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2013 IEEE 33rd International Conference on Distributed Computing Systems (2005)
Columbus, Ohio, USA
June 6, 2005 to June 10, 2005
ISSN: 1063-6927
ISBN: 0-7695-2331-5
pp: 697-706
Karsten Schwan , Georgia Institute of Technology
Greg Eisenhauer , Georgia Institute of Technology
Sandip Agarwala , Georgia Institute of Technology
Most systems must evolve as their missions or roles change and/or as they adapt to new execution environments. When evolving large distributed applications, it is particularly difficult to make changes to the data formats that underlie their components? communications, because such ?format evolution? can affect all or many application components. Prior approaches to the problem of implementing changes in the communications of a deployed system have relied upon ad-hoc solutions or on protocol negotiation to avoid message format mismatches. Unfortunately, such solutions tend to increase the complexity of application code. This paper presents a novel approach to the problem of data format evolution that combines meta-data about the data being exchanged with dynamic binary code generation to create a robust data exchange system that naturally supports application evolution. The idea is to specialize the communications of application components by dynamically generating the code that can automatically transform incoming data into forms that receiving components can understand. A realistic example in the context of publish/subscribe middleware is used to illustrate how this technique can be applied to enhance interoperability between different version of distributed applications.
Karsten Schwan, Greg Eisenhauer, Sandip Agarwala, "Lightweight Morphing Support for Evolving Middleware Data Exchanges in Distributed Applications", 2013 IEEE 33rd International Conference on Distributed Computing Systems, vol. 00, no. , pp. 697-706, 2005, doi:10.1109/ICDCS.2005.45
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