Difference between revisions of "Data Analysis Service"
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{{Service | {{Service | ||
| ID = DAS | | ID = DAS | ||
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| Description = The PARADOX Hadoop cluster consists of a single name node that runs the YARN resource manager, and three additional data nodes. The name node is hosted on a machine with 4-core Intel Xeon E3-1220v3 CPU running at 3.1 GHz, with 4 GB of RAM, and 500 GB of local hard disk storage. Each of the data nodes, which perform the computation and storage, are hosted on machines with 24-core Intel Xeon E5-2620 CPUs at 2.4 GHz, with 64 GB of RAM and 2 TB of storage. In total, the cluster provides access to 60 CPU cores, 180 GB of RAM and 5.3 TB of storage in HDFS. | | Description = The PARADOX Hadoop cluster consists of a single name node that runs the YARN resource manager, and three additional data nodes. The name node is hosted on a machine with 4-core Intel Xeon E3-1220v3 CPU running at 3.1 GHz, with 4 GB of RAM, and 500 GB of local hard disk storage. Each of the data nodes, which perform the computation and storage, are hosted on machines with 24-core Intel Xeon E5-2620 CPUs at 2.4 GHz, with 64 GB of RAM and 2 TB of storage. In total, the cluster provides access to 60 CPU cores, 180 GB of RAM and 5.3 TB of storage in HDFS. | ||
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In the analysis of very large datasets, the movement of data can present a far more severe bottleneck than the actual computation. Therefore, the PARADOX Hadoop cluster is designed to overlap computation and data storage operations, i.e., to enable performing of computation on the same machine(s) that store the corresponding data. | In the analysis of very large datasets, the movement of data can present a far more severe bottleneck than the actual computation. Therefore, the PARADOX Hadoop cluster is designed to overlap computation and data storage operations, i.e., to enable performing of computation on the same machine(s) that store the corresponding data. | ||
| − | | Tagline = | + | | Tagline = |
| − | | Logo = | + | | Logo = https://wiki.ni4os.eu/images/1/10/DAS.png |
| Multimedia = | | Multimedia = | ||
| Use_Cases = | | Use_Cases = | ||
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| Geographical_Availability = | | Geographical_Availability = | ||
| Language_Availability = | | Language_Availability = | ||
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| First_Name = | | First_Name = | ||
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| Funding_Program = | | Funding_Program = | ||
| Grant_Name = | | Grant_Name = | ||
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| Order = | | Order = | ||
| Payment_Model = | | Payment_Model = | ||
| Pricing = | | Pricing = | ||
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Latest revision as of 23:48, 9 November 2020
Basic InformationID: DAS Name: Data Analysis Service Resource Organisation: Institute of Physics Belgrade Resource Providers: Institute of Physics Belgrade Webpage: missing Marketing InformationDescription: The PARADOX Hadoop cluster consists of a single name node that runs the YARN resource manager, and three additional data nodes. The name node is hosted on a machine with 4-core Intel Xeon E3-1220v3 CPU running at 3.1 GHz, with 4 GB of RAM, and 500 GB of local hard disk storage. Each of the data nodes, which perform the computation and storage, are hosted on machines with 24-core Intel Xeon E5-2620 CPUs at 2.4 GHz, with 64 GB of RAM and 2 TB of storage. In total, the cluster provides access to 60 CPU cores, 180 GB of RAM and 5.3 TB of storage in HDFS. In the analysis of very large datasets, the movement of data can present a far more severe bottleneck than the actual computation. Therefore, the PARADOX Hadoop cluster is designed to overlap computation and data storage operations, i.e., to enable performing of computation on the same machine(s) that store the corresponding data. Tagline: missing Logo: https://wiki.ni4os.eu/images/1/10/DAS.png Multimedia: missing Classification InformationScientific Domain[1]: missing Scientific Subdomain[1]: missing Category[2]: missing Subcategory[2]: missing Target Users[3]: missing Access Type[4]: missing Access Mode[5]: missing Tags: missing Management Information
Geographical and Language Availability Information
Resource Location Information
Contact Information
Maturity Information
Dependencies Information
Attribution Information
Access and Order Information
Financial Information |
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