Hewlett Packard Enterprise Development LP

Marvell Asia Pte., Ltd.

Marvellworld Trade Ltd.

Ramaswami Kishore

Thomas A Phelan

David E Lee

Joel Baxter

Michael J Moretti

Salil Suri

Xiongbing Ou

Lakshminarayanan Gunaseelan

Kalyan Prabhu Gonar

Secured data access in virtual data processing is described. An example includes instructions to receive a request from an application in a compute node of a compute cluster in a virtual data processing environment to access a secured data source for a user, the virtual data processing environment including a multiple secured data sources that are accessible by compute nodes of the virtual compute cluster; fetch a credential in a current application context and forward the credential for validation; validate the credential with a credential authority; and, upon successfully validating the credential, authenticate the user at the secured data source and establish a connection with the secured data source.

Secured data access in virtual data processing

The present disclosure describes aspects for providing Quality of Service (QoS) over a virtual interface for solid-state storage. In some aspects, a storage media switch receives, from a host device, an input/output (I/O) command for data access including an identifier for a virtual interface associated with a namespace through which solid-state storage is accessible. The switch determines an amount of the data that the I/O command will access through the namespace. A determination is made whether the amount of data that the I/O command will access through the namespace exceeds a predefined threshold for data access through that namespace. In response to determining that the amount of data does not exceed the predefined threshold, the I/O command is released to the solid-state storage to enable the data access. By so doing, the switch may provide QoS for the virtually accessed solid-state storage based on an access parameter of the namespace.

Apparatus and methods for providing quality of service over a virtual interface for solid-state storage

Described herein are systems, methods, and software to enhance the allocation of cache resources to virtual nodes. In one implementation, a configuration system in large-scale processing environment is configured to identify a request to initiate a large-scale processing framework (LSPF) cluster, wherein the LSPF cluster comprises a plurality of virtual nodes, and identify host computing resources of a host computing system allocated to each virtual node of the LSPF cluster. The configuration system further allocates cache memory of a cache service to each of the virtual nodes based on the host computing resources, and initiate the LSPF cluster in the computing environment.

Enhanced cache memory allocation based on virtual node resources

Systems, methods, and software described herein facilitate an enhanced service architecture for large-scale data processing. In one implementation, a method of providing data to a large-scale data processing architecture includes identifying a data request from a container in a plurality of containers executing on a host system, wherein the plurality of containers each run an instance of a large-scale processing framework. The method further provides identifying a storage repository for the data request, and accessing data associated with the data request from the storage repository. The method also includes caching the data in a portion of a cache memory on the host system allocated to the container, wherein the cache memory comprises a plurality of portions each allocated to one of the plurality of containers.

Data caching in a large-scale processing environment

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San Francisco, CA, United States of America

Ramaswami Kishore