| Publisher | Brown University | ||
|---|---|---|---|
| Format | 508.0KB PDF | Date added | 22 Jan 2007 |
| Topics | High Availability, Back-up | ||
| Downloads | 3 | ||
This paper presents a collaborative, self-configuring High Availability (HA) approach for stream processing that enables low-latency failure recovery while incurring small run-time overhead. The approach relies on a novel fine-grained check-pointing model that allows query fragments at each server to be backed up at multiple other servers and recovered collectively (in parallel) when there is a failure. This paper addresses the problem of determining the appropriate query fragments at each server. Then it discusses, for each fragment, which server to use as its backup as well as the proper checkpoint schedule. The paper also introduces and analyze operator-specific delta-checkpointing techniques to reduce the overall HA cost. Finally, it quantifies the benefits of this approach using results from this prototype implementation and a detailed simulator.
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