Real Time Big Data Analytics Dependence on Network Monitoring Solutions using Tensor Networks and its Decomposition

Abstract

Organizations dealing with huge volumes of data must have a big data infrastructure in place that can accommodate the load of storing, analysing and transporting the data. Suboptimal network performance represents a potential point of failure. Therefore, it is essential to implement redundancy and/or a fail over strategy in order to minimize downtime. With network monitoring, we come to know the status of everything on the network without having to watch it personally and be able to take the timely action to correct problems. But to the extent that companies increase their reliance on real-time streams of marketing and performance big data, the network will become a central part of big data application performance. This is why incorporating network monitoring should be on the company's big data road map if we anticipate using live streaming and analytics of big data in business applications.

Keywords: Big Data analytics, suboptimal network performance, network monitoring, live streaming, WAN Management, Network Application Performance Management, Tensor Networks