Predictive Analytics for Storage Management Using Time-Series Forecasting Techniques

Storage availability and performance are key to enterprise private cloud deployments. Artificial Intelligence algorithms provides significant opportunity for addressing the storage management challenges. The idea of going beyond automation of routine storage management tasks and adding intelligence...

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Bibliographic Details
Published in2019 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) pp. 40 - 44
Main Authors Kedia, Rishika, Patidar, Vijay
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2019
Subjects
artificial intelligence
cloud
Cloud computing
cognitive
Conferences
data analytics
infrastructure
machine learning
performance management
storage
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Summary:Storage availability and performance are key to enterprise private cloud deployments. Artificial Intelligence algorithms provides significant opportunity for addressing the storage management challenges. The idea of going beyond automation of routine storage management tasks and adding intelligence to solve the challenging problems on performance management is getting more adoption in the industry. In this paper, we provide AI based solutions to two key problems in storage management - congestion detection and load balancing.
DOI:10.1109/CCEM48484.2019.00009