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Harvesting Time-Series Data from Service-Based Systems Hosted in MANETs by Novotny, Petr; Ko, Bong Jun; Wolf, Alexander L. is a scholarly article available to read on EtoBox.

What is Harvesting Time-Series Data from Service-Based Systems Hosted in MANETs about?

We are concerned with reliably harvesting data collected from service-based systems hosted on a mobile ad hoc network (MANET). More specifically, we are concerned with time-bounded and time-sensitive time-series monitoring data describing the state of the network and system. The data are harvested in order to perform an analysis, usually one that requires a global view of the data taken from distributed sites. For example, network- and application-state data are typically analysed in order to make operational and maintenance decisions. MANETs are a challenging environment in which to harvest monitoring data, due to the inherently unstable and unpredictable connectivity between nodes, and the overhead of transferring data in a wireless medium. These limitations must be overcome to support time-series analysis of perishable and time-critical data. We present an epidemic, delay tolerant, and intelligent method to efficiently and effectively transfer time-series data between the mobile nodes of MANETs. The method establishes a network-wide synchronization overlay to transfer increments of the data over intermediate nodes in periodic cycles. The data are then accessible from local store

Author

Novotny, Petr; Ko, Bong Jun; Wolf, Alexander L.

Published

2018

Language

EN