RDMA-Based Apache Storm for High-Performance Stream Data Processing

[1]  Robert Evans.  Apache Storm, a Hands on Tutorial , 2015, 2015 IEEE International Conference on Cloud Engineering.

[2]  Scott Shenker,et al.  Making Sense of Performance in Data Analytics Frameworks , 2015, NSDI.

[3]  Bingsheng He,et al.  Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors , 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

[4]  Rajkumar Buyya,et al.  Resource Management and Scheduling in Distributed Stream Processing Systems , 2020, ACM Comput. Surv..

[5]  Qian Liu,et al.  An Integrated Tutorial on InfiniBand, Verbs, and MPI , 2017, IEEE Communications Surveys & Tutorials.

[6]  Siwoon Son,et al.  Performance improvement of Apache Storm using InfiniBand RDMA , 2019, The Journal of Supercomputing.

[7]  Kostas Tzoumas,et al.  Introduction to Apache Flink: Stream Processing for Real Time and Beyond , 2016 .

[8]  Bingsheng He,et al.  BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures , 2019, SIGMOD Conference.

[9]  Animesh Trivedi,et al.  jVerbs: ultra-low latency for data center applications , 2013, SoCC.

[10]  Sreeram Potluri,et al.  GPUDirect Async: Exploring GPU synchronous communication techniques for InfiniBand clusters , 2018, J. Parallel Distributed Comput..

[11]  Nikolas Ioannou,et al.  On The [Ir]relevance of Network Performance for Data Processing , 2016, HotCloud.

[12]  Craig Chambers,et al.  The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing , 2015, Proc. VLDB Endow..

[13]  Reynold Xin,et al.  Apache Spark , 2016 .

[14]  Wenting Han,et al.  Improving the Performance of Distributed TensorFlow with RDMA , 2017, International Journal of Parallel Programming.

[15]  Marcos Dias de Assunção,et al.  ECSNeT++ : A simulator for distributed stream processing on edge and cloud environments , 2020, Future Gener. Comput. Syst..

[16]  Jeyhun Karimov,et al.  Analyzing Efficient Stream Processing on Modern Hardware , 2019, Proc. VLDB Endow..

[17]  Dongyang Wang,et al.  MasQ: RDMA for Virtual Private Cloud , 2020, SIGCOMM.

[18]  Michael Stonebraker,et al.  Aurora: a new model and architecture for data stream management , 2003, The VLDB Journal.

[19]  Fengyun Li,et al.  Performance-aware deployment of streaming applications in distributed stream computing systems , 2020, Int. J. Bio Inspired Comput..

[20]  Tao Fang,et al.  Improving the Performance of MongoDB with RDMA , 2019, 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

[21]  Inmaculada Medina-Bulo,et al.  A stream processing architecture for heterogeneous data sources in the Internet of Things , 2020, Comput. Stand. Interfaces.

[22]  Mengxian Chi,et al.  Runtime Adaptive Matrix Multiplication for the SW26010 Many-Core Processor , 2020, IEEE Access.