KStreams: kernel support for efficient data streaming in proxy servers
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
Addressing data compatibility on programmable network platforms
Proceedings of the 2005 ACM symposium on Architecture for networking and communications systems
Publish-Subscribe for High-Performance Computing
IEEE Internet Computing
Event-based systems: opportunities and challenges at exascale
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Cooperative processes for scientific workflows
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
| Hi-index | 0.00 |
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 componentsý communications, because such ýformat evolutioný 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.