Track: Performance and Scalability
Paper Title:
Consistency-preserving Caching of Dynamic Database Content
Authors:
Abstract:
With the growing use of dynamic web content generated from relational
databases, traditional caching solutions for throughput and latency
improvements are ineffective. We describe a middleware layer called
Ganesh that reduces the volume of data transmitted without
semantic interpretation of queries or results. It achieves this
reduction through the use of cryptographic hashing to detect
similarities with previous results. These benefits do not require any
compromise of the strict consistency semantics provided by the
back-end database. Further, Ganesh does not require modifications to
applications, web servers, or database servers, and works with
closed-source applications and databases. Using two benchmarks
representative of dynamic web sites, measurements of our prototype
show that it can increase end-to-end throughput by as much as twofold
for non-data intensive applications and by as much as tenfold for data
intensive ones.
