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different between parallel vs distributed file system (oceanstor 9000)

Created: Aug 23, 2018 06:45:16Latest reply: Oct 27, 2018 09:52:39 1915 5 0 0 0
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Hi,

I was trying to make difference between parallel file system (HPC scenarios) and distributed file system (before oceanstor 9000). but from looking at the architecture of oceanstor 9000, it seems like it is a mix of both. as it store strips across different nodes (parallel file system) but it has metadata and computing power on each node (distributed file system) so shall we call it a parallel distributed file system of distributed parallel file system??

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user22222222
Created Oct 27, 2018 09:52:39

you can reference description as below :
As a big data storage product, the OceanStor 9000 provides advantages such as large capacity, high performance, and

flexible scalability as well as a range of value-added features. It can be applied to various fields such as broadcasting,

media and entertainment (M&E), high-performance computing (HPC), Internet operation, data centers, and large-sized

enterprises.

Big Data is high-volume, high-velocity, and high-variety information assets that demand an effective information processing

mode for enhanced insight, decision making, and process optimization. Features of Big Data are: Volume, Velocity, and

Variety. The arrival of the Big Data era places the following requirements on storage systems:

Volume includes capacity and quantity and requires flexible storage scalability.
Velocity requests distributed processing and storage, a scale-out architecture, common hardware, and high performance with

controllable costs.
Variety requires storage to provide a variety of interfaces to address different storage requirements.
OceanStor 9000 is a Big Data storage platform that uses the general x86 architecture hardware and a scale-out NAS system.

OceanStor 9000 adopts a fully symmetric architecture and supports seamless expansion of 3 to 288 nodes. The following

functions are supported:

Huawei's self-developed distributed file system OceanStor DFS can store massive unstructured data and supports global

unified namespace.
Provides object storage service compatible with Amazon S3 APIs and OpenStack Swift APIs. Supports migration from the media

cloud to the cloud computing architecture, and access to mainstream cloud computing systems.
OceanStor 9000 object storage service provides OpenStack Swift APIs. We hope that you can develop your applications or

modify your existing applications based on the APIs. To meet the requirements on running existing Amazon S3 applications,

OceanStor 9000 also provide a compatibility solution for you. However, due to differences in functions of platforms, we

provide only some important compatibility functions.

Interconnects with FusionInsight Hadoop/Cloudera Hadoop consisting of open source Hadoop components to help users build

enterprise-class Big Data analysis platforms easily.
The OceanStor 9000 employs a networking mechanism that features full mesh and redundancy, allowing any nodes to

concurrently access any data. Multiple nodes can concurrently access different areas of the same data, achieving high-

performance data read and write. The OceanStor 9000 provides standard NFS/CIFS/FTP/HDFS/object storage service compatible

with Amazon S3 and OpenStack Swift APIs
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All Answers
hi, your understanding is correct.
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:)
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yes, you can , this is right
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you can reference description as below :
As a big data storage product, the OceanStor 9000 provides advantages such as large capacity, high performance, and

flexible scalability as well as a range of value-added features. It can be applied to various fields such as broadcasting,

media and entertainment (M&E), high-performance computing (HPC), Internet operation, data centers, and large-sized

enterprises.

Big Data is high-volume, high-velocity, and high-variety information assets that demand an effective information processing

mode for enhanced insight, decision making, and process optimization. Features of Big Data are: Volume, Velocity, and

Variety. The arrival of the Big Data era places the following requirements on storage systems:

Volume includes capacity and quantity and requires flexible storage scalability.
Velocity requests distributed processing and storage, a scale-out architecture, common hardware, and high performance with

controllable costs.
Variety requires storage to provide a variety of interfaces to address different storage requirements.
OceanStor 9000 is a Big Data storage platform that uses the general x86 architecture hardware and a scale-out NAS system.

OceanStor 9000 adopts a fully symmetric architecture and supports seamless expansion of 3 to 288 nodes. The following

functions are supported:

Huawei's self-developed distributed file system OceanStor DFS can store massive unstructured data and supports global

unified namespace.
Provides object storage service compatible with Amazon S3 APIs and OpenStack Swift APIs. Supports migration from the media

cloud to the cloud computing architecture, and access to mainstream cloud computing systems.
OceanStor 9000 object storage service provides OpenStack Swift APIs. We hope that you can develop your applications or

modify your existing applications based on the APIs. To meet the requirements on running existing Amazon S3 applications,

OceanStor 9000 also provide a compatibility solution for you. However, due to differences in functions of platforms, we

provide only some important compatibility functions.

Interconnects with FusionInsight Hadoop/Cloudera Hadoop consisting of open source Hadoop components to help users build

enterprise-class Big Data analysis platforms easily.
The OceanStor 9000 employs a networking mechanism that features full mesh and redundancy, allowing any nodes to

concurrently access any data. Multiple nodes can concurrently access different areas of the same data, achieving high-

performance data read and write. The OceanStor 9000 provides standard NFS/CIFS/FTP/HDFS/object storage service compatible

with Amazon S3 and OpenStack Swift APIs
View more
  • x
  • convention:

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