Design of Management Platform Architecture and Key Algorithm for Massive Monitoring Big Data

<table class="algorithm-group"><tr><td><table class="algorithm" id="alg1"><tr><td colspan="2">Algorithm 1: Select granularity (X, start time, end time, M)</td></tr><tr><td colspan="2">Input: X time series ID, start and end time, client can display the maximum amount of data</td></tr><tr><td colspan="2">Output: &lt; size of granularity &gt;
<span class="list"><span class="list-item">(1)<span class="list-content">Calculate the size of different granularity data of X Time Series in the historical statistics table from start time to end time;</span></span><span class="list-item">(2)<span class="list-content">Sort the amount of data in step 1 in descending order;</span></span><span class="list-item">(3)<span class="list-content">Select the first granularity that is smaller than the maximum amount of data that can be displayed on the client.</span></span></span></td></tr></table></td></tr></table>

<div> Granularity selection algorithm.</div>

Wireless Communications and Mobile Computing

alg1

Algorithm 1

Algorithm 1: Design of Management Platform Architecture and Key Algorithm for Massive Monitoring Big Data 