Rubrik, Inc.

Gopikrishnan Aditya Suresh

Haihong Wang

Systems and methods to throttle a universal backup host are described. The system executes a job, at a backup host, to back up a file set from a source host including fetching metadata from the source host. The system identifies a first operation set from operation sets, the operation set including a first operation. The system communicates, in parallel, requests for metadata items, over a network, to the source host, receives responses, and processes the responses by utilizing threads from a thread pool. The system generates latencies, counts the number of requests, and stores the latencies and number of requests in samples. The system aggregates the samples responsive to a timeout. The system resizes the thread pool based on the aggregating. Finally, the system backs up the file set from the source host based on the metadata.

Adaptive throttling in a universal backup host

Systems and methods to throttle a universal backup host are described. The system receives responses, over a network, corresponding to one or more requests by utilizing one or more threads from a thread pool. The threads include a first thread. The requests include a first request. The receiving the responses includes receiving a first response corresponding to the first request by utilizing the first thread, the first response includes a first metadata item. The system processes the responses by generating a first latency based on the first response and incrementing a number for registering requests based on the first response. Next, the system aggregates samples. The samples include the first latency and the number of requests. Next, the system resizes the thread pool based on the aggregating and backs up the file set from the source host based on the metadata.

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Culver City, CA, United States of America

Gopikrishnan Aditya Suresh