| Publisher | University of Toronto | ||
|---|---|---|---|
| Format | 64.6KB PDF | Date added | 04 Aug 2006 |
| Topics | Quality of Service, Database Management, SLA | ||
| Downloads | 3 | ||
This paper introduces a self-configuring architecture for scaling the database tier of dynamic content web servers. The authors 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 dynamically allocates tasks to commodity databases across workloads in response to peak loads or failure conditions thus providing quality of service. By augmenting the feedback loop with state awareness, the authors avoid oscillations in resource allocation. The authors define quality of service as maintaining the average query latency for a particular workload under a predefined Service Level Agreement (SLA).
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