Mao et al., 2024 - Google Patents
ByteMQ: A Cloud-native Streaming Data Layer in ByteDanceMao et al., 2024
View PDF- Document ID
- 4950375771244792756
- Author
- Mao Y
- Yin R
- Lei L
- Ye P
- Zou S
- Tang S
- Guo Y
- Yuan Y
- Yu X
- Wan B
- Gong Y
- Gao C
- Zhang G
- Shen J
- Shi R
- Ma R
- Publication year
- Publication venue
- Proceedings of the 2024 ACM Symposium on Cloud Computing
External Links
Snippet
Real-time streaming data is generated in high volumes and consumed for statistical and analytical purposes, requiring efficient and effective management by Message Queuing Systems (MQS) that ensure high throughput and low latency. ByteDance relies extensively …
- 238000007726 management method 0 abstract description 14
Classifications
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- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30477—Query execution
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- G06F11/16—Error detection or correction of the data by redundancy in hardware
- G06F11/20—Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
- G06F11/2097—Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements maintaining the standby controller/processing unit updated
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