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3.7 Load Balancing

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In an ideal situation, a data stream framework should be self‐adaptive and avoid load shedding. Be that as it may, this is challenging because the possibility of dedicated resources to cover peak loads 24/7 is slim, and load shedding is not realistic, most especially when the variance between the average load and the peak load is high [34]. Consequently, a distributing environment that can stream, analyze, and aggregate partial data streams to a global center when local resources become deficient is required.

Computational Statistics in Data Science

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