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.>

A distributed algorithm is proposed for detection and resolution of resource deadlocks in object-oriented distributed systems. The algorithm can be used in conjunction with concurrency control algorithms that are based on the semantic lock model. To drastically reduce message traffic, the algorithm properly identifies and eliminates redundant messages. It is shown that its worst and average time complexities are O(ne), where e is the number of edges in the waits-for graph and n is the number of vertices.>

We propose a distributed algorithm for detection and resolution of resource deadlocks in object-oriented distributed systems. The algorithm proposed is shown to detect and resolve all O(n1) cycles present in the worst case waits-for-graph (WFG) with n vertices by transmitting O(n3) messages of small constant size. Its average time complexity has been shown to be O(ne), where e is the number of edges in the WFG After deadlock resolution, the algorithm leaves information in the system concerning dependence relations of running transactions. This information will preclude the wasteful retransmission of messages and reduce the delay in detecting future deadlocks.