The Elastic Processing of Data Streams in Cloud Environments: A Systematic Mapping Study
Floriment Klinaku, Michael Zigldrum, Markus Frank, Steffen Becker
2019
Abstract
Ongoing efforts exist to exploit cloud elasticity for processing efficiently data streams generated by a variety of data sources. To contribute to these efforts an overview of existing research is required. To the best of our knowledge, a systematic overview of the field is missing. To fill this gap, we conduct a Systematic Literature Map (SLM). This way we offer a high-level overview of the literature on elastic data stream processing. We search four databases, evaluate 564 publications and identify 100 relevant publications. The identified publications show that the majority of work is validated research through proofs-of-concept and very few through case studies, surveys and field experiments. There are several frameworks, approaches and tools proposed, but, fewer metrics, models and processes.
DownloadPaper Citation
in Harvard Style
Klinaku F., Zigldrum M., Frank M. and Becker S. (2019). The Elastic Processing of Data Streams in Cloud Environments: A Systematic Mapping Study.In Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-365-0, pages 316-323. DOI: 10.5220/0007708503160323
in Bibtex Style
@conference{closer19,
author={Floriment Klinaku and Michael Zigldrum and Markus Frank and Steffen Becker},
title={The Elastic Processing of Data Streams in Cloud Environments: A Systematic Mapping Study},
booktitle={Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2019},
pages={316-323},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007708503160323},
isbn={978-989-758-365-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - The Elastic Processing of Data Streams in Cloud Environments: A Systematic Mapping Study
SN - 978-989-758-365-0
AU - Klinaku F.
AU - Zigldrum M.
AU - Frank M.
AU - Becker S.
PY - 2019
SP - 316
EP - 323
DO - 10.5220/0007708503160323