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Recovery for Failures in Rolling Upgrade on Clouds

Authors: Min Fu 0001; Liming Zhu 0001; Len Bass; Anna Liu;

Recovery for Failures in Rolling Upgrade on Clouds

Abstract

When cloud consumers perform rolling upgrade operations on cloud applications, they may encounter failures due to cloud uncertainty, interfering operations and incorrect configurations. For example, unreliable cloud API calls can make the rolling upgrade operation fail in unpredictable ways due to a long time delay to respond to the API call. This paper proposes two recovery strategies for recovering from rolling upgrade failures. The strategies are Compensated Undo & Redo and Reparation. We evaluated our recovery strategies on Asgard-based rolling upgrade operation on Amazon Cloud based on two evaluation metrics: MTTR and Service Performance. The experiment results show that our strategies perform better than the recovery mechanisms provided by Asgard itself. We also conduct a comparison between the two recovery strategies based on the metrics.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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