Lukas Makor,
"Run-Time Data Analysis in Dynamic Runtimes"
, in SPLASH Doctoral Symposium at SPLASH'21, 10-2021
Original Titel:
Run-Time Data Analysis in Dynamic Runtimes
Sprache des Titels:
Englisch
Original Kurzfassung:
Databases are typically faster in processing huge amounts
of data than applications with hand-coded data access. Even
though modern dynamic runtimes optimize applications intensively,
they cannot perform certain optimizations that
are traditionally used by database systems as they lack the
required information. Thus, we propose to extend the capabilities
of dynamic runtimes to allow them to collect finegrained
information of the processed data at run time and
use it to perform database-like optimizations. By doing so,
we want to enable dynamic runtimes to significantly boost
the performance of data-processing workloads. Ideally, applications
should be as fast as databases in data-processing
workloads by detecting the data schema at run time. To show
the feasibility of our approach, we are implementing it in a
polyglot dynamic runtime.
Forschungs-