Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
Specification and execution of transactional workflows
Modern database systems
Overcoming heterogeneity and autonomy in multidatabase systems
Information and Computation
Agent-based transactions into decentralised P2P
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Transaction management issues in a failure-prone multidatabase system environment
The VLDB Journal — The International Journal on Very Large Data Bases
Overview of multidatabase transaction management
The VLDB Journal — The International Journal on Very Large Data Bases
Global Scheduling for Flexible Transactions in Heterogeneous Distributed Database Systems
IEEE Transactions on Knowledge and Data Engineering
Mapping data in peer-to-peer systems: semantics and algorithmic issues
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
The hyperion project: from data integration to data coordination
ACM SIGMOD Record
The Piazza Peer Data Management System
IEEE Transactions on Knowledge and Data Engineering
Decentralized coordination of transactional processes in peer-to-peer environments
Proceedings of the 14th ACM international conference on Information and knowledge management
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Scalaris: reliable transactional p2p key/value store
Proceedings of the 7th ACM SIGPLAN workshop on ERLANG
Transaction processing in a peer to peer database network
Data & Knowledge Engineering
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A peer database network consists of peers in which each peer has its own pre-existing local database system (LDBS). In a peer database network, the integration of sources is performed using pairwise mappings, and a peer shares its local database information with other peers by establishing data sharing constraints either by schema-level or data-level mappings. In our peer database network, we assume that each peer uses data-level mappings [7] for sharing data and resolving data heterogeneity. In this paper, we first introduce the execution semantics of a transaction in such a peer database network and formalize the problems of ensuring transaction execution consistency in the presence of failures of transactions. Since there is no global transaction manager and each peer executes transactions independently in a peer database network, different peers may have different execution views for the same set of transactions. Addressing this issue, we present an approach for ensuring a consistent execution of transactions in a peer database network.