Automatically scaling streams in distributed stream storage
Event loading is individually tracked for each of the segments of a stream. Event loading trends of each of the segments of the stream based on event loading changes are identified and reported. Selected segments are automatically scaled-up or scaled-down based on the event loading trends. Individua...
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| creator | Ranjan, Shivesh Kaitchuck, Tom Junqueira, Flavio |
| description | Event loading is individually tracked for each of the segments of a stream. Event loading trends of each of the segments of the stream based on event loading changes are identified and reported. Selected segments are automatically scaled-up or scaled-down based on the event loading trends. Individual segment event loading is measured by computing an exponential weighted moving average of data, measured either in events or bytes, received per fixed interval of time. Exponential functions are used to assign exponentially decreasing weights over time. Multiple different running averages are computed for different time intervals, each with a different weight that represents a decay factor. |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
| title | Automatically scaling streams in distributed stream storage |
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