Abstract
LEO satellite networks, with moderate propagation delay and low terminal power requirement, are considered as a promising solution to providing global seamless access services for ubiquitous computing. In order to satisfy the requirement of accessing computing resource for users, end-to-end delays should be bounded for a continual and reliable connectivity. But given dynamic topology and non-uniform distribution of terrestrial users, end-to-end delays within LEO satellite networks are liable to fluctuate. Hence, to examine the delay constraint, an analytical model based on a tandem queue is established under a hot-spot traffic pattern, which is unfavorable for bounded delays. The departure interval moments of a target flow are calculated and fitted for the next link as input parameters, from which queuing delays under cross flows are iteratively obtained. The analytical results show that this model is able to depict the influence by the traffic pattern with satisfying accuracy, which is valuable for the design of routing schemes in satellite networks.
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References
Friedewald M, Raabe O. Ubiquitous computing: an overview of technology impacts. Telematics Inform, 2011, 28: 55–65
Yu P, Ma X X, Cao J N, et al. Application mobility in pervasive computing: a survey. Pervasive Mob Comput, 2013, 9: 2–17
Nishiyama H, Kudoh D, Kato N, et al. Load balancing and QoS provisioning based on congestion prediction for GEO/LEO hybrid satellite networks. P IEEE, 2011, 99: 1998–2007
Kawamoto Y, Nishiyama H, Kato N, et al. Assessing packet delivery delay in multi-layered satellite networks. In: Proceedings of IEEE International Conference on Communication, Ottawa, 2012. 3311–3315
Hermenier R, Kissling C, Donner A. A delay model for satellite constellation networks with inter-satellite links. In: Proceedings of International Workshop on Satellite and Space Communication, Tuscany, 2009. 3–7
Wu F G, Sun F C, Sun Z Q, et al. Performance evaluation on a double-layered satellite network (in Chinese). J Comput R&D, 2005, 42: 259–265
Hong Z G, Wang Y B, Shi M Y. A SPN-Based Delay Analysis of LEO Satellite Networks. Springer Berlin Heidelberg, 2008. 598–606
Jurski J, Wozniak J. Routing decisions independent of queuing delays in broadband LEO networks. In: Proceedings of IEEE Global Telecommunication Conference, Honolulu, 2009. 1–6
Mohorcic M, Svigelj A, Kandus G, et al. Demographically weighted traffic flow models for adaptive routing in packetswitched non-geostationary satellite meshed networks. Comput Netw, 2003, 43: 113–131
Fischer W. The Markov-modulated Poisson process (MMPP) cookbook. Perform Eval, 1993, 18: 149–171
Min G Y, Wu Y L, Mohamed O K, et al. Performance modeling and analysis of interconnection networks with spatio-temporal bursty traffic. In: Proceedings of IEEE Global Telecommunication Conference, Honolulu, 2009. 1–6
Ferng H W, Chao C C, Peng C C. Path-wise performance in a tree-type network: per-stream loss probability, delay, and delay variance analyses. Perform Eval, 2007, 64: 55–75
Heindl A. Decomposition of general queuing networks with MMPP inputs and customer losses. Perform Eval, 2003, 51: 117–136
Sun J, Modiano E. Routing strategy for maximizing throughput in LEO satellite networks. IEEE J Sel Area Commun, 2004, 22: 273–285
Ferng H W, Chang J F. Connection-wise end-to-end performance analysis of queuing networks with MMPP inputs. Perform Eval, 2001, 43: 39–62
Casale G, Zhang E Z, Smirni E. Trace data characterization and fitting for Markov modeling. Perform Eval, 2010, 67: 61–79
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Chen, J., Liu, L. & Hu, X. Towards an end-to-end delay analysis of LEO satellite networks for seamless ubiquitous access. Sci. China Inf. Sci. 56, 1–13 (2013). https://doi.org/10.1007/s11432-013-5000-9
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DOI: https://doi.org/10.1007/s11432-013-5000-9