Efficient Late Binding of Dynamic Function Compositions
| Autor: | Jeronimo Castrillon, Lars Schütze |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
050101 languages & linguistics
Speedup Computer science Semantics (computer science) business.industry Distributed computing 05 social sciences 02 engineering and technology computer.software_genre Role-Oriented Programming Dispatch Optimization Virtual Machine Software Virtual machine 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Overhead (computing) 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Late binding ddc:004 business Role-oriented programming Rollenorientierte Programmierung Dispatch-Optimierung Virtuelle Maschine computer |
| Zdroj: | SLE |
| Popis: | Adaptive software becomes more and more important as computing is increasingly context-dependent. Runtime adaptability can be achieved by dynamically selecting and applying context-specific code. Role-oriented programming has been proposed as a paradigm to enable runtime adaptive software by design. Roles change the objects’ behavior at runtime and thus allow adapting the software to a given context. However, this increased variability and expressiveness has a direct impact on performance and memory consumption. We found a high overhead in the steady-state performance of executing compositions of adaptations. This paper presents a new approach to use run-time information to construct a dispatch plan that can be executed efficiently by the JVM. The concept of late binding is extended to dynamic function compositions. We evaluated the implementation with a benchmark for role-oriented programming languages leveraging context-dependent role semantics achieving a mean speedup of 2.79× over the regular implementation. |
| Databáze: | OpenAIRE |
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