A dynamic information-structure mutual exclusion algorithm for distributed systems

A dynamic information-structure mutual-exclusion algorithm is presented for distributed systems whose information structure evolves with time as sites learn about the state of the system through messages. It is shown that the algorithm achieves mutual exclusion and is free from starvation. Unlike Maekawa-type algorithms, the proposed algorithm is not prone to deadlocks. This is because its information structure forms a staircaselike structure which in conjunction with timestamp ordering eliminates the possibility of deadlock. Besides having the flavor of dynamic information structure, the algorithm adapts itself to heterogeneous or fluctuating traffic conditions to optimize the performance. An asymptotic analysis of the performance of the algorithm for low and heavy traffics of requests for critical section execution is carried out