Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Automatic provenance capture from arbitrary applications is a challenging problem. Different approaches to tackle this problem have evolved, most notably a. system-event trace analysis, b. compile-time static instrumentation, and c. taint flow analysis using dynamic binary instrumentation. Each of these approaches offers different trade-offs in terms of the granularity of captured provenance, integration requirements, and runtime overhead. While these aspects have been discussed separately, a systematic and detailed study, quantifying and elucidating them, is still lacking. To fill this gap,  begini¾?to explore these trade-offs for representative examples of these approaches for automatic provenance capture by means of evaluation and measurement.  base our evaluation on UnixBench--a widely used benchmark suite within systems research.  believe this approach will make our results easier to compare with future studies.
['Manolis Stamatogiannakis', 'Hasanat Kazmi', 'Hashim Sharif', 'Remco Vermeulen', 'Ashish Gehani', 'Herbert Bos', 'Paul T. Groth']
I am writing a research paper on a idea Trade-Offs in Automatic Provenance Capture
[{"from": "human", "value": "I am writing a research paper on a idea Trade-Offs in Automatic Provenance Capture"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Automatic provenance capture from arbitrary applications is a challenging problem. Different approaches to tackle this problem have evolved, most notably a. system-event trace analysis, b. compile-time static instrumentation, and c. taint flow analysis using dynamic binary instrumentation. Each of these approaches offers different trade-offs in terms of the granularity of captured provenance, integration requirements, and runtime overhead. While these aspects have been discussed separately, a systematic and detailed study, quantifying and elucidating them, is still lacking. To fill this gap,  begini\u00be?to explore these trade-offs for representative examples of these approaches for automatic provenance capture by means of evaluation and measurement.  base our evaluation on UnixBench--a widely used benchmark suite within systems research.  believe this approach will make our results easier to compare with future studies."}]