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Eric Brewer 2005-03-26 08:15:34 +00:00
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doc/paper2/LLADD.tex
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@ -33,7 +33,7 @@
\begin{document}
\title{\vspace*{-36pt}\yad: A Flexible Transactional Storage System\vspace*{-36pt}}
%\author{}
\date{Paper 198}
\maketitle
@ -42,21 +42,18 @@
{\em Existing transactional systems are designed to handle specific
workloads well. Unfortunately, these implementations are generally
monolithic, and do not generalize to other applications or classes of
problems. As a result, many systems are forced to ``work around'' the
data models provided by a transactional storage layer. Manifestations
of this problem include ``impedance mismatch'' in the database world,
and the poor fit of existing transactional storage management systems
to hierarchical or semi-structured data types such as XML or
scientific data. This work proposes a novel set of abstractions for
transactional storage systems and generalizes an existing
transactional storage algorithm to provide an implementation of these
primitives. Due to the extensibility of our architecture, the
implementation is competitive with existing systems on conventional
workloads and outperforms existing systems on specialized
workloads. Finally, we discuss characteristics of this new
architecture that provide opportunities for novel classes of
optimizations and enhanced usability for application developers.}
monolithic and hide the transaction support under a SQL interface, which forces many systems to ``work around'' the relational data model.
Manifestations of this problem include the
%``impedance mismatch'' in the database world, and
the poor fit of existing transactional storage systems to persistent
objects and hierarchical or semi-structured data, such as XML or
scientific data. This work proposes a novel flexible transaction
framework intended for non-database transactional systems; for
example, \yad makes it is easy to develop high-performance transactional
data structures. It generally outperforms Berkeley DB, and its
extensibility enables optimizations that outperform Berkeley DB by 2x
and MySQL by up to 5x. We present novel optimizations for object
serialization and graph traversal that demonstrate this flexibility.}
%Although many systems provide transactionally consistent data
%management, existing implementations are generally monolithic and tied