Evaluation of Highly Reliable Cloud Computing Systems using Non-Sequential Monte Carlo Simulation

被引：0
|
作者：
Snyder, B. [1 ]
Devabhaktuni, V. [1 ]
Alam, M. [1 ]
Green, Robert [2 ]
机构：
[1] Univ Toledo, Dept Elect Engn & Comp Sci, Toledo, OH 43606 USA
[2] Bowling Green State Univ, Dept Comp Sci, Bowling Green, OH 43403 USA
来源：
2014 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD) | 2014年
关键词：
Cloud Computing; Reliability; System Design; Monte Carlo simulation;
D O I：
10.1109/CLOUD.2014.133
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The cloud computing paradigm has ushered in the need for new methods of evaluating the performance in a given cloud computing systems (CCS) in order to ensure customer and service level agreement satisfaction. This study proposes a method for evaluating the reliability of a CCS alongside the corresponding performance metrics. Specifically, and for the first time, non-sequential Monte Carlo simulation (MCS) is used to evaluate CCS reliability at a system-wide scale. Results demonstrate that the proposed method is promising and may apply to systems at a large scale.
引用
收藏
页码：940 / 941
页数：2
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