Abstract
We study two-party communication in the context of directed dynamic networks that are controlled by an adaptive adversary. This adversary is able to change all edges as long as the networks stay strongly-connected in each round. In this work, we establish a relation between counting the total number of nodes in the network and the problem of exchanging tokens between two communication partners which communicate through a dynamic network. We show that the communication problem for a constant fraction of n tokens in a dynamic network with n nodes is at most as hard as counting the number of nodes in a dynamic network with at most 4nā+ā3 nodes. For the proof, we construct a family of directed dynamic networks and apply a lower bound from two-party communication complexity.
This work was partially supported by the German Research Foundation (DFG) within the Collaborative Research Centre āOn-The-Fly Computingā (SFB 901), by the EU within FET project MULTIPLEX under contract no. 317532, and the International Graduate School āDynamic Intelligent Systemsā.
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References
Biely, M., Robinson, P., Schmid, U.: Agreement in directed dynamic networks. In: SIROCCO, pp. 73ā84 (2012)
Brandes, P., Meyer auf der Heide, F.: Distributed computing in fault-prone dynamic networks. In: TADDS, pp. 9ā14 (2012)
Dutta, C., Pandurangan, G., Rajaraman, R., Sun, Z., Viola, E.: On the complexity of information spreading in dynamic networks. In: SODA, pp. 717ā736 (2013)
Frischknecht, S., Holzer, S., Wattenhofer, R.: Networks cannot compute their diameter in sublinear time. In: SODA, pp. 1150ā1162 (2012)
Haeupler, B., Karger, D.R.: Faster information dissemination in dynamic networks via network coding. In: PODC, pp. 381ā390 (2011)
Kuhn, F., Lenzen, C., Locher, T., Oshman, R.: Optimal gradient clock synchronization in dynamic networks. In: PODC, pp. 430ā439 (2010)
Kuhn, F., Lynch, N.A., Oshman, R.: Distributed computation in dynamic networks. In: STOC, pp. 513ā522 (2010)
Kuhn, F., Moses, Y., Oshman, R.: Coordinated consensus in dynamic networks. In: PODC, pp. 1ā10 (2011)
Kuhn, F., Oshman, R.: Dynamic networks: models and algorithms. SIGACT NewsĀ 42(1), 82ā96 (2011)
Michail, O., Chatzigiannakis, I., Spirakis, P.G.: Brief announcement: Naming and counting in anonymous unknown dynamic networks. In: Aguilera, M.K. (ed.) DISC 2012. LNCS, vol.Ā 7611, pp. 437ā438. Springer, Heidelberg (2012)
Michail, O., Chatzigiannakis, I., Spirakis, P.G.: Causality, influence, and computation in possibly disconnected synchronous dynamic networks. In: Baldoni, R., Flocchini, P., Binoy, R. (eds.) OPODIS 2012. LNCS, vol.Ā 7702, pp. 269ā283. Springer, Heidelberg (2012)
OāDell, R., Wattenhofer, R.: Information dissemination in highly dynamic graphs. In: DIALM-POMC, pp. 104ā110 (2005)
Oshman, R.: Distributed Computation in Wireless and Dynamic Networks. PhD thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 (September 2012)
Sarma, A.D., Holzer, S., Kor, L., Korman, A., Nanongkai, D., Pandurangan, G., Peleg, D., Wattenhofer, R.: Distributed verification and hardness of distributed approximation. SIAM J. Comput.Ā 41(5), 1235ā1265 (2012)
Das Sarma, A., Molla, A.R., Pandurangan, G.: Fast distributed computation in dynamic networks via random walks. In: Aguilera, M.K. (ed.) DISC 2012. LNCS, vol.Ā 7611, pp. 136ā150. Springer, Heidelberg (2012)
Yao, A.C.-C.: Some complexity questions related to distributive computing (preliminary report). In: STOC, pp. 209ā213 (1979)
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Abshoff, S., Benter, M., Malatyali, M., Meyer auf der Heide, F. (2013). On Two-Party Communication through Dynamic Networks. In: Baldoni, R., Nisse, N., van Steen, M. (eds) Principles of Distributed Systems. OPODIS 2013. Lecture Notes in Computer Science, vol 8304. Springer, Cham. https://doi.org/10.1007/978-3-319-03850-6_2
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DOI: https://doi.org/10.1007/978-3-319-03850-6_2
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