Principles of distributed database systems
Principles of distributed database systems
Isolation-only transactions for mobile computing
ACM SIGOPS Operating Systems Review
The dangers of replication and a solution
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
A mobile transaction model that captures both the data and movement behavior
Mobile Networks and Applications
Distributed Operating Systems and Algorithms
Distributed Operating Systems and Algorithms
Data Management for Mobile Computing
Data Management for Mobile Computing
Any Time, Anywhere Computing: Mobile Computing Concepts and Technology
Any Time, Anywhere Computing: Mobile Computing Concepts and Technology
Supporting semantics-based transaction processing in mobile database applications
SRDS '95 Proceedings of the 14TH Symposium on Reliable Distributed Systems
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
A Survey of Mobile Transactions
Distributed and Parallel Databases
UbiData: requirements and architecture for ubiquitous data access
ACM SIGMOD Record
Information Sharing Modalities for Mobile Ad-Hoc Networks
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part I
Single lock manager approach for achieving concurrency control in mobile environments
HiPC'07 Proceedings of the 14th international conference on High performance computing
A new model for context-aware transactions in mobile services
Personal and Ubiquitous Computing
Context-adaptive and energy-efficient mobile transaction management in pervasive environments
The Journal of Supercomputing
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We introduce a new mobile transaction model applicable to decisionmaking applications over aggregate data warehoused on mobile hosts. The model allows the aggregate data to be updated in disconnection mode, while guaranteeing a very high rate of commitment on reconnection. We name such transactions High Commit Mobile Transactions, or HiCoMo. At reconnectiontime, HiCoMo's are analyzed and several base (fixed network) transactions are generated in order to bring the same effect upon the base tables from which the aggregates are derived. In this paper, we provide a formal definition for the concepts related to HiCoMo's, and a transformation algorithm that is used to analyze them and generate base transactions. We provide a simple example scenario to demonstrate the usefulness of this transaction model. Finally, we compare the commit behavior of HiCoMo's to that of the two-tier model using simulation and a mobile transaction benchmark drawn from an inventory application domain.