Analysis of Hypoexponential Computing Services for Big Data Processing

被引：0
|
作者：
Zapechnikov, Sergey [1 ]
Miloslavskaya, Natalia [1 ]
Tolstoy, Alexander [1 ]
机构：
[1] Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Moscow, Russia
来源：
2015 3RD INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD (FICLOUD) AND INTERNATIONAL CONFERENCE ON OPEN AND BIG (OBD) | 2015年
关键词：
big data processing; hypoexponential computing services; analytical models; performance and availability of queueing systems; discrete-event simulation;
D O I：
10.1109/FiCloud.2015.57
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents two analytical models to study the performance and availability of queueing systems with the hypoexponential service time and finite queue. The analytical results obtained are verified using discrete-event simulation. A few numerical examples for varying number of service stages, service rates and arrival rates are given. The results presented in the paper can be used for analysis of MapReduce and multi-stage big data processing.
引用
收藏
页码：579 / 584
页数：6
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