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Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Hasan Hüseyin Turan, Nihat Kasap, Dursun Delen, Mehmet Nahit Serarslan
2016 International Journal of Computational Intelligence Systems  
In this paper, bandwidth acquisition and allocation problem of a telecommunications Bandwidth Broker (BB) is analyzed under uncertain end-user capacity requests and pay-per-byte (volume) based pricing  ...  In addition, several secondary performance measures such as expected capacity utilization, expected demand fulfilment ratio and capacity loss are calculated under different problem settings.  ...  Acknowledgements Preliminary findings of this article was presented in ISCSE 2013 Proceedings book with title the "A Fuzzy Capacity Acquisition and Allocation Model for Bandwidth Brokers under Uncertainty  ... 
doi:10.1080/18756891.2016.1149998 fatcat:etz6gurbjnhafm2rnb6b2jj56i

32. Stochastic Optimization Problems in Telecommunications [chapter]

Alexei A. Gaivoronski
2005 Applications of Stochastic Programming  
We survey different optimization problems under uncertainty which arise in telecommunications.  ...  Three levels of decisions are distinguished: design of structural elements of telecommunication networks, top level design of telecommunication networks and design of optimal policies of telecommunication  ...  In an example the objective is to develop a plan for the expansion of mobile network based on the demand forecast.  ... 
doi:10.1137/1.9780898718799.ch32 fatcat:xiv42qsfcvf2tmussxzo2dizjq

Managing capacity for telecommunications networks under uncertainty

Y. d'Halluin, P.A. Forsyth, K.R. Vetzal
2002 IEEE/ACM Transactions on Networking  
The explosion in Internet use has created a huge demand for telecommunications capacity. However, this demand is extremely volatile, making network planning difficult.  ...  Consequently, we believe that this methodology can offer insights for network management. Index Terms-Network planning, real options, uncertain demand for capacity.  ...  Kealey for many useful discussions.  ... 
doi:10.1109/tnet.2002.801416 fatcat:l6zv6f4c2nc6fkajofueaxpfj4

A Taxonomy of Communications Demand [chapter]

2000 The Internet Upheaval  
Demand forecasts are an essential tool for planning capacity and formulating policy.  ...  This paper presents an alternative approach to the study of telecommunications demand: build aggregate estimates for demand based on the elasticity of demand for bandwidth.  ...  Figure 4 . 4 Pricing for QoS elasticity) is the input and planned traffic and pricing is added to the usual solution of when, what and where to install network elements under Communications Demand consideration  ... 
doi:10.7551/mitpress/3874.003.0013 fatcat:rcygzzjvkbdtjj7rrektjhz7ta

Multimarket Facility Network Design with Offshoring Applications

Lauren Xiaoyuan Lu, Jan A. Van Mieghem
2009 Manufacturing & Service Operations Management  
The optimal location of commonality crucially depends on the relative magnitude of price and manufacturing cost differentials but also on demand size and uncertainty.  ...  This paper studies a manufacturer's multimarket facility network design problem and investigates the offshoring decision from a network capacity investment perspective.  ...  With demand uncertainty, both strategies may become opti-mal under certain conditions that hinge on the price differential and demand volatility.  ... 
doi:10.1287/msom.1070.0198 fatcat:z5qm4bwkqnctlifwduedfmcwp4

Towards 5G: Scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure

Edward Oughton, Zoraida Frias, Tom Russell, Douglas Sicker, David D. Cleevely
2018 Technological forecasting & social change  
Developing and applying an open-source modelling framework, we quantify the uncertainty associated with future demand and supply for a hypothetical MNO, using Britain as a case study example.  ...  To meet this demand, spectrum strategies require the least amount of capital expenditure and can meet baseline growth until approximately 2025, after which new spectrum bands will be required.  ...  Discussion Estimating the future demand for mobile telecommunications infrastructure is a challenging task, as there is a very high degree of uncertainty.  ... 
doi:10.1016/j.techfore.2018.03.016 fatcat:vtgjjod2drgy7m7wvxbfok7bte

Managing Capacity in the High-Tech Industry: A Review of Literature

S. David Wu, Murat Erkoc, Suleyman Karabuk
2005 The Engineering Economist  
This article surveys a new generation of analytical tools for capacity planning and management, especially in high-tech industries such as semiconductors, electronics and bio-techs.  ...  The goal of this survey is to go beyond typical production-planning and capacity-management literature and to examine research that can potentially broaden capacity-planning research.  ...  a viable strategy for the trading parties under exogenous prices.  ... 
doi:10.1080/00137910590949887 fatcat:jnvxkluumneh3lcqurw2oufeve

Managing Supply Risk in Fixed Price Contracts: A Contingent Claims Perspective

Bardia Kamrad, Ran Ji, Glen M. Schmidt
2017 Foundations and Trends® in Technology Information and Operations Management  
The study suggests that a firm should use equity-financing to finance lead-time reduction for products with high demand uncertainty and use debt financing for products with low demand uncertainty.  ...  In the first paper, "Operational Hedging through Dual-Sourcing under Capacity Uncertainty," Xin Chen summarizes his earlier works with coauthors on the optimal dual sourcing strategy when supply capacities  ... 
doi:10.1561/0200000079 fatcat:7fd54uyk4bdurhk2mvhdqu5nm4

The Measure and Regulation of Competition in Telecommunications Markets

Marcel Boyer
2005 Social Science Research Network  
See also Marcel Boyer, Eric Gravel, and Pierre Lasserre, "Real Options And Network Access Pricing Under Uncertainty", mimeo, CIRANO 2005. See H.P.  ...  The telecommunications frenzy of the 1990s, both in terms of capacity investments and technological developments, led to a 500-fold transmission capacity increase while demand itself increased by a phenomenal  ... 
doi:10.2139/ssrn.873350 fatcat:o5fmfcnpfbhq5gjpkvuf3nnwra

Advances in Supply Chain Finance and FinTech Innovations Overview

Panos Kouvelis, Ling Dong, Danko Turcic
2020 Foundations and Trends® in Technology Information and Operations Management  
In "The Term Structure of Optimal Operations" Guiotto, Roncoroni, and Turcic study capacity planning in the presence of demand and price uncertainty when the timing of when to serve demand, and when to  ...  price uncertainty) and supply options (cost effective, but require commitment via reservation fees for capacity blocks).  ...  In this paper, we re-visit the capacity planning decision by assuming that demand follows a stochastic process and study what happens when both the time of sale and capacity are decisions.  ... 
doi:10.1561/0200000096 fatcat:abuac3msqnb5pa3gqbyhzj2c6i

Cost Analysis of WDM and TDM Fiber-to-the-Home (FTTH) Networks: A System-of-Systems Approach

Theodore Rokkas, Ioannis Neokosmidis, Dimitris Katsianis, Dimitris Varoutas
2012 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
A system-of-systems (SoS) approach for wavelengthdivision multiplexing (WDM) and time-division multiplexing (TDM) fiber-to-the-home (FTTH) telecommunication networks is presented.  ...  Cost evolution curves for individual systems as well for whole FTTH WDM and TDM networks are presented.  ...  , tools, and research ideas for the evaluation of telecommunications networks deployment strategies.  ... 
doi:10.1109/tsmcc.2012.2227999 fatcat:xjs57kc3vfd75hrhphxiw5ogda

Value chain management for commodities: a case study from the chemical industry

M. Kannegiesser, H.-O. Günther, P. van Beek, M. Grunow, C. Habla
2008 OR spectrum  
We present a planning model for chemical commodities related to an industry case. Commodities are standard chemicals characterized by sales and supply volatility in volume and value.  ...  Demand-oriented models focus on uncertainty in demand quantities not in prices.  ...  They develop a multi-company demand and supply network planning model to maximize profit under demand uncertainty and pricing decisions.  ... 
doi:10.1007/s00291-008-0124-9 fatcat:ec3zydz54nddjesyazcg2ofhby

A General Framework for Competitive Analysis in Wireless Telecommunications

J. Gregory Sidak, Hal J. Singer, David J. Teece
2001 Social Science Research Network  
Technological change and uncertainty surely characterize the telecommunications industry. As Friedrich A.  ...  The probability of either monopolization by a single firm or collusive pricing by a group of firms is near zero due to the growing tendency of carriers to adopt nationwide pricing plans and because capacity  ... 
doi:10.2139/ssrn.257924 fatcat:aknxbajixff4paduuzp57z6z5i

Modeling perspective for the relevant market of voice services: Mobile to Mobile

O. Lucía Quintero, Fabián L. Jaramillo P., Manuela Bastidas
2015 MASKANA  
The manuscript addresses the application of control systems engineering for the development of an integrated model of the market, using a neural network for the forecasting of tariffs and a neuro-fuzzy  ...  model for demand prediction.  ...  Figure 9 . 9 Real (a) and estimated (b) demand of calls (Traffic) on-net and off-net for operators in Ecuador's Mobile Telecommunications Market.  ... 
doi:10.18537/mskn.06.02.13 fatcat:oe2lbsadxjabfpuozpw22v2m6i

Optimal Collaborative Expansion Planning of Integrated Cooling and Power System for Low-latitude Distribution Networks

Bo Yang, Jun Tang, Zhao Luo, Chen Yang, Xiaofeng Dong, Jialu Geng, Yunrui Jia, Hongzhi Liu
2021 IEEE Access  
To address the above problem, this article proposes a novel collaborative expansion planning scheme for integrated cooling and power system.  ...  uncertainties.  ...  References [25] and [26] discuss a planning and operation approach for data centers and telecommunications systems to achieve a multi-time scale cooling and electricity management.  ... 
doi:10.1109/access.2021.3056388 fatcat:nqpe2m3vkrhdhmhzkrxlfdrilu
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