1. bookVolume 29 (2019): Issue 1 (March 2019)
    Exploring Complex and Big Data (special section, pp. 7-91), Johann Gamper, Robert Wrembel (Eds.)
Journal Details
License
Format
Journal
eISSN
2083-8492
First Published
05 Apr 2007
Publication timeframe
4 times per year
Languages
English
Open Access

Utility optimization–based bandwidth allocation for elastic and inelastic services in peer–to–peer networks

Published Online: 29 Mar 2019
Volume & Issue: Volume 29 (2019) - Issue 1 (March 2019) - Exploring Complex and Big Data (special section, pp. 7-91), Johann Gamper, Robert Wrembel (Eds.)
Page range: 111 - 123
Received: 14 Mar 2018
Accepted: 22 Oct 2018
Journal Details
License
Format
Journal
eISSN
2083-8492
First Published
05 Apr 2007
Publication timeframe
4 times per year
Languages
English

Antal, E. and Vinkó, T. (2016). Modeling max-min fair bandwidth allocation in bittorrent communities, Computational Optimization and Applications66(2): 383–400.10.1007/s10589-016-9866-5Search in Google Scholar

Bertsekas, D. (2003). Nonlinear Programming, Athena Scientific, Belmont, MA.Search in Google Scholar

Chen, M., Ponec, M., Sengupta, S., Li, J. and Chou, P. (2012). Utility maximization in peer-to-peer systems with applications to video conferencing, IEEE/ACM Transactions on Networking20(6): 1681–1694.10.1109/TNET.2012.2201166Search in Google Scholar

Eger, K. and Killat, U. (2007a). Fair resource allocation in peer-to-peer networks (extended version), Computer Communications30(16): 3046–3054.10.1016/j.comcom.2007.05.039Search in Google Scholar

Eger, K. and Killat, U. (2007b). Resource pricing in peer-to-peer networks, IEEE Communications Letters11(1): 82–84.10.1109/LCOMM.2007.061094Search in Google Scholar

Goswami, A., Gupta, R. and Parashari, G. (2017). Reputation-based resource allocation in P2P systems: A game theoretic perspective, IEEE Communications Letters21(6): 1273–1276.10.1109/LCOMM.2017.2675900Search in Google Scholar

Gupta, R., Singha, N. and Singh, Y. (2015). Reputation based probabilistic resource allocation for avoiding free riding and formation of common interest groups in unstructured P2P networks, Peer-to-Peer Networking and Applications9(6): 1101–1113.10.1007/s12083-015-0389-0Search in Google Scholar

Hande, P., Zhang, S. and Chiang, M. (2007). Distributed rate allocation for inelastic flows, IEEE/ACM Transactions on Networking15(6): 1240–1253.10.1109/TNET.2007.896507Search in Google Scholar

Koutsopoulos, I. and Iosifidis, G. (2010). A framework for distributed bandwidth allocation in peer-to-peer networks, Performance Evaluation67(4): 285–298.10.1016/j.peva.2009.09.006Search in Google Scholar

Kumar, C., Altinkemer, K. and De, P. (2011). A mechanism for pricing and resource allocation in peer-to-peer networks, Electronic Commerce Research and Applications10(1): 26–37.10.1016/j.elerap.2010.07.004Search in Google Scholar

Lee, J., Mazumdar, R. and Shroff, N. (2005). Non-convex optimization and rate control for multi-class services in the internet, IEEE/ACM Transactions on Networking13(4): 827–840.10.1109/TNET.2005.852876Search in Google Scholar

Li, S., Jiao, L., Zhang, Y., Wang, Y. and Sun, W. (2017). A scheme of resource allocation for heterogeneous services in peer-to-peer networks using particle swarm optimization, IAENG International Journal of Computer Science44(4): 482–488.Search in Google Scholar

Li, S. and Sun, W. (2016). A mechanism for resource pricing and fairness in peer-to-peer networks, Electronic Commerce Research16(4): 425–451.10.1007/s10660-016-9211-1Search in Google Scholar

Li, S., Sun, W., E, C.-G. and Shi, L. (2016a). A scheme of resource allocation and stability for peer-to-peer file-sharing networks, International Journal of Applied Mathematics & Computer Science26(3): 707–719, DOI: 10.1515/amcs-2016-0049.10.1515/amcs-2016-0049Open DOISearch in Google Scholar

Li, S., Sun, W. and Hua, C. (2016b). Optimal resource allocation for heterogeneous traffic in multipath networks, International Journal of Communication Systems29(1): 84–98.10.1002/dac.2800Search in Google Scholar

Li, S., Sun, W. and Tian, N. (2015). Resource allocation for multi-class services in multipath networks, Performance Evaluation92(1): 1–23.10.1016/j.peva.2015.06.001Search in Google Scholar

Lin, F., Zhou, X., Huang, D. and Yuan, J. (2015). Hierarchical name system based on hybrid p2p for multimedia networks, Telecommunication Systems59(3): 393–400.10.1007/s11235-014-9944-xSearch in Google Scholar

Satsiou, A. and Tassiulas, L. (2010). Reputation-based resource allocation in p2p systems of rational users, IEEE Transactions on Parallel and Distributed Systems21(4): 466–479.10.1109/TPDS.2009.80Search in Google Scholar

Song, F., Huang, D., Zhou, H., Zhang, H. and You, I. (2014). An optimization-based scheme for efficient virtual machine placement, International Journal of Parallel Programming42(5): 853–872.10.1007/s10766-013-0274-5Search in Google Scholar

Song, F., Li, R. and Zhou, H. (2015). Feasibility and issues for establishing network-based carpooling scheme, Pervasive and Mobile Computing24(1): 4–15.10.1016/j.pmcj.2015.05.002Search in Google Scholar

Song, F., Zhou, Y., Kong, K., Zheng, Q., You, I. and Zhang, H. (2017). Smart collaborative connection management for identifier-based network, IEEE Access5: 7936–7949.10.1109/ACCESS.2017.2700337Search in Google Scholar

Vo, P., Lee, S. and Hong, C. (2012). The random access num with multiclass traffic, EURASIP Journal on Wireless Communications and Networking242: 1–12.10.1186/1687-1499-2012-242Search in Google Scholar

Wang, K., Yin, H., Quan, W. and Min, G. (2018). Enabling collaborative edge computing for software defined vehicular networks, IEEE Network32(5): 112–117.10.1109/MNET.2018.1700364Search in Google Scholar

Yan, H., Gao, D., Su, W., Foh, C., Zhang, H. and Vasilakos, A. (2017). Caching strategy based on hierarchical cluster for named data networking, IEEE Access5: 8433–8443.10.1109/ACCESS.2017.2694045Search in Google Scholar

Zheng, Y., Lin, F., Yang, Y. and Gan, T. (2016). Adaptive resource scheduling mechanism in P2P file sharing system, Peer-to-Peer Networking and Applications9(6): 1089–1100.10.1007/s12083-015-0381-8Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo