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Efficient On-Premises Data Storage Solution for Autonomous Driving IT

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
samantaray, Rojalin, author.
Conference Name:
Symposium on International Automotive Technology (2021-09-29 : Pune, India)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2021
Summary:
Numerous improvements of the algorithms are necessary to perfectthe control software for autonomous driving. To train and testalgorithm we need sensor data. One of the major challenges are todeal with deluge of digital content and unstructured data withgrowing importance of data protection. The recent trend inautomotive industries is to move towards a cloud-based solution asthe architecture is scalable, but organization which have alreadyinvested on a on-premises infrastructure for data storage needs toseamlessly leverage these without costly and complex migrations oruser disruptions. This paper describes end to end solution anddesign of global Flexible Data Solution which covers Dataprotection, Data Integrity and Data availability by Load balancing& failover management. Data is one of the assets for anorganization but without a robust data management it can also mostvulnerable. First approach would be to ensure data is secured,protected, available where and when it is needed. Having rightstrategy can detect problems and automatically provide insightsabout your data center, which will be beneficial in mitigating therisks in sensor data management. Using interface plugin, we candesign scalable persistent storage for centralized workloads withoperations including volume provisioning and deletion, snapshotcreation and deletion, Data footprint change, Data Archival, DataAcceptance strategy, Mixed workloads (Windows/Linux) andincrementally add computation unit. With this approach sensor datacan be stored and managed at the required performance with lowestcost to achieve desired results
Notes:
Vendor supplied data
Publisher Number:
2021-26-0042
Access Restriction:
Restricted for use by site license

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