Experiences and challenges in building a data intensive system for data migration

Marco Scavuzzo, Elisabetta Di Nitto, Danilo Ardagna

Abstract

Recent analyses[2, 4, 5] report that many sectors of our economy and society are more and more guided by data-driven decision processes (e.g., health care, public administrations, etc.). As such, Data Intensive (DI) applications are becoming more and more important and critical. They must be fault-tolerant, they should scale with the amount of data, and be able to elastically leverage additional resources as and when these last ones are provided [3]. Moreover, they should be able to avoid data drops introduced in case of sudden overloads and should offer some Quality of Service (QoS) guarantees.

BibTeX

@inproceedings{Scavuzzo-al:ICSE18,
  author    = {Marco Scavuzzo and
               Elisabetta Di Nitto and
               Danilo Ardagna},
  title     = {Experiences and challenges in building a data intensive system for data migration},
  booktitle = {ICSE},
  pages     = {93},
  publisher = {{ACM}},
  year      = {2018},
}

Experiences and challenges in building a data intensive system for data migration

Abstract

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