Netapp, Inc.

Pensando Systems Inc.

Anish Kumar Gupta

Samiullah Mohammed

Johnny Kang-Wing Chan

Hung Lu

Saringni Addepally

Jamie Nguyen

Pathiban D P

Methods and systems for operating an I/O system are disclosed. Embodiments of the present technology may include a method that involves receiving data at a NIC, caching the data at the NIC, generating a meta-identifier (meta-ID) for the data, writing the data to a host via a PCIe interface, providing the meta-ID to the host, receiving a request for a service at the NIC from the host, the request including the meta-ID, accessing the cached data in the NIC using the meta-ID, and performing the service on the cached data that was accessed in the NIC using the meta-ID.

I/O method and systems that includes caching data in the network interface controller (NIC) using meta-identifier (meta-ID) for the data

A technique for load balancing uses heuristic-based algorithms with respect to input/output (I/O) latency of workloads destined to storage devices, e.g., solid state drives (SSDs), of a storage array attached to a storage system. Illustratively, 'front-end' requests received from a host result in a back-end workload as those requests are processed by a storage I/O stack of the storage system and stored on the storage array. Accordingly, the technique maintains a consistent latency for the host requests (front-end) to control latency for the back-end workload. The load balancing technique illustratively load balances fixed (back-end) workloads having similar I/O sizes and I/O patterns. Illustratively, the technique balances the workloads across a plurality of storage ports over one or more I/O paths to the SSDs. Access to the SSDs may then be distributed among the storage ports.

Load balancing technique for a storage array

A technique predicts failure of one or more storage devices of a storage array serviced by a storage system and for establishes one or more threshold conditions for replacing the storage devices. The predictive technique periodically monitors soft and hard failures of the storage devices (e.g., from Self-Monitoring, Analysis and Reporting Technology), as well as various usage counters pertaining to input/output (I/O) workloads and response times of the storage devices. A heuristic procedure may be performed that combines the monitored results to calculate the predicted failure and recommend replacement of the storage devices, using one or more thresholds based on current usage and failure patterns of the storage devices. In addition, one or more policies may be provided for replacing the storage devices in a cost-effective manner that ensures non-disruptive operation and/or replacement of the SSDs, while obviating a potential catastrophic scenario based on the usage and failure patterns of the storage devices.

Methods to identify, handle and recover from suspect SSDS in a clustered flash array

A method, non-transitory computer readable medium, and storage server device that determines with a service processor when a system processor has experienced an error, the system processor coupled to a data storage device via a system port of the data storage device. Diagnostic information is retrieved with the service processor from the data storage device via a service port of the data storage device, when the system processor is determined to have experienced an error. The diagnostic information includes error or exception information associated with one or more hardware components. The retrieved diagnostic information is output by the service processor.

Growing community of inventors

Fremont, CA, United States of America

Anish Kumar Gupta