Harvesting Time-Series Data from Service-Based Systems Hosted in MANETs
Petr Novotny, Bong Jun Ko, Alexander L. Wolf

TL;DR
This paper introduces an epidemic, delay-tolerant data harvesting method for time-series monitoring in MANETs, enabling reliable, efficient, and timely data collection for network analysis despite connectivity challenges.
Contribution
It proposes a novel synchronization overlay and data transfer approach tailored for MANETs, improving data availability and reducing network overhead for time-sensitive monitoring.
Findings
Significantly better data availability compared to other methods
Reduces network overhead in MANET environments
Effective for time-critical, perishable data analysis
Abstract
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,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsService-Oriented Architecture and Web Services · Mobile Agent-Based Network Management · Context-Aware Activity Recognition Systems
