DSPBench: A Suite of Benchmark Applications for Distributed Data Stream Processing Systems
暂无分享,去创建一个
Gabriele Mencagli | Dalvan Griebler | Luiz Gustavo L. Fernandes | Maycon Viana Bordin | Cláudio F. R. Geyer | C. Geyer | Dalvan Griebler | L. G. Fernandes | G. Mencagli
[1] Georgios Paliouras,et al. An evaluation of Naive Bayesian anti-spam filtering , 2000, ArXiv.
[2] Gang Wu,et al. Stream Bench: Towards Benchmarking Modern Distributed Stream Computing Frameworks , 2014, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing.
[3] Rajeev Motwani,et al. Chain: operator scheduling for memory minimization in data stream systems , 2003, SIGMOD '03.
[4] Choonhwa Lee,et al. Benchmarking Tool for Modern Distributed Stream Processing Engines , 2019, 2019 International Conference on Information Networking (ICOIN).
[5] Christoph Matthies,et al. Senska - Towards an Enterprise Streaming Benchmark , 2017, TPCTC.
[6] Rong Yan,et al. Adaptive Multimedia Mining on Distributed Stream Processing Systems , 2010, 2010 IEEE International Conference on Data Mining Workshops.
[7] Deepak S. Turaga,et al. Processing 6 billion CDRs/day: from research to production (experience report) , 2012, DEBS.
[8] 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).
[9] Matthias Weidlich,et al. Scalable stateful stream processing for smart grids , 2014, DEBS '14.
[10] Anna Fensel,et al. On the application of Big Data in future large-scale intelligent Smart City installations , 2014, Int. J. Pervasive Comput. Commun..
[11] Saverio Niccolini,et al. Scaling Out the Performance of Service Monitoring Applications with BlockMon , 2013, PAM.
[12] Daniel Mills,et al. MillWheel: Fault-Tolerant Stream Processing at Internet Scale , 2013, Proc. VLDB Endow..
[13] Otto Carlos Muniz Bandeira Duarte,et al. A Performance Comparison of Open-Source Stream Processing Platforms , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).
[14] Hamid Nasiri,et al. Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities , 2019, Journal of Big Data.
[15] Andrew A. Chien,et al. Exascale workload characterization and architecture implications , 2013, 2013 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).
[16] Philip S. Yu,et al. Scale-Up Strategies for Processing High-Rate Data Streams in System S , 2009, 2009 IEEE 25th International Conference on Data Engineering.
[17] Carlo Zaniolo,et al. Minimizing latency and memory in DSMS: a unified approach to quasi-optimal scheduling , 2008, SSPS '08.
[18] Giuseppe Bianchi,et al. On-demand time-decaying bloom filters for telemarketer detection , 2011, CCRV.
[19] Yangjun Wang,et al. Stream Processing Systems Benchmark: StreamBench , 2017 .
[20] Doo-Hwan Bae,et al. An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method , 2007, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007).
[21] Alain Biem,et al. IBM infosphere streams for scalable, real-time, intelligent transportation services , 2010, SIGMOD Conference.
[22] Katharina Morik,et al. Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management , 2014, EDBT.
[23] Toyotaro Suzumura,et al. A performance study on operator-based stream processing systems , 2011, 2011 IEEE International Symposium on Workload Characterization (IISWC).
[24] E. Bouillet,et al. Of Streams and Storms , 2014 .
[25] Ying Xing,et al. The Design of the Borealis Stream Processing Engine , 2005, CIDR.
[26] Hakan Ferhatosmanoglu,et al. Aggregate Profile Clustering for Telco Analytics , 2013, Proc. VLDB Endow..
[27] Alexandre M. Bayen,et al. Scaling the mobile millennium system in the cloud , 2011, SoCC.
[28] Kun-Lung Wu,et al. From a stream of relational queries to distributed stream processing , 2010, Proc. VLDB Endow..
[29] Michael L. Littman,et al. An analysis of model-based Interval Estimation for Markov Decision Processes , 2008, J. Comput. Syst. Sci..
[30] Martin Grund,et al. Big data analytics on high Velocity streams: A case study , 2013, 2013 IEEE International Conference on Big Data.
[31] Holger Pirk,et al. LightSaber: Efficient Window Aggregation on Multi-core Processors , 2020, SIGMOD Conference.
[32] Odej Kao,et al. Processing smart meter data streams in the cloud , 2011, 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies.
[33] Tilmann Rabl,et al. Grizzly: Efficient Stream Processing Through Adaptive Query Compilation , 2020, SIGMOD Conference.
[34] Fan Yang,et al. NIM: Scalable Distributed Stream Process System on Mobile Network Data , 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.
[35] Zhengping Qian,et al. TimeStream: reliable stream computation in the cloud , 2013, EuroSys '13.
[36] Nick Koudas,et al. TwitterMonitor: trend detection over the twitter stream , 2010, SIGMOD Conference.
[37] Sebastian Michel,et al. Scalable, continuous tracking of tag co-occurrences between short sets using (almost) disjoint tag partitions , 2013, DBSocial '13.
[38] Xiaohui Yu,et al. Pollux: towards scalable distributed real-time search on microblogs , 2013, EDBT '13.
[39] Scott Shenker,et al. Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters , 2012, HotCloud.
[40] Sharma Chakravarthy,et al. Stream Data Processing: A Quality of Service Perspective - Modeling, Scheduling, Load Shedding, and Complex Event Processing , 2009, Advances in Database Systems.
[41] Abhinav Srivastava,et al. Credit Card Fraud Detection Using Hidden Markov Model , 2008, IEEE Transactions on Dependable and Secure Computing.
[42] Sang Hyuk Son,et al. Prediction-Based QoS Management for Real-Time Data Streams , 2006, 2006 27th IEEE International Real-Time Systems Symposium (RTSS'06).
[43] Bugra Gedik,et al. Fundamentals of Stream Processing: Application Design, Systems, and Analytics , 2014 .
[44] Marin Litoiu,et al. Distributed, application-level monitoring for heterogeneous clouds using stream processing , 2013, Future Gener. Comput. Syst..
[45] Yogesh L. Simmhan,et al. RIoTBench: An IoT benchmark for distributed stream processing systems , 2017, Concurr. Comput. Pract. Exp..
[46] Toyotaro Suzumura,et al. Automatic optimization of stream programs via source program operator graph transformations , 2013, Distributed and Parallel Databases.
[47] Qiang Chen,et al. Aurora : a new model and architecture for data stream management ) , 2006 .
[48] Badrish Chandramouli,et al. Accurate latency estimation in a distributed event processing system , 2011, 2011 IEEE 27th International Conference on Data Engineering.
[49] Raul Castro Fernandez,et al. Integrating scale out and fault tolerance in stream processing using operator state management , 2013, SIGMOD '13.
[50] Brian Taylor,et al. Systematically retrieving research in the digital age: Case study on the topic of social networking sites and young people’s mental health , 2014, J. Inf. Sci..
[51] Dawn Xiaodong Song,et al. Design and Evaluation of a Real-Time URL Spam Filtering Service , 2011, 2011 IEEE Symposium on Security and Privacy.
[52] Shaiful Alam Chowdhury,et al. Performance Evaluation of Yahoo! S4: A First Look , 2012, 2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.
[53] Michael Stonebraker,et al. Linear Road: A Stream Data Management Benchmark , 2004, VLDB.
[54] Jie Huang,et al. The HiBench benchmark suite: Characterization of the MapReduce-based data analysis , 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).
[55] Leonardo Neumeyer,et al. S4: Distributed Stream Computing Platform , 2010, 2010 IEEE International Conference on Data Mining Workshops.
[56] William Thies,et al. StreamIt: A Language for Streaming Applications , 2002, CC.
[57] Paolo Bellavista,et al. Design and Implementation of a Scalable and QoS-aware Stream Processing Framework: The Quasit Prototype , 2012, 2012 IEEE International Conference on Green Computing and Communications.
[58] Jennifer Widom,et al. STREAM: the stanford stream data manager (demonstration description) , 2003, SIGMOD '03.
[59] Jeyhun Karimov,et al. Analyzing Efficient Stream Processing on Modern Hardware , 2019, Proc. VLDB Endow..
[60] Xiaona Li,et al. BigDataBench: a Big Data Benchmark Suite from Web Search Engines , 2013, ArXiv.
[61] Sandra Geisler,et al. Evaluation of Real-Time Traffic Applications Based on Data Stream Mining , 2014 .
[62] Alexander Schill,et al. Stream-Based Recommendation for Enterprise Social Media Streams , 2013, BIS.
[63] Roberto Baldoni,et al. Adaptive online scheduling in storm , 2013, DEBS.
[64] Toyotaro Suzumura,et al. A Performance Analysis of System S, S4, and Esper via Two Level Benchmarking , 2013, QEST.
[65] Jeyhun Karimov,et al. Benchmarking Distributed Stream Data Processing Systems , 2019, 2018 IEEE 34th International Conference on Data Engineering (ICDE).
[66] Junjie Yao,et al. TeRec: A Temporal Recommender System Over Tweet Stream , 2013, Proc. VLDB Endow..
[67] Yogesh L. Simmhan,et al. Adaptive rate stream processing for smart grid applications on clouds , 2011, ScienceCloud '11.
[68] Yuqing Zhu,et al. BigDataBench: A big data benchmark suite from internet services , 2014, 2014 IEEE 20th International Symposium on High Performance Computer Architecture (HPCA).
[69] Jennifer Widom,et al. The CQL continuous query language: semantic foundations and query execution , 2006, The VLDB Journal.
[70] Philip S. Yu,et al. SPADE: the system s declarative stream processing engine , 2008, SIGMOD Conference.
[71] Wagner Meira,et al. Watershed: A High Performance Distributed Stream Processing System , 2011, 2011 23rd International Symposium on Computer Architecture and High Performance Computing.
[72] Marco Canini,et al. Mitigating Network Side Channel Leakage for Stream Processing Systems in Trusted Execution Environments , 2018, DEBS.
[73] Badrish Chandramouli,et al. StreamRec: a real-time recommender system , 2011, SIGMOD '11.
[74] Claudio Soriente,et al. StreamCloud: An Elastic and Scalable Data Streaming System , 2012, IEEE Transactions on Parallel and Distributed Systems.