkpointing to perform an efficient backup of process state. Moreover, ST A R is application independent, highly configurable. Star actually runs on top of SunOs and is easily portable to UNIXTM-like operating systems. The current implementation is based on independent checkpointing and message logging. Measurements show the efficiency and the limits of this implementation. The challenge is to show that a software approach to fault tolerance can efficiently be implemented in a standard networked environment.

The STAR Fault Manager for Distributed Operating Environments. Design, Implementation and Performance