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

页码：940 / 941

页数：2

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