CloudStore - towards scalability benchmarking in Cloud computing

被引:6
作者
Sanders, Richard [1 ]
Brataas, Gunnar [1 ]
Cecowski, Mariano [2 ]
Haslum, Kjetil [1 ]
Ivansek, Simon [2 ]
Polutnik, Jure [2 ]
Viken, Brynjar [1 ]
机构
[1] SINTEF, Strindvegen 4, N-7043 Trondheim, Norway
[2] XLAB, Ljubljana 1000, Slovenia
来源
1ST INTERNATIONAL CONFERENCE ON CLOUD FORWARD: FROM DISTRIBUTED TO COMPLETE COMPUTING | 2015年 / 68卷
关键词
Cloud computing; Measurements; Scalability; Performance; Capacity; Elasticity; Efficiency; Amazon Web Services; AMS; TCP-W;
D O I
10.1016/j.procs.2015.09.225
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper describes CloudStore, an open source application that lends itself to analyzing key characteristics of Cloud computing platforms. Based on an earlier standard from transaction processing, it represents a simplified version of a typical e-commerce application - an electronic book store. We detail how a deployment on a popular public cloud offering can be instrumented to gain insight into system characteristics such as capacity, scalability, elasticity and efficiency. (C) 2015 Published by Elsevier B.V.
引用
收藏
页码:78 / 88
页数:11
相关论文
共 10 条
[1]  
Amazon, AM WEB SERV
[2]  
[Anonymous], 2000, Measuring Computer Performance
[3]  
Artist, ART PUBL
[4]  
Becker Matthias, 2015, INT C PERF ENG
[5]  
CloudScale, DISTR JMETER
[6]  
CloudScale, CLOUDSTORE
[7]  
CloudScale, CLOUDSCALE PROJ
[8]  
Erl T., 2013, Cloud computing: concepts, technology architecture
[9]  
The Apache Software Foundation, 2014, AP JMETER
[10]  
Transactional Processing Performance Council, TPC W BENCHM