An efficient deadlock prevention approach for service oriented transaction processing

  • Authors:
  • Feilong Tang;Ilsun You;Shui Yu;Cho-Li Wang;Minyi Guo;Wenlong Liu

  • Affiliations:
  • Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;School of Information Science, Korean Bible University, Nowon-gu, Seoul, South Korea;School of Information Technology, Deakin University, Burwood, VIC 3125, Australia;Department of Computer Science, The University of Hong Kong, Hong Kong;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

  • Venue:
  • Computers & Mathematics with Applications
  • Year:
  • 2012

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Abstract

Transaction processing can guarantee the reliability of business applications. Locking resources is widely used in distributed transaction management (e.g., two phase commit, 2PC) to keep the system consistent. The locking mechanism, however, potentially results in various deadlocks. In service oriented architecture (SOA), the deadlock problem becomes even worse because multiple (sub)transactions try to lock shared resources in the unexpectable way due to the more randomicity of transaction requests, which has not been solved by existing research results. In this paper, we investigate how to prevent local deadlocks, caused by the resource competition among multiple sub-transactions of a global transaction, and global deadlocks from the competition among different global transactions. We propose a replication based approach to avoid the local deadlocks, and a timestamp based approach to significantly mitigate the global deadlocks. A general algorithm is designed for both local and global deadlock prevention. The experimental results demonstrate the effectiveness and efficiency of our deadlock prevention approach. Further, it is also proved that our approach provides higher system performance than traditional resource allocation schemes.