Tolerating Transient Late-Timing Faults in Cloud-Based Real-Time Stream Processing
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Peter Garraghan | Xue Ouyang | David McKee | Ismael Solís Moreno | Stuart Perks | P. Garraghan | D. McKee | Xue Ouyang | Stuart Perks
[1] Bianca Schroeder,et al. A Large-Scale Study of Failures in High-Performance Computing Systems , 2010, IEEE Trans. Dependable Secur. Comput..
[2] Michael Stonebraker,et al. High-availability algorithms for distributed stream processing , 2005, 21st International Conference on Data Engineering (ICDE'05).
[3] Hermann Kopetz,et al. Real-time systems , 2018, CSC '73.
[4] Joseph M. Hellerstein,et al. Highly available fault-tolerant , 2004 .
[5] Antonio Pescapè,et al. Cloud monitoring: A survey , 2013, Comput. Networks.
[6] Alessandro Margara,et al. Complex event processing with T-REX , 2012, J. Syst. Softw..
[7] Carl E. Landwehr,et al. Basic concepts and taxonomy of dependable and secure computing , 2004, IEEE Transactions on Dependable and Secure Computing.
[8] Jignesh M. Patel,et al. Storm@twitter , 2014, SIGMOD Conference.
[9] Kai Wang,et al. Highly accurate data value prediction using hybrid predictors , 1997, Proceedings of 30th Annual International Symposium on Microarchitecture.
[10] Scott Shenker,et al. Discretized streams: fault-tolerant streaming computation at scale , 2013, SOSP.
[11] Frederick Reiss,et al. TelegraphCQ: continuous dataflow processing , 2003, SIGMOD '03.
[12] Michael Stonebraker,et al. Fault-tolerance in the borealis distributed stream processing system , 2008, ACM Trans. Database Syst..
[13] Alec Wolman,et al. Outatime: Using Speculation to Enable Low-Latency Continuous Interaction for Mobile Cloud Gaming , 2015, MobiSys.
[14] Eric A. Brewer,et al. Highly available, fault-tolerant, parallel dataflows , 2004, SIGMOD '04.
[15] Alejandro P. Buchmann,et al. Complex Event Processing , 2009, it Inf. Technol..
[16] Michael Stonebraker,et al. The 8 requirements of real-time stream processing , 2005, SGMD.
[17] Jie Xu,et al. Timely Long Tail Identification through Agent Based Monitoring and Analytics , 2015, 2015 IEEE 18th International Symposium on Real-Time Distributed Computing.
[18] Alec Wolman,et al. Outatime: Using Speculation to Enable Low-Latency Continuous Interaction for Mobile Cloud Gaming , 2015, MobiSys.
[19] Michael Stonebraker,et al. A Comparison of Stream-Oriented High-Availability Algorithms , 2003 .
[20] Luiz André Barroso,et al. The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines , 2009, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines.
[21] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[22] Kurt Rothermel,et al. Rollback-recovery without checkpoints in distributed event processing systems , 2013, DEBS '13.
[23] Sean T. Allen,et al. Storm Applied: Strategies for real-time event processing , 2015 .
[24] Giovanni Vigna,et al. A stateful intrusion detection system for World-Wide Web servers , 2003, 19th Annual Computer Security Applications Conference, 2003. Proceedings..
[25] Andrey Brito,et al. Minimizing Latency in Fault-Tolerant Distributed Stream Processing Systems , 2009, 2009 29th IEEE International Conference on Distributed Computing Systems.
[26] Luiz André Barroso,et al. The tail at scale , 2013, CACM.
[27] Raul Castro Fernandez,et al. Integrating scale out and fault tolerance in stream processing using operator state management , 2013, SIGMOD '13.
[28] Byron Ellis. Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data , 2014 .
[29] Eric Rotenberg,et al. A study of value speculative execution and misspeculation recovery in superscalar microprocessors , 2000 .