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  • Mandal P. (2024). An Understanding Through Marketing Information and Intelligence. Data-Driven Marketing for Strategic Success. 10.4018/979-8-3693-3455-3.ch004. (101-122).

    https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3455-3.ch004

  • Patidar S, Kumar N and Jindal R. (2024). IoT Data Stream Handling, Analysis, Communication and Security Issues: A Systematic Survey. Wireless Personal Communications. 10.1007/s11277-024-11177-1.

    https://link.springer.com/10.1007/s11277-024-11177-1

  • Mandal P. (2023). Marketing Information and Marketing Intelligence. International Journal of Business Strategy and Automation. 10.4018/IJBSA.316235. 3:1. (1-12). Online publication date: 13-Jan-2023.

    https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJBSA.316235

  • Usman S, Mehmood R, Katib I and Albeshri A. (2022). Data Locality in High Performance Computing, Big Data, and Converged Systems: An Analysis of the Cutting Edge and a Future System Architecture. Electronics. 10.3390/electronics12010053. 12:1. (53).

    https://www.mdpi.com/2079-9292/12/1/53

  • Patil R, Divekar S, Dahiphale A, Attarde G and Chavan A. (2022). Recommender System: Analysing Products Using Data Stream Mining 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA). 10.1109/ICCUBEA54992.2022.10010897. 978-1-6654-8451-0. (1-4).

    https://ieeexplore.ieee.org/document/10010897/

  • Jayender P and Kundu G. (2022). IoT Analytics and ERP Interoperability in Automotive SCM. International Journal of Fuzzy System Applications. 11:3. (1-19). Online publication date: 5-Aug-2022.

    https://doi.org/10.4018/IJFSA.306282

  • Barkhordari M and Niamanesh M. (2017). Aras. International Journal of Distributed Systems and Technologies. 8:2. (47-60). Online publication date: 8-Jul-2022.

    https://doi.org/10.4018/IJDST.2017040104

  • Mandal P. (2022). Marketing Information and Marketing Intelligence. International Journal of Technology Diffusion. 13:1. (1-14). Online publication date: 23-May-2022.

    https://doi.org/10.4018/IJTD.300745

  • Jie H, Dehua W and Gupta P. (2022). Design and Implementation of Automatic Selection of the Most Efficient Itemset Algorithm Based on Spark. Scientific Programming. 2022. Online publication date: 1-Jan-2022.

    https://doi.org/10.1155/2022/3362203

  • Kaseb M, Haytamy S and badry R. (2021). Distributed query optimization strategies for cloud environment. Journal of Data, Information and Management. 10.1007/s42488-021-00057-z.

    https://link.springer.com/10.1007/s42488-021-00057-z

  • Liu J, Wang K and Chen F. (2021). TSCache. Proceedings of the VLDB Endowment. 14:13. (3253-3266). Online publication date: 1-Sep-2021.

    https://doi.org/10.14778/3484224.3484225

  • Zhao Y, Calheiros R, Gange G, Bailey J and Sinnott R. SLA-Based Profit Optimization Resource Scheduling for Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments. IEEE Transactions on Cloud Computing. 10.1109/TCC.2018.2889956. 9:3. (1236-1253).

    https://ieeexplore.ieee.org/document/8590742/

  • Pratap C. (2021). Online Marketing Research - Roles in Generating Customer Insights. Studies in Business and Economics. 10.2478/sbe-2021-0012. 16:1. (147-161). Online publication date: 1-Apr-2021.. Online publication date: 1-Apr-2021.

    https://www.sciendo.com/article/10.2478/sbe-2021-0012

  • Thonglek K, Ichikawa K, Sangkeettrakarn C and Piyatumrong A. (2021). Auto-Scaling System in Apache Spark Cluster Using Model-Based Deep Reinforcement Learning. Heuristics for Optimization and Learning. 10.1007/978-3-030-58930-1_23. (347-360).

    http://link.springer.com/10.1007/978-3-030-58930-1_23

  • Glenis A. (2020). Scalable Time Series Classification in streaming and batch environments on Apache Spark 2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA). 10.1109/IISA50023.2020.9284415. 978-1-6654-2228-4. (1-8).

    https://ieeexplore.ieee.org/document/9284415/

  • Xie Z, Ying H, Yue C, Zhang M, Chen G and Ooi B. (2020). Cool, a COhort OnLine analytical processing system 2020 IEEE 36th International Conference on Data Engineering (ICDE). 10.1109/ICDE48307.2020.00056. 978-1-7281-2903-7. (577-588).

    https://ieeexplore.ieee.org/document/9101559/

  • Tang S, He B, Yu C, Li Y and Li K. A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications. IEEE Transactions on Knowledge and Data Engineering. 10.1109/TKDE.2020.2975652. (1-1).

    https://ieeexplore.ieee.org/document/9007378/

  • Glenis A and Vouros G. (2020). Balancing Between Scalability and Accuracy in Time-Series Classification for Stream and Batch Settings. Discovery Science. 10.1007/978-3-030-61527-7_18. (265-279).

    http://link.springer.com/10.1007/978-3-030-61527-7_18

  • Arfat Y, Usman S, Mehmood R and Katib I. (2020). Big Data for Smart Infrastructure Design: Opportunities and Challenges. Smart Infrastructure and Applications. 10.1007/978-3-030-13705-2_20. (491-518).

    http://link.springer.com/10.1007/978-3-030-13705-2_20

  • Nahar S, Zhong T, Monday H, Mills M, Nneji G and Abubakar H. (2019). A Survey on Data Stream Mining Towards the Internet of Things Application 2019 4th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON). 10.1109/TIMES-iCON47539.2019.9024597. 978-1-7281-3755-1. (1-5).

    https://ieeexplore.ieee.org/document/9024597/

  • Chen W, Pi A, Wang S and Zhou X. Pufferfish. Proceedings of the ACM Symposium on Cloud Computing. (259-271).

    https://doi.org/10.1145/3357223.3362730

  • Yu C, Xia F, Qian W and Zhou A. (2019). A parallel data generator for efficiently generating "realistic" social streams. Frontiers of Computer Science: Selected Publications from Chinese Universities. 13:5. (1072-1101). Online publication date: 1-Oct-2019.

    https://doi.org/10.1007/s11704-018-8022-z

  • Mitra S, Khandelwal P, Pallickara S and Pallickara S. (2019). STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations 2019 IEEE International Conference on Cluster Computing (CLUSTER). 10.1109/CLUSTER.2019.8891029. 978-1-7281-4734-5. (1-11).

    https://ieeexplore.ieee.org/document/8891029/

  • Ma Q and Triantafillou P. DBEst. Proceedings of the 2019 International Conference on Management of Data. (1553-1570).

    https://doi.org/10.1145/3299869.3324958

  • Qiao S, Nicoara A, Sun J, Friedman M, Patel H and Ekanayake J. (2019). Hyper dimension shuffle. Proceedings of the VLDB Endowment. 12:10. (1113-1125). Online publication date: 1-Jun-2019.

    https://doi.org/10.14778/3339490.3339495

  • Sánchez J. (2019). In-Memory Analytics. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics. 10.4018/978-1-5225-7598-6.ch028. (381-389).

    http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7598-6.ch028

  • Abidi L, Azzag H, Benbernou S, Bentounsi M, Cérin C, Duong T, Garteiser P, Lebbah M, Ouziri M, Sahri S and Smadja M. (2019). A Big Data Platform for Enhancing Life Imaging Activities. Utilizing Big Data Paradigms for Business Intelligence. 10.4018/978-1-5225-4963-5.ch002. (39-71).

    http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4963-5.ch002

  • Caino-Lores S, Carretero J, Nicolae B, Yildiz O and Peterka T. Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. IEEE Access. 10.1109/ACCESS.2019.2949836. 7. (156929-156955).

    https://ieeexplore.ieee.org/document/8884083/

  • Al-Araji Z, Syed Ahmad S, Al-Salihi M, Al-Lamy H, Ahmed M, Raad W and Md Yunos N. (2019). Network Traffic Classification for Attack Detection Using Big Data Tools: A Review. Intelligent and Interactive Computing. 10.1007/978-981-13-6031-2_37. (355-363).

    http://link.springer.com/10.1007/978-981-13-6031-2_37

  • Jie H, ChangSheng L and ChengLi L. (2019). Design and Implementation of the Cross-Harmonic Recommender System Based on Spark. Advanced Hybrid Information Processing. 10.1007/978-3-030-36405-2_47. (461-474).

    http://link.springer.com/10.1007/978-3-030-36405-2_47

  • Barkhordari M and Niamanesh M. (2018). Chabok: a Map-Reduce based method to solve data warehouse problems. Journal of Big Data. 10.1186/s40537-018-0144-5. 5:1. Online publication date: 1-Dec-2018.

    https://journalofbigdata.springeropen.com/articles/10.1186/s40537-018-0144-5

  • Zhang X, Wu B, Dong L and Ye N. Application of Spark parallelization technology in architectural text classification. Journal of Computational Methods in Sciences and Engineering. 10.3233/JCM-180836. 18:4. (963-976).

    http://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/JCM-180836

  • Aziz K, Zaidouni D and Bellafkih M. Big Data Processing using Machine Learning algorithms. Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications. (1-6).

    https://doi.org/10.1145/3289402.3289525

  • Han S, Gong T, Nixon M, Rotvold E, Lam K and Ramamritham K. (2018). RT-DAP: A Real-Time Data Analytics Platform for Large-Scale Industrial Process Monitoring and Control 2018 IEEE International Conference on Industrial Internet (ICII). 10.1109/ICII.2018.00015. 978-1-5386-7771-1. (59-68).

    https://ieeexplore.ieee.org/document/8539104/

  • Triantafillou P. (2018). Towards Intelligent Distributed Data Systems for Scalable Efficient and Accurate Analytics 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS). 10.1109/ICDCS.2018.00119. 978-1-5386-6871-9. (1192-1202).

    https://ieeexplore.ieee.org/document/8416382/

  • Sellami R and Defude B. Complex Queries Optimization and Evaluation over Relational and NoSQL Data Stores in Cloud Environments. IEEE Transactions on Big Data. 10.1109/TBDATA.2017.2719054. 4:2. (217-230).

    https://ieeexplore.ieee.org/document/7956218/

  • Shang Z, Li G and Bao Z. DITA. Proceedings of the 2018 International Conference on Management of Data. (725-740).

    https://doi.org/10.1145/3183713.3183743

  • Zhang H, Cho B, Seyfe E, Ching A and Freedman M. Riffle. Proceedings of the Thirteenth EuroSys Conference. (1-15).

    https://doi.org/10.1145/3190508.3190534

  • Triantafillou P. (2018). Data-Less Big Data Analytics (Towards Intelligent Data Analytics Systems) 2018 IEEE 34th International Conference on Data Engineering (ICDE). 10.1109/ICDE.2018.00205. 978-1-5386-5520-7. (1666-1667).

    https://ieeexplore.ieee.org/document/8509426/

  • Khaneghah E, Shadnoush N and Ghobakhlou A. (2018). A mathematical model to calculate real cost/performance in software distributed shared memory on computing environments. The Journal of Supercomputing. 74:4. (1715-1764). Online publication date: 1-Apr-2018.

    https://doi.org/10.1007/s11227-017-2191-7

  • Barkhordari M and Niamanesh M. (2018). Hengam a MapReduce-Based Distributed Data Warehouse for Big Data. International Journal of Artificial Life Research. 8:1. (16-35). Online publication date: 1-Jan-2018.

    https://doi.org/10.4018/IJALR.2018010102

  • Sánchez J. (2018). In-Memory Analytics. Encyclopedia of Information Science and Technology, Fourth Edition. 10.4018/978-1-5225-2255-3.ch157. (1806-1813).

    http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2255-3.ch157

  • Deng W, Papavasileiou I, Qiao Z, Zhang W, Lam K and Han S. Advances in Automation Technologies for Lower Extremity Neurorehabilitation: A Review and Future Challenges. IEEE Reviews in Biomedical Engineering. 10.1109/RBME.2018.2830805. 11. (289-305).

    https://ieeexplore.ieee.org/document/8354783/

  • Mohammadi M, Al-Fuqaha A, Sorour S and Guizani M. Deep Learning for IoT Big Data and Streaming Analytics: A Survey. IEEE Communications Surveys & Tutorials. 10.1109/COMST.2018.2844341. 20:4. (2923-2960).

    https://ieeexplore.ieee.org/document/8373692/

  • Barkhordari M and Niamanesh M. (2017). Atrak. The Journal of Supercomputing. 73:10. (4596-4610). Online publication date: 1-Oct-2017.

    https://doi.org/10.1007/s11227-017-2037-3

  • Deaton S, Brownfield D, Kosta L, Zhu Z and Matthews S. (2017). Real-time regex matching with apache spark 2017 IEEE High-Performance Extreme Computing Conference (HPEC). 10.1109/HPEC.2017.8091063. 978-1-5386-3472-1. (1-6).

    http://ieeexplore.ieee.org/document/8091063/

  • Tian C, Munir A, Liu A, Liu Y, Li Y, Sun J, Zhang F and Zhang G. (2017). Multi-tenant multi-objective bandwidth allocation in datacenters using stacked congestion control IEEE INFOCOM 2017 - IEEE Conference on Computer Communications. 10.1109/INFOCOM.2017.8056944. 978-1-5090-5336-0. (1-9).

    http://ieeexplore.ieee.org/document/8056944/

  • Jaemin Jo , Wonjae Kim , Seunghoon Yoo , Bohyoung Kim and Seo J. (2017). SwiftTuna: Responsive and incremental visual exploration of large-scale multidimensional data 2017 IEEE Pacific Visualization Symposium (PacificVis). 10.1109/PACIFICVIS.2017.8031587. 978-1-5090-5738-2. (131-140).

    http://ieeexplore.ieee.org/document/8031587/

  • Jing W, Huo S, Miao Q and Chen X. A Model of Parallel Mosaicking for Massive Remote Sensing Images Based on Spark. IEEE Access. 10.1109/ACCESS.2017.2746098. 5. (18229-18237).

    http://ieeexplore.ieee.org/document/8025338/

  • Chen Z, Chen S and Feng X. (2016). A design of distributed storage and processing system for Internet of Vehicles 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP). 10.1109/WCSP.2016.7752671. 978-1-5090-2860-3. (1-5).

    http://ieeexplore.ieee.org/document/7752671/

  • Chen W, Wang L, Fan Y, Lin H and Wei X. (2016). Efficient resource allocation and interference management using compressive sensing in dense mobile communication systems 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP). 10.1109/WCSP.2016.7752477. 978-1-5090-2860-3. (1-6).

    http://ieeexplore.ieee.org/document/7752477/

  • Ismail A, Al-Feel H and Mokhtar H. Introducing a New Arabic Endpoint for DBpedia Internationalization Project. Proceedings of the 20th International Database Engineering & Applications Symposium. (284-289).

    https://doi.org/10.1145/2938503.2938529

  • Ivanov T, Izberovic S and Korfiatis N. (2016). The Heterogeneity Paradigm in Big Data Architectures. Managing and Processing Big Data in Cloud Computing. 10.4018/978-1-4666-9767-6.ch015. (218-245).

    http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-9767-6.ch015

  • Fan Q, Zeitouni K, Xiong N, Wu Q, Camtepe S and Tian Y. Nash Equilibrium-Based Semantic Cache in Mobile Sensor Grid Database Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 10.1109/TSMC.2016.2523949. (1-12).

    http://ieeexplore.ieee.org/document/7458906/

  • Guo K, Guo W, Chen Y, Qiu Q and Zhang Q. (2015). Community discovery by propagating local and global information based on the MapReduce model. Information Sciences: an International Journal. 323:C. (73-93). Online publication date: 1-Dec-2015.

    https://doi.org/10.1016/j.ins.2015.06.032

  • Jang K, Sherry J, Ballani H and Moncaster T. (2015). Silo. ACM SIGCOMM Computer Communication Review. 45:4. (435-448). Online publication date: 22-Sep-2015.

    https://doi.org/10.1145/2829988.2787479

  • Son J, Ryu H, Yi S and Chung Y. (2015). SSFile. Information Sciences: an International Journal. 316:C. (68-86). Online publication date: 20-Sep-2015.

    https://doi.org/10.1016/j.ins.2015.04.014

  • Ismail A, Al-Feel H and Mokhtar H. (2015). Bridging the gap for retrieving DBpedia data 2015 Forth International Conference on e-Technologies and Networks for Development (ICeND). 10.1109/ICeND.2015.7328537. 978-1-4799-8451-0. (1-5).

    http://ieeexplore.ieee.org/document/7328537/

  • Delimitrou C, Sanchez D and Kozyrakis C. Tarcil. Proceedings of the Sixth ACM Symposium on Cloud Computing. (97-110).

    https://doi.org/10.1145/2806777.2806779

  • Jang K, Sherry J, Ballani H and Moncaster T. Silo. Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication. (435-448).

    https://doi.org/10.1145/2785956.2787479

  • Sarwat M. Interactive and Scalable Exploration of Big Spatial Data -- A Data Management Perspective. Proceedings of the 2015 16th IEEE International Conference on Mobile Data Management - Volume 01. (263-270).

    https://doi.org/10.1109/MDM.2015.67

  • Moritz D, Halperin D, Howe B and Heer J. (2015). Perfopticon. Computer Graphics Forum. 34:3. (71-80). Online publication date: 1-Jun-2015.

    /doi/10.5555/2858877.2858886

  • Agca M, Baceski E and Gokcebag S. (2015). MEMCA for satellite and space data: MEMCA [Memory centric analytics] for satellite and space data 2015 7th International Conference on Recent Advances in Space Technologies (RAST). 10.1109/RAST.2015.7208352. 978-1-4673-7760-7. (261-264).

    http://ieeexplore.ieee.org/document/7208352/

  • Spicuglia S, Chen L, Birke R and Binder W. (2015). Optimizing capacity allocation for big data applications in cloud datacenters 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM). 10.1109/INM.2015.7140330. 978-1-4799-8241-7. (511-517).

    http://ieeexplore.ieee.org/document/7140330/

  • Douglas C and Curino C. (2015). Blind men and an elephant coalescing open-source, academic, and industrial perspectives on BigData 2015 IEEE 31st International Conference on Data Engineering (ICDE). 10.1109/ICDE.2015.7113417. 978-1-4799-7964-6. (1523-1526).

    http://ieeexplore.ieee.org/document/7113417/

  • Hu S, Liu W, Rabl T, Huang S, Liang Y, Xiao Z, Jacobsen H, Pei X and Wang J. (2015). DualTable: A hybrid storage model for update optimization in Hive 2015 IEEE 31st International Conference on Data Engineering (ICDE). 10.1109/ICDE.2015.7113381. 978-1-4799-7964-6. (1340-1351).

    http://ieeexplore.ieee.org/document/7113381/

  • Cheng J, Liu Q, Li Z, Fan W, Lui J and He C. (2015). VENUS: Vertex-centric streamlined graph computation on a single PC 2015 IEEE 31st International Conference on Data Engineering (ICDE). 10.1109/ICDE.2015.7113362. 978-1-4799-7964-6. (1131-1142).

    http://ieeexplore.ieee.org/document/7113362/

  • Chandramouli B, Goldstein J, Barnett M, DeLine R, Fisher D, Platt J, Terwilliger J and Wernsing J. (2014). Trill. Proceedings of the VLDB Endowment. 8:4. (401-412). Online publication date: 1-Dec-2014.

    https://doi.org/10.14778/2735496.2735503

  • Ding D, Dong F and Luo J. (2014). Multi-Q: Multiple Queries Optimization Based on MapReduce in Cloud 2014 Second International Conference on Advanced Cloud and Big Data (CBD). 10.1109/CBD.2014.20. 978-1-4799-8085-7. (100-107).

    http://ieeexplore.ieee.org/document/7176078/

  • Shahrivari S. (2014). Beyond Batch Processing: Towards Real-Time and Streaming Big Data. Computers. 10.3390/computers3040117. 3:4. (117-129).

    https://www.mdpi.com/2073-431X/3/4/117

  • Jia Z, Zhan J, Wang L, Han R, McKee S, Yang Q, Luo C and Li J. (2014). Characterizing and subsetting big data workloads 2014 IEEE International Symposium on Workload Characterization (IISWC). 10.1109/IISWC.2014.6983058. 978-1-4799-6454-3. (191-201).

    http://ieeexplore.ieee.org/document/6983058/

  • Jiang T, Zhang Q, Hou R, Chai L, Mckee S, Jia Z and Sun N. (2014). Understanding the behavior of in-memory computing workloads 2014 IEEE International Symposium on Workload Characterization (IISWC). 10.1109/IISWC.2014.6983036. 978-1-4799-6454-3. (22-30).

    http://ieeexplore.ieee.org/document/6983036/

  • Zhang S, Yang Y, Fan W and Winslett M. (2014). Design and implementation of a real-time interactive analytics system for large spatio-temporal data. Proceedings of the VLDB Endowment. 7:13. (1754-1759). Online publication date: 1-Aug-2014.

    https://doi.org/10.14778/2733004.2733079

  • Xia F, Li Y, Yu C, Ma H and Qian W. (2014). BSMA. Proceedings of the VLDB Endowment. 7:13. (1573-1576). Online publication date: 1-Aug-2014.

    https://doi.org/10.14778/2733004.2733033

  • Marchal S, Jiang X, State R and Engel T. A Big Data Architecture for Large Scale Security Monitoring. Proceedings of the 2014 IEEE International Congress on Big Data. (56-63).

    https://doi.org/10.1109/BigData.Congress.2014.18

  • Yang F, Tschetter E, Léauté X, Ray N, Merlino G and Ganguli D. Druid. Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. (157-168).

    https://doi.org/10.1145/2588555.2595631

  • Zhang S, Yang Y, Fan W, Lan L and Yuan M. OceanRT. Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. (1099-1102).

    https://doi.org/10.1145/2588555.2594513

  • Doulkeridis C and NØrvåg K. (2014). A survey of large-scale analytical query processing in MapReduce. The VLDB Journal — The International Journal on Very Large Data Bases. 23:3. (355-380). Online publication date: 1-Jun-2014.

    https://doi.org/10.1007/s00778-013-0319-9

  • Sun K, Chen Z, Ren J, Yang S and Li J. (2014). M2C: Energy efficient mobile cloud system for deep learning IEEE INFOCOM 2014 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). 10.1109/INFCOMW.2014.6849208. 978-1-4799-3088-3. (167-168).

    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6849208

  • Wang L, Zhan J, Luo C, Zhu Y, Yang Q, He Y, Gao W, Jia Z, Shi Y, Zhang S, Zheng C, Lu G, Zhan K, Li X and Qiu B. (2014). BigDataBench: A big data benchmark suite from internet services 2014 IEEE 20th International Symposium on High Performance Computer Architecture (HPCA). 10.1109/HPCA.2014.6835958. 978-1-4799-3097-5. (488-499).

    http://ieeexplore.ieee.org/document/6835958/

  • Zhu Y, Zhan J, Weng C, Nambiar R, Zhang J, Chen X and Wang L. (2014). BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework. Database Systems for Advanced Applications. 10.1007/978-3-319-05813-9_32. (483-492).

    http://link.springer.com/10.1007/978-3-319-05813-9_32

  • Lin X, Wang P and Wu B. (2013). Log analysis in cloud computing environment with Hadoop and Spark 2013 5th IEEE International Conference on Broadband Network & Multimedia Technology (IC-BNMT 2013). 10.1109/ICBNMT.2013.6823956. 978-1-4799-0095-4. (273-276).

    http://ieeexplore.ieee.org/document/6823956/

  • Stuedi P, Metzler B and Trivedi A. jVerbs. Proceedings of the 4th annual Symposium on Cloud Computing. (1-14).

    https://doi.org/10.1145/2523616.2523631

  • Abraham L, Allen J, Barykin O, Borkar V, Chopra B, Gerea C, Merl D, Metzler J, Reiss D, Subramanian S, Wiener J and Zed O. (2013). Scuba. Proceedings of the VLDB Endowment. 10.14778/2536222.2536231. 6:11. (1057-1067). Online publication date: 27-Aug-2013.

    https://dl.acm.org/doi/10.14778/2536222.2536231

  • Kalavri V, Vlassov V and Brand P. PonIC. Proceedings of the 19th international conference on Parallel Processing. (279-290).

    https://doi.org/10.1007/978-3-642-40047-6_30

  • Qin X and Zhou X. (2013). Designing a big data processing platform for algorithm trading strategy evaluation 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). 10.1109/FSKD.2013.6816342. 978-1-4673-5253-6. (1005-1009).

    http://ieeexplore.ieee.org/document/6816342/

  • Agarwal S, Mozafari B, Panda A, Milner H, Madden S and Stoica I. BlinkDB. Proceedings of the 8th ACM European Conference on Computer Systems. (29-42).

    https://doi.org/10.1145/2465351.2465355