Abstract
The pivotal objective is to compute the capacity and reliability at the edge server nodes with considering the contingency time in failure in using wireless resources. The proposed data driven approach contextually discriminates reliable and unreliable sensor data at the edge server via numerical metrics. The reliability metrics provides an alternative in which rather than dumping the whole data in cloud it process only unreliable data with its computational service. Thus the data acquisition from sensor and processing based on edge node provides improvement in terms of reducing latency for reliable data. Further, instance of unreliability in data is processed with computational storage capacity and processing at cloud.
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