BlobShuffle reduces shuffling costs by over 40x in Kafka Streams by using object storage for batching with notifications, achieving sub-2s 95th-percentile latency and scaling beyond 2 GiB/s.
InProceedings of the Thirteenth EuroSys Conference (Porto, Portugal) (EuroSys ’18)
3 Pith papers cite this work, alongside 47 external citations. Polarity classification is still indexing.
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BlobShuffle: Cost-Effective Repartitioning in Stream Processing Systems via Object Storage Exemplified with Kafka Streams
BlobShuffle reduces shuffling costs by over 40x in Kafka Streams by using object storage for batching with notifications, achieving sub-2s 95th-percentile latency and scaling beyond 2 GiB/s.
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TRM-Raft: A Byzantine-Resistant Raft Consensus via Integrated Trust and Reputation Model
Integrating a blockchain-based trust/reputation model with Schnorr signatures into Raft keeps malicious leaders below 5% with under 10% throughput loss at 40% Byzantine nodes.
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