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Evaluating data structures for runtime storage of aspect instances

Loker, Andre (2014) Evaluating data structures for runtime storage of aspect instances.

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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.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
Link to this item:http://purl.utwente.nl/essays/66345
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