Quality-based workload scaling for real-time streaming systems

被引：2

作者：

Smirnov, Pavel A. ^{[1
]}

Nasonov, Denis ^{[1
]}

机构：

[1] ITMO Univ, St Petersburg, Russia

来源：

5TH INTERNATIONAL YOUNG SCIENTIST CONFERENCE ON COMPUTATIONAL SCIENCE, YSC 2016 | 2016年 / 101卷

关键词：

scaling model; data streaming; elastic workload; quality of service; apache storm; big data;

D O I：

10.1016/j.procs.2016.11.038

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper we propose an idea to scale workload via elastic quality of solution provided by the particular streaming applications. The contribution of this paper consists of quality-based workload scaling model, implementation details for quality assessment mechanism implemented at the top of Apache Storm and experimental evaluation of the proposed model on a synthetic and real-world (medical) examples.

引用

页码：323 / 332

页数：10

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