DCR: Double Component Ranking for Building Reliable Cloud Applications
Abstract: Since cloud
applications are usually large-scale, it is too expensive to enhance the
reliability of all components for building highly reliable cloud applications.
Therefore, we need to identify significant components which have great impact
on the system reliability. FTCloud, an existing approach, ranks the components
only considering the impact of component internal failures and ignoring error
propagation. However, error propagation is also an important factor on the
system reliability. To attack the problem, we propose an improved component
ranking framework, named DCR, to identify significant components in cloud
applications. DCR employs two individual algorithms to rank the components
twice and determines a set of the most significant components based on the two
ranking results. In addition, DCR does not require information of component
invocation frequencies. Extensive experiments are provided to evaluate DCRand
compare it with FTCloud. The experimental results show that DCR outperforms
FTCloud in almost all cases.
Keywords: Component Ranking,
Cloud Application, System Reliability, Error Propagation, Internal Failure
Author: Lixing Xue, Zhan Zhang,
Decheng Zuo
Journal Code: jptkomputergg160148
