Netapp, Inc.

Seachange International, Inc.

Joseph Weihs

Kevin Faulkner

Rui Wang

Stephen B Flaherty

Methods and systems for monitoring quality of service (QOS) data for a plurality of storage volumes from a storage operating system of a storage system are provided. A performance manager collects QOS data for a storage volume from among the plurality of storage volumes and the QOS data includes a response time in which the storage volume responds to an input/output (I/O) request; determines that the collected QOS data is noisy by comparing an average number of I/O requests processed within a time duration for the storage volume with a first threshold value; uses comparable QOS data of another storage volume for generating an expected range for future QOS data; and monitors QOS data for the storage volume for determining whether a current QOS data for the storage volume is within the expected range.

Methods and systems for filtering collected QOS data for predicting an expected range for future QOS data

A method performed by a computer system, the method including maintaining a plurality of work-based counters, each of the work-based counters being associated with a respective functional entity of a plurality of functional entities, in response to determining that a first one of the work-based counters has reached a threshold, sampling a performance data of a first functional entity associated with the first one of the work-based counters, and presenting the sampled performance data to an analysis tool separate from an operating system of the computer system.

System and method for providing performance sampling in a computing system

Described are computer-based methods and apparatuses, including computer program products, for scheduling advertising content for dynamic insertion during play of video on demand assets. A virtual linear program channel is generated that is associated with a plurality of video on demand assets, the virtual linear program channel comprising data defining a plurality of predetermined time bins and a forecast number of views of the virtual channel assets within each of the time bins. The virtual linear program channel data is transmitted to a remote scheduling server. Advertising content and linear program channel scheduling instructions are received from the remote scheduling server, the linear program channel scheduling instructions identifying the virtual linear program channel and a selected time bin for insertion of the advertising content. The linear program channel scheduling instructions are translated into scheduling criteria for dynamically inserting the advertising content during playback of any of the virtual channel assets within the selected time bin.

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Arlington, MA, United States of America

Joseph Weihs