Abstract
Many modern computerized systems are built as distributed, autonomous systems. Distributed systems have many advantages, e.g., the lack of a centralized control system. However, one situation that could lead to problems in a distributed system is when the data network partitions due to, e.g., a gateway failure. Such a partition can cause a stop in the execution of an isolated node, resulting in a reduction of performability and availability of the enure system. This paper proposes two strategies to handle data network partitions. Both strategies are based on the use of caches. The difference between them is that the first strategy uses a static cache while the second strategy uses a dynamic cache. The paper describes the difference between the caches and how the use of one, or both, caches increases the system’s performability and availability. The approach is illustrated with the help of an intelligent manufacturing system and a distributed database system.
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