핵심 개념
The study evaluates different checkpointing protocols for stream processing, highlighting their impact on performance metrics.
초록
The content discusses the evaluation of three checkpointing protocols - Coordinated, Uncoordinated, and Communication-induced - in the context of streaming dataflows. It covers the rationale behind each protocol, their strengths and weaknesses, experimental setup, metrics used for evaluation (such as throughput, latency, checkpointing time), and results from testing with NexMark queries and a cyclic query.
Structure:
Introduction to Stream Processing and Checkpointing Protocols
Overview of Coordinated Checkpointing Protocol
Overview of Uncoordinated Checkpointing Protocol
Overview of Communication-induced Checkpointing Protocol
Testbed System Setup and Metrics for Evaluation
Experimental Results with NexMark Queries and Cyclic Query
통계
Virtually all stream processors guarantee exactly-once processing using Apache Flink's coordinated checkpoints.
The uncoordinated approach is competitive with the coordinated one under uniformly distributed workloads.
Communication-induced protocols introduce significant overhead due to additional information exchanged.
Coordinated protocol incurs higher average checkpointing time compared to uncoordinated and communication-induced protocols.
인용구
"Rather than blindly employing coordinated checkpointing, research should focus on optimizing the very promising uncoordinated approach."
"The communication-induced approach is not competitive in any scenario due to its large message overhead."