International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 73 - Number 1 |
Year of Publication: 2013 |
Authors: Pooja Sapra, Suresh Kumar, R K Rathy |
10.5120/12708-9509 |
Pooja Sapra, Suresh Kumar, R K Rathy . Deadlock Detection and Recovery in Distributed Databases. International Journal of Computer Applications. 73, 1 ( July 2013), 32-36. DOI=10.5120/12708-9509
As the need of distributed processing increases, the complexity in handling of deadlocks also increases. In distributed databases, the conditions for the deadlocks are same as that in centralized but harder to detect, avoid and prevent. Therefore special procedures are required to resolve the deadlock. In this paper we propose a new distributed deadlock detection and recovery algorithm that not only detects deadlock but also resolve them efficiently by aborting less number of transactions. We also present comparative analysis of the proposed algorithm and observed that the proposed algorithm reduces the number of transactions that are to be aborted to resolve the deadlocks, thus improving the performance of the system.