Goethe University Frankfurt

 

Todor_Niagaragoogle_scholar_logovisual-guidelines

Dr. Todor Ivanov

Senior Researcher

My research interests are in Big Data and distributed systems:

  • Big Data benchmarking / Performance optimizations
  • Complex distributed software systems (Hadoop, Spark etc.)
  • Storage and processing of data-intensive applications
  • Virtualization & Cloud Computing

 

 Address:

Robert-Mayer-Str. 10 (5th floor)
D-60325 Frankfurt/M.
Germany

 Contact:

Email:

todor@dbis.cs.uni-frankfurt.de

 

Publications

2020

  • [DOI] Ivanov, T., & Singhal, R.. (2020). Tutorial on Benchmarking Big Data Analytics Systems. Paper presented at the Companion of the 2020 ACM/SPEC International Conference on Performance Engineering, ICPE 2020, Edmonton, AB, Canada, April 20-24, 2020.
    [Bibtex]
    @inproceedings{IvanovS20,
      author    = {Todor Ivanov and
                   Rekha Singhal},
      editor    = {Jos{\'{e}} Nelson Amaral and
                   Anne Koziolek and
                   Catia Trubiani and
                   Alexandru Iosup},
      title     = {Tutorial on Benchmarking Big Data Analytics Systems},
      booktitle = {Companion of the 2020 {ACM/SPEC} International Conference on Performance
                   Engineering, {ICPE} 2020, Edmonton, AB, Canada, April 20-24, 2020},
      pages     = {50--53},
      publisher = {{ACM}},
      year      = {2020},
      url       = {https://doi.org/10.1145/3375555.3383121},
      doi       = {10.1145/3375555.3383121},
      timestamp = {Thu, 07 May 2020 13:31:20 +0200},
      biburl    = {https://dblp.org/rec/conf/wosp/IvanovS20.bib},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
  • [DOI] Ivanov, T., Ghazal, A., Crolotte, A., Kostamaa, P., & Ghazal, Y.. (2020). CoreBigBench: Benchmarking Big Data Core Operations. Paper presented at the Proceedings of the Workshop on Testing Database Systems.
    [Bibtex]
    @inproceedings{10.1145/3395032.3395324,
    author = {Ivanov, Todor and Ghazal, Ahmad and Crolotte, Alain and Kostamaa, Pekka and Ghazal, Yoseph},
    title = {CoreBigBench: Benchmarking Big Data Core Operations},
    year = {2020},
    isbn = {9781450380010},
    publisher = {Association for Computing Machinery},
    url = {https://doi.org/10.1145/3395032.3395324},
    doi = {10.1145/3395032.3395324},
    booktitle = {Proceedings of the Workshop on Testing Database Systems},
    articleno = {4},
    numpages = {6},
    keywords = {BigBench, benchmark operations, big data benchmarking},
    location = {Portland, Oregon},
    series = {DBTest ’20}
    }

2019

  • Ivanov, T., Eichhorn, T., Berre, A., Pariente Lobo, T., Martinez Rodriguez, I., Ruiz Saiz, R., Pernici, B., & Francalanci, C.. (2019). Building the DataBench Workflow and Architecture. .
    [Bibtex]
    @article{BenchCouncil2019DataBench,
      title={ Building the DataBench Workflow and Architecture},
      author={Ivanov, Todor and Eichhorn, Timo and Berre, Arne and Pariente Lobo, Tom\'{a}s and Martinez Rodriguez, Ivan and Ruiz Saiz, Ricardo and Pernici, Barbara and Francalanci, Chiara
    },
      booktitle={BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench19)},
      year={2019}
    }
  • Ivanov, T., & Pergolesi, M.. (2019). The impact of columnar file formats on SQL-on-hadoop engine performance: A study on ORC and Parquet. Concurrency and Computation: Practice and Experience, e5523.
    [Bibtex]
    @article{ivanov2019impact,
      title={The impact of columnar file formats on SQL-on-hadoop engine performance: A study on ORC and Parquet},
      author={Ivanov, Todor and Pergolesi, Matteo},
      journal={Concurrency and Computation: Practice and Experience},
      pages={e5523},
      year={2019},
      url={https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5523}, 
      publisher={Wiley Online Library}
    }
  • Ivanov, T.. ((2019). Classifying, evaluating and advancing big data benchmarks.). PhD Thesis.
    [Bibtex]
    @phdthesis{Ivanov2019,
      author      = {Todor Ivanov},
      title       = {Classifying, evaluating and advancing big data benchmarks},
      pages       = {354},
      url      = {http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/51157},
      year        = {2019}
    }

2018

  • [DOI] Ivanov, T., & Taafe, J.. (2018). Exploratory Analysis of Spark Structured Streaming. Paper presented at the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE 2018, Berlin, Germany, April 09-13, 2018.
    [Bibtex]
    @inproceedings{DBLP:conf/wosp/IvanovT18,
      author    = {Todor Ivanov and
                   Jason Taafe},
      title     = {Exploratory Analysis of Spark Structured Streaming},
      booktitle = {Companion of the 2018 {ACM/SPEC} International Conference on Performance
                   Engineering, {ICPE} 2018, Berlin, Germany, April 09-13, 2018},
      pages     = {141--146},
      year      = {2018},
      crossref  = {DBLP:conf/wosp/2018c},
      url       = {http://doi.acm.org/10.1145/3185768.3186360},
      doi       = {10.1145/3185768.3186360},
      timestamp = {Wed, 18 Apr 2018 13:29:26 +0200},
      biburl    = {https://dblp.org/rec/bib/conf/wosp/IvanovT18},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
  • [DOI] Ivanov, T., & Singhal, R.. (2018). ABench: Big Data Architecture Stack Benchmark. Paper presented at the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE 2018, Berlin, Germany, April 09-13, 2018.
    [Bibtex]
    @inproceedings{IvanovS18,
      author    = {Todor Ivanov and
                   Rekha Singhal},
      title     = {ABench: Big Data Architecture Stack Benchmark},
      booktitle = {Companion of the 2018 {ACM/SPEC} International Conference on Performance
                   Engineering, {ICPE} 2018, Berlin, Germany, April 09-13, 2018},
      pages     = {13--16},
      year      = {2018},
      crossref  = {DBLP:conf/wosp/2018c},
      url       = {http://doi.acm.org/10.1145/3185768.3186300},
      doi       = {10.1145/3185768.3186300},
      timestamp = {Wed, 18 Apr 2018 13:29:26 +0200},
      biburl    = {https://dblp.org/rec/bib/conf/wosp/IvanovS18},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
  • [DOI] Ivanov, T., Bedué, P., Ghazal, A., & Zicari, R. V.. (2018). Adding Velocity to BigBench. Paper presented at the Proceedings of the 7th International Workshop on Testing Database Systems, DBTest@SIGMOD 2018, Houston, TX, USA, June 15, 2018.
    [Bibtex]
    @inproceedings{IvanovBGZ18,
      author    = {Todor Ivanov and
                   Patrick Bedu{\'{e}} and
                   Ahmad Ghazal and
                   Roberto V. Zicari},
      title     = {Adding Velocity to BigBench},
      booktitle = {Proceedings of the 7th International Workshop on Testing Database
                   Systems, DBTest@SIGMOD 2018, Houston, TX, USA, June 15, 2018},
      pages     = {6:1--6:6},
      year      = {2018},
      crossref  = {DBLP:conf/sigmod/2018dbtest},
      url       = {http://doi.acm.org/10.1145/3209950.3209956},
      doi       = {10.1145/3209950.3209956},
      timestamp = {Fri, 08 Jun 2018 08:38:58 +0200},
      biburl    = {https://dblp.org/rec/bib/conf/sigmod/IvanovBGZ18},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
  • [DOI] Ivanov, T., & Zicari, R. V.. (2018). Analytics Benchmarks. In Sakr, S., & Zomaya, A. (Eds.), In Encyclopedia of Big Data Technologies (, pp. 1-10). Cham: Springer International Publishing.
    [Bibtex]
    @Inbook{Ivanov2018,
      author="Ivanov, Todor and Zicari, Roberto V.",
      editor="Sakr, Sherif and Zomaya, Albert",
      title="Analytics Benchmarks",
      bookTitle="Encyclopedia of Big Data Technologies",
      year="2018",
      publisher="Springer International Publishing",
      address="Cham",
      pages="1--10",
      isbn="978-3-319-63962-8",
      doi="10.1007/978-3-319-63962-8_113-1",
      url="https://doi.org/10.1007/978-3-319-63962-8_113-1"
    }
  • Pernici, B., Francalanci, C., Geronazzo, A., Lucia, P., Stefano, R., Leonardo, R., Berre, A. J., & Ivanov, T.. (2018). Relating Big Data Business and Technical Performance Indicators. Paper presented at the Conference of the Italian Chapter of AIS.
    [Bibtex]
    @inproceedings{pernici2018relating,
      title={Relating Big Data Business and Technical Performance Indicators},
      author={Pernici, Barbara and Francalanci, Chiara and Geronazzo, Angela and Lucia, Polidori and Stefano, Ray and Leonardo, Riva and Berre, Arne J{\o}rgen and Ivanov, Todor},
      booktitle={Conference of the Italian Chapter of AIS},
      pages={1--12},
      year={2018}
    }

2017

  • Niño, M., Zicari, R. V., Ivanov, T., Hee, K., Mushtaq, N., Rosselli, M., Sánchez-Ocaña, C., Tolle, K., Blanco, J. M., Illarramendi, A., Besier, J., & Underwood, H.. (2017). Data Projects for Social Good: Challenges and Opportunities. ICCSS 2017: International Conference on Computational Social Science, Amsterdam, The Netherlands, (May 14-15, 2017), 3(5), 3102.
    [Bibtex]
    @article{ICCSS2017,
      author    = {Mikel Niño and  Roberto V. Zicari and  Todor Ivanov and  Kim Hee and  Naveed Mushtaq and  Marten Rosselli and  Concha Sánchez-Ocaña and  Karsten Tolle and  José Miguel Blanco and  Arantza Illarramendi and  Jörg Besier and  Harry Underwood},
      country   = {Spain},
      title     = {Data Projects for Social Good: Challenges and Opportunities},
      abstract  = {One of the application fields for data analysis techniques and technologies gaining momentum is the area of social good or 'common good', covering cases related to humanitarian crises, global health care, or ecology and environmental issues, among others. The promotion of data-driven projects in this field aims at increasing the efficacy and efficiency of social initiatives, improving the way these actions help humanity in general and people in need in particular. This application field, however, poses its own barriers and challenges when developing data-driven projects, lagging behind in comparison with other scenarios. These challenges derive from aspects such as the scope and scale of the social issue to solve, cultural and political barriers, the skills of main stakeholders and the technological resources available, the motivation to be engaged in such projects, or the ethical and legal issues related to sensitive data. This paper analyzes the application of data projects in the field of social good, reviewing its current state and noteworthy initiatives, and presenting a framework covering the key aspects to analyze in such projects. The goal is to provide guidelines to understand the main challenges and opportunities for this type of data projects, as well as identifying the main differential issues compared to “classical” data projects in general. A case study is presented on the initial steps and stakeholder analysis of a data project for the inclusion of refugees in the city of Frankfurt, Germany, in order to empirically confront the framework with a real example.},
      keywords  = {data-driven projects, humanitarian operations, personal and sensitive data, social good, stakeholders analysis},
      volume    = {3},
      number    = {5},
      year      = {2017},
      pages     = {3102},
      ee        = {http://waset.org/abstracts/62394},
      url       = {http://waset.org/abstracts/62394},
      bibsource = {http://waset.org/abstracts},
      journal={ICCSS 2017: International Conference on Computational Social Science, Amsterdam, The Netherlands, (May 14-15,  2017)},
      conference = {ICCSS 2017: International Conference on Computational Social Science, Amsterdam, The Netherlands, (May 14-15,  2017)},
      issn      = {PISSN:2010-376X, EISSN:2010-3778},
      publisher = {World Academy of Science, Engineering and Technology},
      index     = {International Science Index, Humanities and Social Sciences,  4(5) 2016},
    }
  • [DOI] Ghazal, A., Ivanov, T., Kostamaa, P., Crolotte, A., Voong, R., Al-Kateb, M., Ghazal, W., & Zicari, R. V.. (2017). BigBench V2: The New and Improved BigBench. Paper presented at the 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017.
    [Bibtex]
    @inproceedings{GhazalIKCVAGZ17,
      author    = {Ahmad Ghazal and
                   Todor Ivanov and
                   Pekka Kostamaa and
                   Alain Crolotte and
                   Ryan Voong and
                   Mohammed Al{-}Kateb and
                   Waleed Ghazal and
                   Roberto V. Zicari},
      title     = {BigBench {V2:} The New and Improved BigBench},
      booktitle = {33rd {IEEE} International Conference on Data Engineering, {ICDE} 2017,
                   San Diego, CA, USA, April 19-22, 2017},
      pages     = {1225--1236},
      year      = {2017},
      crossref  = {DBLP:conf/icde/2017},
      url       = {https://doi.org/10.1109/ICDE.2017.167},
      doi       = {10.1109/ICDE.2017.167},
      timestamp = {Wed, 24 May 2017 11:31:57 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/icde/GhazalIKCVAGZ17},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Felicetti, L., Femminella, M., Ivanov, T., LiÒ, P., & Reali, G.. (2017). A big-data layered architecture for analyzing molecular communications systems in blood vessels. Paper presented at the Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2017, Washington, DC, USA, September 27-29, 2017.
    [Bibtex]
    @inproceedings{FelicettiFILR17,
      author    = {Luca Felicetti and
                   Mauro Femminella and
                   Todor Ivanov and
                   Pietro Li{\`{o}} and
                   Gianluca Reali},
      title     = {A big-data layered architecture for analyzing molecular communications
                   systems in blood vessels},
      booktitle = {Proceedings of the 4th {ACM} International Conference on Nanoscale
                   Computing and Communication, {NANOCOM} 2017, Washington, DC, USA,
                   September 27-29, 2017},
      pages     = {14:1--14:2},
      year      = {2017},
      crossref  = {DBLP:conf/nanocom/2017},
      url       = {http://doi.acm.org/10.1145/3109453.3109468},
      doi       = {10.1145/3109453.3109468},
      timestamp = {Mon, 11 Sep 2017 08:50:31 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/nanocom/FelicettiFILR17},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }

2016

  • [DOI] Ivanov, T., Izberovic, S., & Korfiatis, N.. (2016). The Heterogeneity Paradigm in Big Data Architectures. In Managing and Processing Big Data in Cloud Computing (pp. 218-245). IGI Global.
    [Bibtex]
    @incollection{2016_IGI_Ivanov,
      doi = {10.4018/978-1-4666-9767-6.ch015},
      url = {http://dx.doi.org/10.4018/978-1-4666-9767-6.ch015},
      publisher = {{IGI} Global},
      pages = {218--245},
      year = {2016},
      author = {Todor Ivanov and Sead Izberovic and Nikolaos Korfiatis},
      title = {The Heterogeneity Paradigm in Big Data Architectures},
      booktitle = {Managing and Processing Big Data in Cloud Computing}
    }
  • [DOI] Zicari, R. V., Rosselli, M., Ivanov, T., Korfiatis, N., Tolle, K., Niemann, R., & Reichenbach, C.. (2016). Big Data Optimization: Recent Developments and Challenges. In Emrouznejad, A. (Ed.), (, pp. 17-47). Cham: Springer International Publishing.
    [Bibtex]
    @Inbook{Zicari2016,
      author="Zicari, Roberto V.
      and Rosselli, Marten
      and Ivanov, Todor
      and Korfiatis, Nikolaos
      and Tolle, Karsten
      and Niemann, Raik
      and Reichenbach, Christoph",
      editor="Emrouznejad, Ali",
      chapter="Setting Up a Big Data Project: Challenges, Opportunities, Technologies and Optimization",
      title="Big Data Optimization: Recent Developments and Challenges",
      year="2016",
      publisher="Springer International Publishing",
      address="Cham",
      pages="17--47",
      isbn="978-3-319-30265-2",
      doi="10.1007/978-3-319-30265-2_2",
      url="http://dx.doi.org/10.1007/978-3-319-30265-2_2"
    }

2015

  • [DOI] Niemann, R., & Ivanov, T.. (2015). Evaluating the Energy Efficiency of Data Management Systems. Paper presented at the 4th IEEE/ACM International Workshop on Green and Sustainable Software, GREENS 2015, Florence, Italy, May 18, 2015.
    [Bibtex]
    @inproceedings{DBLP:conf/greens/NiemannI15,
      author    = {Raik Niemann and
                   Todor Ivanov},
      title     = {Evaluating the Energy Efficiency of Data Management Systems},
      booktitle = {4th {IEEE/ACM} International Workshop on Green and Sustainable Software,
                   {GREENS} 2015, Florence, Italy, May 18, 2015},
      pages     = {22--28},
      year      = {2015},
      crossref  = {DBLP:conf/greens/2015},
      url       = {http://dx.doi.org/10.1109/GREENS.2015.11},
      doi       = {10.1109/GREENS.2015.11},
      timestamp = {Fri, 15 Jan 2016 09:12:13 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/greens/NiemannI15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Ivanov, T., Niemann, R., Izberovic, S., Rosselli, M., Tolle, K., & Zicari, R. V.. (2015). Performance Evaluation of Enterprise Big Data Platforms with HiBench. Paper presented at the 2015 IEEE TrustCom/BigDataSE/ISPA, Helsinki, Finland, August 20-22, 2015, Volume 2.
    [Bibtex]
    @inproceedings{DBLP:conf/trustcom/IvanovNIRTZ15,
      author    = {Todor Ivanov and
                   Raik Niemann and
                   Sead Izberovic and
                   Marten Rosselli and
                   Karsten Tolle and
                   Roberto V. Zicari},
      title     = {Performance Evaluation of Enterprise Big Data Platforms with HiBench},
      booktitle = {2015 {IEEE} TrustCom/BigDataSE/ISPA, Helsinki, Finland, August 20-22,
                   2015, Volume 2},
      pages     = {120--127},
      year      = {2015},
      crossref  = {DBLP:conf/trustcom/2015-2},
      url       = {http://dx.doi.org/10.1109/Trustcom.2015.570},
      doi       = {10.1109/Trustcom.2015.570},
      timestamp = {Thu, 10 Dec 2015 20:18:33 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/trustcom/IvanovNIRTZ15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • Niemann, R., & Ivanov, T.. (2015). Modelling the Performance, Energy Consumption and Efficiency of Data Management Systems. Paper presented at the 45. Jahrestagung der Gesellschaft für Informatik, Informatik 2015, Informatik, Energie und Umwelt, 28. September – 2. Oktober 2015 in Cottbus, Deutschland.
    [Bibtex]
    @inproceedings{DBLP:conf/gi/NiemannI15,
      author    = {Raik Niemann and
                   Todor Ivanov},
      title     = {Modelling the Performance, Energy Consumption and Efficiency of Data
                   Management Systems},
      booktitle = {45. Jahrestagung der Gesellschaft f{\"{u}}r Informatik, Informatik
                   2015, Informatik, Energie und Umwelt, 28. September - 2. Oktober 2015
                   in Cottbus, Deutschland},
      pages     = {1183--1194},
      year      = {2015},
      crossref  = {DBLP:conf/gi/2015},
      url       = {http://subs.emis.de/LNI/Proceedings/Proceedings246/article161.html},
      timestamp = {Tue, 15 Mar 2016 10:22:59 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/gi/NiemannI15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Ivanov, T., & Beer, M.. (2015). Performance Evaluation of Spark SQL Using BigBench. Paper presented at the Big Data Benchmarking – 6th International Workshop, WBDB 2015, Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers.
    [Bibtex]
    @inproceedings{wbdbIB15,
      author    = {Todor Ivanov and
                   Max{-}Georg Beer},
      title     = {Performance Evaluation of Spark {SQL} Using BigBench},
      booktitle = {Big Data Benchmarking - 6th International Workshop, {WBDB} 2015, Toronto,
                   ON, Canada, June 16-17, 2015 and 7th International Workshop, {WBDB}
                   2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers},
      pages     = {96--116},
      year      = {2015},
      url       = {https://doi.org/10.1007/978-3-319-49748-8\_6},
      doi       = {10.1007/978-3-319-49748-8\_6},
      timestamp = {Sun, 21 May 2017 00:20:57 +0200},
      biburl    = {https://dblp.org/rec/bib/conf/wbdb/IvanovB15},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
  • Ivanov, T., & Izberovic, S.. (2015). Evaluating Hadoop Clusters with TPCx-HS (Technical Report). CoRR, abs/1509.03486.
    [Bibtex]
    @article{IvanovI15,
      author    = {Todor Ivanov and
                   Sead Izberovic},
      title     = {Evaluating Hadoop Clusters with TPCx-HS (Technical Report)},
      journal   = {CoRR},
      volume    = {abs/1509.03486},
      year      = {2015},
      url       = {http://arxiv.org/abs/1509.03486},
      archivePrefix = {arXiv},
      eprint    = {1509.03486},
      timestamp = {Mon, 13 Aug 2018 16:48:19 +0200},
      biburl    = {https://dblp.org/rec/bib/journals/corr/IvanovI15},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
  • [DOI] Ivanov, T., Rabl, T., Poess, M., Queralt, A., Poelman, J., Poggi, N., & Buell, J.. (2015). Big Data Benchmark Compendium. Paper presented at the Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things – 7th TPC Technology Conference, TPCTC 2015, Kohala Coast, HI, USA, August 31 – September 4, 2015. Revised Selected Papers.
    [Bibtex]
    @inproceedings{IvanovRPQPPB15,
      author    = {Todor Ivanov and
                   Tilmann Rabl and
                   Meikel Poess and
                   Anna Queralt and
                   John Poelman and
                   Nicol{\'{a}}s Poggi and
                   Jeffrey Buell},
      title     = {Big Data Benchmark Compendium},
      booktitle = {Performance Evaluation and Benchmarking: Traditional to Big Data to
                   Internet of Things - 7th {TPC} Technology Conference, {TPCTC} 2015,
                   Kohala Coast, HI, USA, August 31 - September 4, 2015. Revised Selected
                   Papers},
      pages     = {135--155},
      year      = {2015},
      crossref  = {DBLP:conf/tpctc/2015},
      url       = {https://doi.org/10.1007/978-3-319-31409-9\_9},
      doi       = {10.1007/978-3-319-31409-9\_9},
      timestamp = {Thu, 15 Jun 2017 21:45:24 +0200},
      biburl    = {https://dblp.org/rec/bib/conf/tpctc/IvanovRPQPPB15},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
  • Ivanov, T., & Beer, M.. (2015). Evaluating Hive and Spark SQL with BigBench (Technical Report). CoRR, abs/1512.08417.
    [Bibtex]
    @article{IvanovBeer15,
      author    = {Todor Ivanov and
                   Max{-}Georg Beer},
      title     = {Evaluating Hive and Spark {SQL} with BigBench (Technical Report)},
      journal   = {CoRR},
      volume    = {abs/1512.08417},
      year      = {2015},
      url       = {http://arxiv.org/abs/1512.08417},
      archivePrefix = {arXiv},
      eprint    = {1512.08417},
      biburl    = {https://dblp.org/rec/bib/journals/corr/IvanovB15},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }

2014

  • [DOI] Ivanov, T., Zicari, R. V., & Buchmann, A. P.. (2014). Benchmarking Virtualized Hadoop Clusters. Paper presented at the Big Data Benchmarking – 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6, 2014, Revised Selected Papers.
    [Bibtex]
    @inproceedings{DBLP:conf/wbdb/IvanovZB14,
      author    = {Todor Ivanov and
                   Roberto V. Zicari and
                   Alejandro P. Buchmann},
      title     = {Benchmarking Virtualized Hadoop Clusters},
      booktitle = {Big Data Benchmarking - 5th International Workshop, {WBDB} 2014, Potsdam,
                   Germany, August 5-6, 2014, Revised Selected Papers},
      pages     = {87--98},
      year      = {2014},
      url       = {http://dx.doi.org/10.1007/978-3-319-20233-4_9},
      doi       = {10.1007/978-3-319-20233-4_9},
      timestamp = {Mon, 15 Jun 2015 13:54:13 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/wbdb/IvanovZB14},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • Ivanov, T., Zicari, R. V., Izberovic, S., & Tolle, K.. (2014). Performance Evaluation of Virtualized Hadoop Clusters (Technical Report). CoRR, abs/1411.3811.
    [Bibtex]
    @article{IvanovZIT14,
      author    = {Todor Ivanov and
                   Roberto V. Zicari and
                   Sead Izberovic and
                   Karsten Tolle},
      title     = {Performance Evaluation of Virtualized Hadoop Clusters (Technical Report)},
      journal   = {CoRR},
      volume    = {abs/1411.3811},
      year      = {2014},
      url       = {http://arxiv.org/abs/1411.3811},
      archivePrefix = {arXiv},
      eprint    = {1411.3811},
      timestamp = {Mon, 13 Aug 2018 16:47:54 +0200},
      biburl    = {https://dblp.org/rec/bib/journals/corr/IvanovZIT14},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
  • Ivanov, T., Niemann, R., Izberovic, S., Rosselli, M., Tolle, K., & Zicari, R. V.. (2014). Benchmarking DataStax Enterprise/Cassandra with HiBench (Technical Report). CoRR, abs/1411.4044.
    [Bibtex]
    @article{IvanovNIRTZ14,
      author    = {Todor Ivanov and
                   Raik Niemann and
                   Sead Izberovic and
                   Marten Rosselli and
                   Karsten Tolle and
                   Roberto V. Zicari},
      title     = {Benchmarking DataStax Enterprise/Cassandra with HiBench (Technical Report)},
      journal   = {CoRR},
      volume    = {abs/1411.4044},
      year      = {2014},
      url       = {http://arxiv.org/abs/1411.4044},
      archivePrefix = {arXiv},
      eprint    = {1411.4044},
      timestamp = {Mon, 13 Aug 2018 16:46:40 +0200},
      biburl    = {https://dblp.org/rec/bib/journals/corr/IvanovNIRTZ14},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }

2013

  • [DOI] Graefe, G., Petrov, I., Ivanov, T., & Marinov, V.. (2013). A hybrid page layout integrating PAX and NSM. Paper presented at the 17th International Database Engineering & Applications Symposium, IDEAS ’13, Barcelona, Spain – October 09 – 11, 2013.
    [Bibtex]
    @inproceedings{DBLP:conf/ideas/GraefePIM13,
      author    = {Goetz Graefe and
                   Ilia Petrov and
                   Todor Ivanov and
                   Veselin Marinov},
      title     = {A hybrid page layout integrating {PAX} and {NSM}},
      booktitle = {17th International Database Engineering {\&} Applications Symposium,
                   {IDEAS} '13, Barcelona, Spain - October 09 - 11, 2013},
      pages     = {86--95},
      year      = {2013},
      crossref  = {DBLP:conf/ideas/2013},
      url       = {http://doi.acm.org/10.1145/2513591.2513643},
      doi       = {10.1145/2513591.2513643},
      timestamp = {Tue, 05 Nov 2013 09:56:48 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/ideas/GraefePIM13},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • Ivanov, T., Korfiatis, N., & Zicari, R. V.. (2013). On the inequality of the 3V’s of Big Data Architectural Paradigms: A case for heterogeneity (Technical Report). CoRR, abs/1311.0805.
    [Bibtex]
    @article{IvanovKZ13,
      author    = {Todor Ivanov and
                   Nikolaos Korfiatis and
                   Roberto V. Zicari},
      title     = {On the inequality of the 3V's of Big Data Architectural Paradigms:
                   {A} case for heterogeneity (Technical Report)},
      journal   = {CoRR},
      volume    = {abs/1311.0805},
      year      = {2013},
      url       = {http://arxiv.org/abs/1311.0805},
      archivePrefix = {arXiv},
      eprint    = {1311.0805},
      timestamp = {Mon, 13 Aug 2018 16:48:02 +0200},
      biburl    = {https://dblp.org/rec/bib/journals/corr/IvanovKZ13},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }

Presentations

Supervised Theses

 

Teaching

Background

Research Projects & Cooperations

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(C) Big Data Laboratory. Design By Tea Sets