Analyzing the impact of power subsystem failures and checkpoint mechanisms on availability of cloud applications
| Autor: | Patricia Takako Endo, Elisson Rocha, Guto Leoni Santos |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Mean time between failures
General Computer Science business.industry Computer science Distributed computing 020206 networking & telecommunications Reliability block diagram Cloud computing 02 engineering and technology Petri net Software Power Architecture High availability Scalability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering business |
| Zdroj: | IEEE Latin America Transactions. 18:138-146 |
| ISSN: | 1548-0992 |
| Popis: | The widespread adoption of cloud computing has been driven by technological advantages, such as pay-as-you-go plan, scalability and high availability. From cloud service providers point-of-view, managing all these high customer expectations is a growing and critical challenge. This paper examines the relationship among energy infrastructure architectures, checkpoint mechanisms, and availability of software applications in a cloud data center. We consider four power architectures, three checkpoint mechanisms (cold, warm, and hot) with different sizes of files, and two applications (Video on Demand and digital library). For that, we propose a set of stochastic models (based on Petri Net and Reliability Block Diagram) and perform sensitivity and availability analysis. From results, we note that the power architecture has a great impact on application availability while the checkpoint mechanism only impacts with the application has a low mean time to failure value. |
| Databáze: | OpenAIRE |
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