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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - BoboCEP
T2 - Distributed Complex Event Processing for Resilient Fault-Tolerance Support in IoT
AU - Power, Alexander
AU - Kotonya, Gerald
N1 - ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2020/8/28
Y1 - 2020/8/28
N2 - Providing effective fault-tolerance (FT) support for Internet of Things (IoT) systems is hampered by the many ad hoc ways that it is implemented. We propose BoboCEP, a Complex Event Processing (CEP) system that provides resilient FT support for IoT systems, where errors are defined as nondeterministic finite automata. BoboCEP is designed to be distributed at the network edge, which facilitates resilient event processing and load balancing due to the active replication of FT support across the edge. We evaluated BoboCEP on a vertical farming use case to demonstrate long-term FT support and load balancing, and stress tested it under scenarios with high data throughput.
AB - Providing effective fault-tolerance (FT) support for Internet of Things (IoT) systems is hampered by the many ad hoc ways that it is implemented. We propose BoboCEP, a Complex Event Processing (CEP) system that provides resilient FT support for IoT systems, where errors are defined as nondeterministic finite automata. BoboCEP is designed to be distributed at the network edge, which facilitates resilient event processing and load balancing due to the active replication of FT support across the edge. We evaluated BoboCEP on a vertical farming use case to demonstrate long-term FT support and load balancing, and stress tested it under scenarios with high data throughput.
U2 - 10.1109/BigDataService49289.2020.00024
DO - 10.1109/BigDataService49289.2020.00024
M3 - Conference contribution/Paper
SN - 9781728170237
SP - 109
EP - 112
BT - 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService)
PB - IEEE
ER -