DocumentCode :
244384
Title :
Recovery for Failures in Rolling Upgrade on Clouds
Author :
Min Fu ; Liming Zhu ; Bass, Len ; Liu, An
Author_Institution :
Software Syst. Res. Group, NICTA, Sydney, NSW, Australia
fYear :
2014
fDate :
23-26 June 2014
Firstpage :
642
Lastpage :
647
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.
Keywords :
application program interfaces; cloud computing; system recovery; Amazon Cloud; Asgard; MTTR; cloud API; cloud uncertainty; recovery strategy; rolling upgrade operation; service performance; Australia; Context; Measurement; Software systems; Standards; Uncertainty; Virtual machining; cloud API; cloud consumer; recovery strategy; rolling upgrade;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable Systems and Networks (DSN), 2014 44th Annual IEEE/IFIP International Conference on
Conference_Location :
Atlanta, GA
Type :
conf
DOI :
10.1109/DSN.2014.63
Filename :
6903618
Link To Document :
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