Semi-Operational Data Reductions for Query Processing in Highly Distributed Data Environments

Abstract

Characteristics of network topology can have significant effects on network performance. This is especially true for a highly distributed data network such as a 5G platform. Distance between nodes, for example, can affect latency, and may also play a role in traffic congestion if large amounts of data must be moved in response to queries. In previous research, as participants in the International Technology Alliance 2006-2016 (sponsored by the U.S. Army Research Lab and the U.K. Ministry of Defence), the authors have demonstrated that traffic congestion in overlay networks can be reduced by engineering the network to conform to a hypercube structure. Research currently underway funded by NSF (Resilient Edge Cloud Designed Network) is directed toward implementing the hypercube and other network overlays using software defined networking to support query optimization in distributed database systems, making use of network distance information and data quantity.US-Japan binational research community Workshop on Programmable Networking, November 16-18, 2020 (US dates), onlin

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