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dc.contributor.authorZhou, Dongen_US
dc.contributor.authorPande, Santosh
dc.contributor.authorSchwan, Karsten
dc.date.accessioned2005-06-17T17:41:55Z
dc.date.available2005-06-17T17:41:55Z
dc.date.issued2002en_US
dc.identifier.urihttp://hdl.handle.net/1853/6554
dc.description.abstractHeterogeneity, decoupling, and dynamics in distributed, component-based applications indicate the need for dynamic program customization and adaptation. Method Partitioning is a dynamic unit placement based technique for customizing performance-critical message-based interactions between program components, at runtime and without the need for design-time application knowledge. The technique partitions message handling functions, and offers high customizability and low-cost adaptation of such partitioning. It consists of (a) static analysis of message handling methods to produce candidate partitioning plans for the methods, (b) cost models for evaluating the cost/benefits of different partitioning plans, (c) a Remote Continuation mechanism that "connects" the distributed parts of a partitioned method at runtime, and (d) Runtime Profiling and Reconfiguration Units that monitor actual costs of candidate partitioning plans and that dynamically select "best" plans from candidates. A prototypical implementation of Method Partitioning the JECho distributed event system is applied to two distributed applications: (1) a communication-bound application running on a wireless-connected mobile platform, and (2) a compute-intensive code mapped to power- and therefore, computationally limited embedded processors. Experiments with method Partitioning demonstrate significant performance improvements for both types of applications, derived from the fine-grain, low overhead adaptation actions applied whenever necessitated by changes in program behavior or environment characteristics.en_US
dc.format.extent320585 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCC Technical Report; GIT-CC-02-54en_US
dc.subjectMobile code
dc.subjectApplication partitioning
dc.subjectDistributed adaptation
dc.subjectProgram analysis
dc.titleMethod Partitioning - Runtime Customization of Pervasive Programs without Design-time Application Knowledgeen_US
dc.typeTechnical Reporteng_US


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