Scale-out storage is increasingly popular for cloud, high-performance computing, machine learning, and certain enterprise applications. It offers the ability to grow both capacity and performance at the same time and to distribute I/O workloads across multiple machines.
But unlike traditional local or scale-up storage, scale-out storage imposes different and more intense workloads on the network. Clients often access multiple storage servers simultaneously; data typically replicates or migrates from one storage node to another; and metadata or management servers must stay in sync with each other as well as communicating with clients. Due to these demands, traditional network architectures and speeds may not work well for scale-out storage, especially when it’s based on flash. In this presentation you'll learn:
- Scale-out storage solutions and what workloads they can address
- How your network may need to evolve to support scale-out storage
- Network considerations to ensure performance for demanding workloads
- Key considerations for all flash
Presented by Fred Zhang, Intel; Saqib Jang, Chelsio; John Kim, Mellanox
But unlike traditional local or scale-up storage, scale-out storage imposes different and more intense workloads on the network. Clients often access multiple storage servers simultaneously; data typically replicates or migrates from one storage node to another; and metadata or management servers must stay in sync with each other as well as communicating with clients. Due to these demands, traditional network architectures and speeds may not work well for scale-out storage, especially when it’s based on flash. In this presentation you'll learn:
- Scale-out storage solutions and what workloads they can address
- How your network may need to evolve to support scale-out storage
- Network considerations to ensure performance for demanding workloads
- Key considerations for all flash
Presented by Fred Zhang, Intel; Saqib Jang, Chelsio; John Kim, Mellanox
- Category
- Network Cards
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