A critique of ANSI SQL isolation levels
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
ACM SIGMOD Record
Anatomy of a native XML base management system
The VLDB Journal — The International Journal on Very Large Data Bases
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
Linear road: a stream data management benchmark
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Web Services: Concepts, Architectures and Applications
Web Services: Concepts, Architectures and Applications
ICWE'10 Proceedings of the 10th international conference on Web engineering
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Many modern distributed applications employ protocols based on XML messages. Typical architectures for these applications follow an approach where messages are organized in queues, state is stored in DBMS, and application code is written in imperative languages. As a result, much developer productivity and system performance is wasted on handling conversions between the various data models (XML messages, objects, relations), and reliably managing persistent state for application instances. This overhead turns application servers into data management servers instead of process servers. We show how this model can be greatly improved by changing two aspects. Firstly, by using a declarative rule language to describe the processing logic. Secondly, by providing a single, unified data model based on XML messages that covers all kinds of data encountered, including process state. We discuss the resulting design choices for compile-time and run-time systems, and show and experimentally evaluate the performance improvements made possible.