International Journal of Network Management

Cover image for Vol. 24 Issue 4

Early View (Online Version of Record published before inclusion in an issue)

Edited By: James Won-Ki Hong

Impact Factor: 0.517

ISI Journal Citation Reports © Ranking: 2013: 60/78 (Telecommunications); 105/135 (Computer Science Information Systems)

Online ISSN: 1099-1190

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  1. 1 - 6
  1. Research Articles

    1. Network pricing: can both ISP and P2P benefit?

      Zhen Li and Qi Liao

      Article first published online: 25 AUG 2014 | DOI: 10.1002/nem.1869

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      In the big-data era, emerging applications utilizing P2Ps put significant bandwidth pressures on ISPs causing them to reconsider their current business model. We study the impact of a temporal-based pricing model that combines the advantages of both unlimited bandwidth access (flat rates) and payment-induced consumption models (metered rates), providing a mutually beneficial solution for both Internet users and ISPs.

    2. Analytical model for Binding Refresh Request to reduce storage and communication overhead in MIPv6 network

      Avelin Diana A., Sundarakantham K., Mercy Shalinie S. and Rajendran L.

      Article first published online: 20 AUG 2014 | DOI: 10.1002/nem.1871

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      Binding Refresh Request (BRR) is important to maintain binding association between mobile node (MN) and home agent (HA). Time interval between two BRR from HA to MN for a binding determines the contract length. In the proposed approach, dynamic BRR contract length is established for each and every MN record of binding cache to reduce storage and communication overhead in MIPv6 network.

    3. Quality-based charging solutions for wireless multimedia services

      Tamás Jursonovics and Sándor Imre

      Article first published online: 13 AUG 2014 | DOI: 10.1002/nem.1868

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      Our study was set out to explore the concept of charging solutions for IPTV delivery over mobile networks, the role and importance of quality of service in the charging process and the establishment of a fair pricing model and charging solution. This paper develops a quality based charging solution for 3GPP wireless networks, with the aim of providing a fair pricing solution for multimedia services. An appropriate business model is selected and a streaming proxy based charging architecture is developed based on the quality of the multimedia service.

    4. Power-conservative server consolidation based resource management in cloud

      Varalakshmi Perumal and Sankari Subbiah

      Article first published online: 12 AUG 2014 | DOI: 10.1002/nem.1873

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      This article discusses an impact on electrical energy cost, peak power dissipation, cooling and carbon emissions due to increase in number of data centres. The cloud computing resources such as memory, CPU, storage and network are considered and their power consumptions are needed to be conserved .The power conservation by means of improving the percentage of allocated jobs, reducing the number of unoccupied PMs and by improving the percentage of remaining storage unused in PMs.

    5. A distributed implementation of mobility load balancing with power control and cell reselection in 4G network

      Hye J. Kang and Chung G. Kang

      Article first published online: 12 MAY 2014 | DOI: 10.1002/nem.1860

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      We consider mobility load balancing in a 4G network, which determines the transmission power for base stations and cell reselection for mobile stations such that the network-wide load is minimized while satisfying the minimum SINR requirement. Both centralized and distributed schemes are proposed. Our simulation results for a uniform user distribution demonstrate that the proposed scheme can achieve up to almost 80% of a load balancing gain that has been achieved by the centralized scheme.

    6. Design of energy-efficient cloud systems via network and resource virtualization

      Burak Kantarci, Luca Foschini, Antonio Corradi and Hussein T. Mouftah

      Article first published online: 13 AUG 2013 | DOI: 10.1002/nem.1838

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      We propose a holistic approach for a large-scale cloud system where the cloud services are provisioned by several data centers interconnected over the backbone network. We propose an MILP formulation for VM placement that aims at minimizing both power consumption at the virtualized backbone network and resource usage inside data centers. Since the general holistic MILP formulation requires heavy and long-running computations, we partition the problem into two sub-problems, namely, intra and inter-data center VM placement.

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