File Restore Automation with Machine Learning
IT storage enterprise infrastructure management and support is becoming more and more complicated. Engineers have to face everyday with technical challenges to ensure the availability and performance of the data for users and virtual instances. In additio
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and Óscar Hernández-Uribe
CIATEQ, A.C. Centro de Tecnología Avanzada, Av. del Retablo 150, Col. Constituyentes-Fovissste, Querétaro 76150, Mexico [email protected], [email protected]
Abstract. IT storage enterprise infrastructure management and support is becoming more and more complicated. Engineers have to face everyday with technical challenges to ensure the availability and performance of the data for users and virtual instances. In addition, storage requirements are different for every single business unit and storage support teams have to deal with multivendor storage systems. Certain storage support group used to receive on their ticket queue numerous restore tasks from end users which wrongly deleted important files or folders. The high repetitiveness of restore tasks can be dangerous for the storage engineer because several restores involves larges files and folders with similar names (business naming convention), and the tediousness may lead the engineer to lower the focus and increase human error. An intelligent automation based on machine learning, capable to analyze text and perform repetitive large time consuming restore tasks has been developed to alleviate the workload of the storage support group. Keywords: Network Attached Storage · Distributed File System · Machine learning · Automation
1 Introduction Enterprise IT infrastructure (composed of servers, network switches, applications, etc.) support is a primary success key for any company. Supporting storage technology is one of the most important services on IT industry, data must be available for the users keeping all the time its integrity and confidentiality. Furthermore, technical complexity is added to storage support group as IT environments used to run multivendor storage array systems for different purposes as block storage, file storage, and backup depending on the business unit supported. Keeping IT storage systems healthy is committed by technical engineering experts providing the best professional service to the company. Storage engineers are involved on daily challenging key infrastructure activities (e.g. storage array capacity planning, data migration & business continuity planning for disaster recovery, administer storage fiber channel switch connectivity). In order to keep a track on daily activities, incidents, changes and problems in IT infrastructure, companies have been deploying and implementing during the last two decades a service ticket system tool. Additionally to activity tracking support, service © Springer Nature Switzerland AG 2020 M. F. Mata-Rivera et al. (Eds.): WITCOM 2020, CCIS 1280, pp. 61–72, 2020. https://doi.org/10.1007/978-3-030-62554-2_5
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S. Esquivel-García and Ó. Hernández-Uribe
ticket system gives an insight on service time and contractual Service Level Agreements (SLAs) compliance to service management executives. Certain storage support group is receiving daily, on their ticket tool queue, work order tickets to recover files and folders deleted accidentally by end users under personal and
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