Authors:
Floriment Klinaku
;
Michael Zigldrum
;
Markus Frank
and
Steffen Becker
Affiliation:
Reliable Software Systems, University of Stuttgart and Germany
Keyword(s):
Elastic, Processing, Data Streams, Cloud.
Related
Ontology
Subjects/Areas/Topics:
Cloud Computing
;
Cloud Computing Enabling Technology
;
Xaas
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.