Databases and cloud efficiency

The system is designed to help achieve cost and performance efficiency for cloud-hosted databases, rightsizing resources to benefit both the cloud vendors who do not have to aggressively over-provision their cloud-hosted servers for fail-safe operations and to the clients because the data center sav...

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Bibliographic Details
Published inControl Engineering Vol. 67; no. 12; p. 8
Main Author Adam, Chris
Format Trade Publication Article
LanguageEnglish
Published Barrington CFE Media 01.12.2020
Subjects
Algorithms
Autonomous vehicles
Cloud computing
Computer centers
Coronaviruses
Cost control
COVID-19
Data centers
Data science
Efficiency
Internet of Things
Machine learning
Pandemics
Workload
Workloads
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Summary:The system is designed to help achieve cost and performance efficiency for cloud-hosted databases, rightsizing resources to benefit both the cloud vendors who do not have to aggressively over-provision their cloud-hosted servers for fail-safe operations and to the clients because the data center savings can be passed on them. A more optimal configuration handles long-running, dynamic workloads, such as sensor networks in connected farms or high-performance computing workloads from scientific applications or the COVID-19 simulations. More Insights KEYWORDS: cloud technology, COVID-19 OPTIMUSCLOUD was developed by Purdue University researchers to help with cost and performance efficiency for cloud-hosted databases.
ISSN:0010-8049
2163-4076