Document Type

Conference Paper


Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence


Computer Sciences, Electrical and electronic engineering, Communication engineering and systems, telecommunications

Publication Details

"State Acquisition in Computer Networks", IFIP Networking, 2018, May, Zurich, Switzerland, pp 100-108.


We establish that State Acquisition should be per- formed in networks at a rate which is consistent with the rate-of-change of the element or service being observed. We demonstrate that many existing monitoring and service-level prediction tools do not acquire network state in an appropriate manner. To address this challenge: (1) we define the rate-of- change of different applications; (2) we use methods for analysis of unevenly spaced time series, specifically, time series arising from video and voice applications, to estimate the rate-of-change of these services; and finally, (3) we demonstrate how to acquire network state accurately for a number of real-world traces using Greedy Acquisition. The accuracy of State Acquisition is improved when it is performed at a rate which is consistent with its rate-of-change. An improvement in representation accuracy of one order of magnitude is achieved for voice and video streaming applications; this improvement does not incur any additional bandwidth or storage cost.


Science Foundation Ireland