Andrew Loveless, Linh Thi Xuan Phan, Lisa Erickson, Ronald Dreslinski, Baris Kasikci
{"title":"串扰:利用冗余网络降低低延迟容错成本","authors":"Andrew Loveless, Linh Thi Xuan Phan, Lisa Erickson, Ronald Dreslinski, Baris Kasikci","doi":"10.1145/3609436","DOIUrl":null,"url":null,"abstract":"Real-time embedded systems perform many important functions in the modern world. A standard way to tolerate faults in these systems is with Byzantine fault-tolerant (BFT) state machine replication (SMR), in which multiple replicas execute the same software and their outputs are compared by the actuators. Unfortunately, traditional BFT SMR protocols are slow, requiring replicas to exchange sensor data back and forth over multiple rounds in order to reach agreement before each execution. The state of the art in reducing the latency of BFT SMR is eager execution, in which replicas execute on data from different sensors simultaneously on different processor cores. However, this technique results in 3–5× higher computation overheads compared to traditional BFT SMR systems, significantly limiting schedulability. We present CrossTalk, a new BFT SMR protocol that leverages the prevalence of redundant switched networks in embedded systems to reduce latency without added computation. The key idea is to use specific algorithms to move messages between redundant network planes (which many systems already possess) as the messages travel from the sensors to the replicas. As a result, CrossTalk can ensure agreement automatically in the network, avoiding the need for any communication between replicas. Our evaluation shows that CrossTalk improves schedulability by 2.13–4.24× over the state of the art. Moreover, in a NASA simulation of a real spaceflight mission, CrossTalk tolerates more faults than the state of the art while using nearly 3× less processor time.","PeriodicalId":50914,"journal":{"name":"ACM Transactions on Embedded Computing Systems","volume":"9 1","pages":"0"},"PeriodicalIF":2.8000,"publicationDate":"2023-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"<scp>CrossTalk</scp> : Making Low-Latency Fault Tolerance Cheap by Exploiting Redundant Networks\",\"authors\":\"Andrew Loveless, Linh Thi Xuan Phan, Lisa Erickson, Ronald Dreslinski, Baris Kasikci\",\"doi\":\"10.1145/3609436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Real-time embedded systems perform many important functions in the modern world. A standard way to tolerate faults in these systems is with Byzantine fault-tolerant (BFT) state machine replication (SMR), in which multiple replicas execute the same software and their outputs are compared by the actuators. Unfortunately, traditional BFT SMR protocols are slow, requiring replicas to exchange sensor data back and forth over multiple rounds in order to reach agreement before each execution. The state of the art in reducing the latency of BFT SMR is eager execution, in which replicas execute on data from different sensors simultaneously on different processor cores. However, this technique results in 3–5× higher computation overheads compared to traditional BFT SMR systems, significantly limiting schedulability. We present CrossTalk, a new BFT SMR protocol that leverages the prevalence of redundant switched networks in embedded systems to reduce latency without added computation. The key idea is to use specific algorithms to move messages between redundant network planes (which many systems already possess) as the messages travel from the sensors to the replicas. As a result, CrossTalk can ensure agreement automatically in the network, avoiding the need for any communication between replicas. Our evaluation shows that CrossTalk improves schedulability by 2.13–4.24× over the state of the art. 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CrossTalk : Making Low-Latency Fault Tolerance Cheap by Exploiting Redundant Networks
Real-time embedded systems perform many important functions in the modern world. A standard way to tolerate faults in these systems is with Byzantine fault-tolerant (BFT) state machine replication (SMR), in which multiple replicas execute the same software and their outputs are compared by the actuators. Unfortunately, traditional BFT SMR protocols are slow, requiring replicas to exchange sensor data back and forth over multiple rounds in order to reach agreement before each execution. The state of the art in reducing the latency of BFT SMR is eager execution, in which replicas execute on data from different sensors simultaneously on different processor cores. However, this technique results in 3–5× higher computation overheads compared to traditional BFT SMR systems, significantly limiting schedulability. We present CrossTalk, a new BFT SMR protocol that leverages the prevalence of redundant switched networks in embedded systems to reduce latency without added computation. The key idea is to use specific algorithms to move messages between redundant network planes (which many systems already possess) as the messages travel from the sensors to the replicas. As a result, CrossTalk can ensure agreement automatically in the network, avoiding the need for any communication between replicas. Our evaluation shows that CrossTalk improves schedulability by 2.13–4.24× over the state of the art. Moreover, in a NASA simulation of a real spaceflight mission, CrossTalk tolerates more faults than the state of the art while using nearly 3× less processor time.
期刊介绍:
The design of embedded computing systems, both the software and hardware, increasingly relies on sophisticated algorithms, analytical models, and methodologies. ACM Transactions on Embedded Computing Systems (TECS) aims to present the leading work relating to the analysis, design, behavior, and experience with embedded computing systems.