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- W76346502 abstract "In aspect-oriented execution-environments, aspect instances represent the state that is shared between multiple invocations of advice. Instantiation policies are responsible for retrieving the correct aspect instance for a specific execution of advice. Because this retrieval potentially happens many times during the execution of a program, it should be fast. The choice of data structures used to store aspect instances at runtime affects the execution speed of aspect-instance look-up and the memory footprint of the application. In this thesis, we evaluate different data structures for use as storage for aspect instances with respect to look-up speed and memory usage. Based on a benchmark, we suggest a two-level approach to implement aspect-instance storage: on a baseline level, data structures such as arrays, hash tables and prefix trees provide a widely applicable, but still fast solution, while on a second level, highly specialised data structures and access algorithms allow for even faster retrieval in certain special cases." @default.
- W76346502 created "2016-06-24" @default.
- W76346502 creator A5060529236 @default.
- W76346502 date "2014-01-01" @default.
- W76346502 modified "2023-09-27" @default.
- W76346502 title "Evaluating data structures for runtime storage of aspect instances" @default.
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