Time and volume based optimal pricing strategies for telecommunication networks

In the recent past, there have been several initiatives by major network providers such as Turk Telekom lead the industry towards network capacity distribution in Turkey. In this study, we use a monopoly pricing model to examine the optimal pricing strategies for “pay-per-volume” and “pay-per-time” based leasing of data networks. Traditionally, network capacity distribution includes short/long term bandwidth and/or usage time leasing. Each consumer has a choice to select volume based pricing or connection time based pricing. When customers choose connection time based pricing, their optimal behavior would be utilizing the bandwidth capacity fully therefore it can cause network to burst. Also, offering pay-per-volume scheme to the consumer provides the advantage of leasing the excess capacity for other potential customers for network provider. We examine the following issues in this study: (i) What are the extra benefits to the network provider for providing the volume based pricing scheme? and (ii) Does the amount of demand (number of customers enter the market) change? The contribution of this paper is to show that pay-per-volume is a viable alternative for a large number of customers, and that judicious pricing for pay-per-volume is profitable for the network provider

Ioannis N. Grigoriadis, Instilling Religion in Greek and Turkish Nationalism: A”Sacred Synthesis”

Book Revie

Performance Analysis for Mesh and Mesh-Spectral Archetype Applications

This document outlines a simple method for benchmarking a parallel communication library and for using the results to model the performance of applications developed with that communication library. We use compositional performance analysis - decomposing a parallel program into its modular parts and analyzing their respective performances - to gain perspective on the performance of the whole program. This model is useful for predicting parallel program execution times for different types of program archetypes, (e.g., mesh and mesh-spectral) using communication libraries built with different message-passing schemes (e.g., Fortran M and Fortran with MPI) running on different architectures (e.g., IBM SP2 and a network of Pentium personal computers)

Assessing the Relative Performance of University Departments: Teaching vs. Research

Data Envelopment Analysis (DEA) is known as a non-parametric method to evaluate the relative efficiencies of a set of homogenous decision-making units (DMUs) (i.e., banking, health, education, etc.) that use multiple inputs to produce multiple outputs. DEA models also have applications for universities or specifically, departments of a university. In practice, determining input and output measures may be based on the available data. However, lack of defining an important measure or use of invalid data may mislead the decision maker. Therefore, this study aims to assess the affect of missing values such as by discarding of outputs on DMU’s efficiency values. The up-to-date data for the departments of an engineering faculty are considered and their performances are presented based on teaching and research oriented measures.Data Envelopment Analysis, Higher Education, University Departments, Teaching, Research

The effects of qos level degradation cost on provider selection and task allocation model in telecommunication networks

Firms acquire network capacity from multiple suppliers which offer different Quality of Service (QoS) levels. After acquisition, day-to-day operations such as video conferencing, voice over IP and data applications are allocated between these acquired capacities by considering QoS requirement of each operation. In optimal allocation scheme, it is generally assumed each operation has to be placed into resource that provides equal or higher QoS Level. Conversely, in this study it is showed that former allocation strategy may lead to suboptimal solutions depending upon penalty cost policy to charge degradation in QoS requirements. We model a cost minimization problem which includes three cost components namely capacity acquisition, opportunity and penalty due to loss in QoS

The Mesh Archetype

A parallel program archetype [2] aids in the development of reliable, efficient parallel applications with common computation/communication structures by providing development methods and code libraries specific to the structure. This document presents an archetype for mesh-spectral computations. It describes the common structure captured by the archetype abstraction, discusses a parallelization strategy for such computations, documents our code library to support this parallelization strategy, and presents a collection of tutorial example application programs

Proceedings of the Conference on Emerging Economic Issues in a Globalizing World

In this paper, we empirically examine the short term overreaction effect in the Istanbul Stock Exchange using daily stock data from January 1999 to December 2003. The study period covers the pre- and post- Turkish financial crisis period. Consistent with other prior studies on other markets, we find evidence of short term overreaction effect in the Istanbul Stock Exchange prior and post financial crisis. Our analysis highlights that stocks that display a large price increase (winners) show an evidence of overreaction in the short run, however, stocks that display a large price decline (losers) indicate no significant evidence. We also find the price reversal for winners in pre-crisis period is more pronounced than in post-crisis period. These results indicate a diminished degree of overreaction after the crisis period which may be attributable to the behaviors of traders.short term overreaction effect, Istanbul Stock Exchange

The Interaction between Interregional Disparities and Immigration in Turkey

The changing economic processes in the world have been affected on both the regions within a country and regions as a group of countries. In the regional development literature, although it is emphasized that globalization will enhance the development of advantages-rich regions, there are some other approaches assuming that increasing economic interaction and technological improvements will help to develop relatively less developed-peripheral regions as well. Furthermore, the studies, which are analyzing interregional disparities, put forward the significant impact of factor movements. Interregional migration has been considered as a significant issue of metropolitan regions on the one hand and the loss of workforce in the less-developed regions on the other hand. Migration has been one of the significant factors in order to explain the spatial aspects of economic development. The aim of this paper is, to evaluate inter-provincial migration related to their development levels and their geographical locations in Turkey. In order to measure the interaction between interregional disparities and migration pattern, the findings of regression analysis, which are constituted by using several socio-economic indicators, will be displayed. Furthermore, it is examined the assumption that geographical locations of provinces have an effect and cause not only their levels of development, but migration trends as well. Therefore, locating in the western regions, being a coastal province and being close to the metropolitan cities are the main locational advantages for immigration.