Elastic Stream Processing for the Internet of Things

被引：0

作者：

Hochreiner, Christoph ^{[1
]}

Vogler, Michael ^{[1
]}

Schulte, Stefan ^{[1
]}

Dustdar, Schahram ^{[1
]}

机构：

[1] TU Wien, Distributed Syst Grp, Vienna, Austria

来源：

PROCEEDINGS OF 2016 IEEE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD) | 2016年

基金：

欧盟地平线“2020”;

关键词：

Stream processing; Distributed data processing; Hybrid clouds;

D O I：

10.1109/CLOUD.2016.21

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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%.

引用

页码：100 / 107

页数：8

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