Elastic stream processing for the internet of things

Publikationstyp
Conference Paper
Date Issued
2017-06
Sprache
English
Author(s)
Hochreiner, Christoph  
Vögler, Michael  
Schulte, Stefan  
Dustdar, Schahram  
TORE-URI
http://hdl.handle.net/11420/11880
Start Page
100
End Page
107
Article Number
7820260
Citation
9th International Conference on Cloud Computing (CLOUD 2016)
Contribution to Conference
9th International Conference on Cloud Computing, CLOUD 2016  
Scopus ID
2-s2.0-85014247683
Emerging trends like Big Data and the Internet of Things pose new challenges to established data stream processing engines. Especially, with the advent of the Internet of Things, the data that has to be processed can become very large. Since companies usually aim for cost efficiency, engines need to support resource elasticity to minimize the operational cost while maintaining real-time processing capabilities. In the work at hand, we propose and realize the distributed Platform for Elastic Stream Processing (PESP). An extensive evaluation demonstrates the practical feasibility and efficiency of the system design. The evaluation shows that PESP is able to reduce cost by 20% with minimal effects on the Quality of Service in comparison to an over-provisioning baseline. Compared to an under-provisioning baseline, PESP allows a Quality of Service improvement of 72%.
Subjects
Distributed data processing
Hybrid clouds
Stream processing