Abstract
The authors propose and prove a distributed algorithm for detection and resolution of resource deadlocks in object-oriented distributed systems. In particular, the algorithm can be used in conjunction with concurrency control algorithms which are based on the semantic lock model. The algorithm greatly reduces message traffic by properly identifying and eliminating redundant messages. It is shown that both its worst and average time complexities are O(n*e), where n is the number of nodes and e is the number of edges in the waits-for graph. After deadlock resolution, the algorithm leaves information in the system concerning dependence relations of currently running transactions. This information will preclude the wasteful retransmission of messages and reduce the delay in detecting future deadlocks.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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