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Feedback-based Scheduling for Back-end Databases in Shared Dynamic Content Server Clusters
 

Summary: Feedback-based Scheduling for Back-end Databases in Shared
Dynamic Content Server Clusters
Gokul Soundararajan, Kaloian Manassiev, Jin Chen, Ashvin Goel, Cristiana Amza
University of Toronto, Canada
{gokul,kaloianm,jinchen,ashvin,amza}@eecg.toronto.edu
Abstract
This paper introduces a self-configuring architecture
for scaling the database tier of dynamic content web
servers. We use a unified approach to load and fault
management based on dynamic data replication and
feedback-based scheduling. While replication provides
scaling and high availability, feedback scheduling dy-
namically allocates tasks to commodity databases across
workloads in response to peak loads or failure condi-
tions thus providing quality of service. By augmenting
the feedback loop with state awareness, we avoid oscil-
lations in resource allocation.
We investigate our transparent provisioning mech-
anisms in the database tier using the TPC-W e-
commerce and the on-line auction Rubis benchmarks.

  

Source: Amza, Cristiana - Department of Electrical and Computer Engineering, University of Toronto

 

Collections: Computer Technologies and Information Sciences