Dr Eleni Akrida eleni.akrida@durham.ac.uk
Associate Professor
An interval temporal network is, informally speaking, a network whose links change with time. The term interval means that a link may exist for one or more time intervals, called availability intervals of the link, after which it does not exist (until, maybe, a further moment in time when it starts being available again). In this model, we consider continuous time and high-speed (instantaneous) information dissemination. An interval temporal network is connected during a period of time [x,y], if it is connected for all time instances t∈[x,y] (instantaneous connectivity). In this work, we study instantaneous connectivity issues of interval temporal networks. We provide a polynomial-time algorithm that answers if a given interval temporal network is connected during a time period. If the network is not connected throughout the given time period, then we also give a polynomial-time algorithm that returns large components of the network that remain connected and remain large during [x,y]; the algorithm also considers the components of the network that start as large at time t=x but dis-connect into small components within the time interval [x,y], and answers how long after time t=x these components stay connected and large. Finally, we examine a case of interval temporal networks on tree graphs where the lifetimes of links and, thus, the failures in the connectivity of the network are not controlled by us; however, we can “feed” the network with extra edges that may re-connect it into a tree when a failure happens, so that its connectivity is maintained during a time period. We show that we can with high probability maintain the connectivity of the network for a long time period by making these extra edges available for re-connection using a randomized approach. Our approach also saves some cost in the design of availabilities of the edges; here, the cost is the sum, over all extra edges, of the length of their availability-to-reconnect interval.
Akrida, E. C., & Spirakis, P. G. (2019). On Verifying and Maintaining Connectivity of Interval Temporal Networks. Parallel Processing Letters, 29(02), Article 1950009. https://doi.org/10.1142/s0129626419500099
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 9, 2019 |
Online Publication Date | Jul 23, 2019 |
Publication Date | 2019 |
Deposit Date | Jun 20, 2020 |
Publicly Available Date | Oct 26, 2021 |
Journal | Parallel Processing Letters |
Print ISSN | 0129-6264 |
Electronic ISSN | 1793-642X |
Publisher | World Scientific Publishing |
Peer Reviewed | Peer Reviewed |
Volume | 29 |
Issue | 02 |
Article Number | 1950009 |
DOI | https://doi.org/10.1142/s0129626419500099 |
Public URL | https://durham-repository.worktribe.com/output/1268405 |
Accepted Journal Article
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Copyright Statement
Electronic version of an article published as Parallel Processing Letters, 29, 02, 2019, 1950009 https://doi.org/10.1142/S0129626419500099 © [copyright World Scientific Publishing Company] http://www.worldscientific.com/worldscinet/ppl
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