H Χρέωση ως Μηχανισμός Ελέγχου Δικτύων. Κωνσταντίνος Κουρκουμπέτης, Βασίλειος Σύρης και Γεώργιος Δ. Σταμούλης

Size: px
Start display at page:

Download "H Χρέωση ως Μηχανισμός Ελέγχου Δικτύων. Κωνσταντίνος Κουρκουμπέτης, Βασίλειος Σύρης και Γεώργιος Δ. Σταμούλης"

Transcription

1 H Χρέωση ως Μηχανισμός Ελέγχου Δικτύων Κωνσταντίνος Κουρκουμπέτης, Βασίλειος Σύρης και Γεώργιος Δ. Σταμούλης

2 Why Charge for Telecommuncaton Servces? In order for the Network (or Servce) Provder to: Recover costs Make profts and save captal for future expanson Control the system: examples: chargng of applcatons for admsson to U.S. unversty chargng for street-parkng n a cty Obtan nformaton from users examples: specal call packages for long-dstance fxed telephony or for moble telephony ther adopton s ndcatve of user s type and future behavor Δίκτυα Υπολογιστών Εισαγωγή - 2

3 Termnology prce: correlated wth servce unt E.g. /Mbyte of /callmnute tarff: charge structure more general form of chargng (.e., a+px) control mechansm charge: total amount that must be pad Δίκτυα Υπολογιστών Εισαγωγή - 3

4 Utlty functon Each consumer s characterzed by a utlty functon u(x) Translates nto monetary unts the beneft/satsfacton of the consumer from the use of the partcular network resource or servce Expresses consumer s wllngness-to-pay Can also have the meanng of beneft from tradng, resellng u A (x) u A ( 10) 5, ub(10) 2 u B (x) u C (x) x Δίκτυα Υπολογιστών Εισαγωγή - 4

5 Chargng Components 1. Fxed charge e.g.: monthly flat rate chargng of Internet access 2. Usage charge e.g.: fxed telephony s charged on tme and dstance may be hard to quantfy the unt of usage E.g. bursty traffc should not be charged on volume only, because t s harder to multplex than a constant-rate traffc stream (generatng the same volume), and thus consumes more resources. Δίκτυα Υπολογιστών Εισαγωγή - 5

6 Chargng Components 3. Congeston charge ts level depends on the congeston encountered or caused, smlarly to hghway tolls 4. Qualty charge οften combned wth usage or flat charges A charge of a telecommuncaton servce consttutes a combnaton of the above components Examples: a) monthly flat charge of Internet access depends on access rate,.e. on a qualty factor. b) Often, the followng combnaton apples: Usage + Congeston + Qualty Varable charge Δίκτυα Υπολογιστών Εισαγωγή - 6

7 Congeston Charge Depends on congeston durng servce Apples to cases where: everyone can be served, but congeston results n servce qualty degradaton E.g. hghways, Internet Example: Chargng access to hghways, accordng to the a pror set congeston charge Δίκτυα Υπολογιστών Εισαγωγή - 7

8 Congeston Charge (contnued) Free access traffc n hghway s heavy Pad Access traffc n hghway s lghter Worth? TOLL $5 Δίκτυα Υπολογιστών Εισαγωγή - 8

9 Capacty Expanson A network provder should expand capacty upon congeston socal welfare can be further ncreased, despte the cost for addtonal capacty Economc theory suggests that expanson can be funded by re-nvestng the revenue from congeston charges example: hghways wth tolls TOLL $5 $$$ TOLL $5 Δίκτυα Υπολογιστών Εισαγωγή - 9

10 Fxed and Varable charges Fxed charge: related to connecton cost Varable charge: related wth the sze of consumpton Recovery of usage cost, Control mechansm (of prorty) of consumer u A ( x) 2x C max 10 C max 10 Cost = 1 /unt Connecton Cost = 5 u B ( x) 10x C max 10 5 Cost based chargng: Every user receves x C max / 2 5 Is t economcally optmal? x Δίκτυα Υπολογιστών Εισαγωγή - 10

11 Prcng as a control mechansm (I) Servce provder does not know the utlty functon of the consumers Consumers are pursung ther own beneft The quantty of the avalable servce s fnte How can the total beneft of the consumers be maxmzed? The network proft? Prcng Mechansm! How much should I ask f the prce s p? C p x A How s the problem specalzed for networks? x B Δίκτυα Υπολογιστών Εισαγωγή - 11

12 Chargng as Control Mechansm Charges can be used as an nternal control mechansm of the system provder & users to reach the socal optmum Example: Socally Optmal Bandwdth Allocaton Network Provder sells bandwdth at a prce p per kbps, Gven ths prce, each user selects amount x (p) of kbps purchased Provder pays for capacty wth the revenue collected There exsts an equlbum prce p that leads to socal optmum,.e. maxmzes the sum of user utltes (= socal welfare) prce p socety user n... user 1 Network x 1 (p),, x n (p) Δίκτυα Υπολογιστών Εισαγωγή - 12

13 One lnk, wth capacty concave utlty functons More formally (I) shared by users wth Socal welfare maxmzaton problem: C max u ( ).. x s t x C { x } Mathematcal soluton (requres global nformaton) Maxmze the Lagrangan Δίκτυα Υπολογιστών Εισαγωγή - 13 (1) max L(,{ x }) ( ) ( u x x {, x } The optmal pont of (1) s characterzed by x C, u x, { x} C) for whch:

14 More formally (II) Dstrbuted soluton of the problem wth economc mechansm use prce p The user solves hs own net beneft maxmzaton: u max[ u ( x ) px ] the condton for whch s: p x Prce p dscovered teratvely by means of tattonement process provder updates market prce p n order to lead total demand to become equal to the capacty C. Under general market condtons the market prce p converges to the prce of the centralzed problem (.e. the Lagrange multpler) Approach extended by Kelly et al. to networks Δίκτυα Υπολογιστών Εισαγωγή - 14

15 Incentves A chargng scheme nfluences users demand, accordng to the ncentves t offers to the user for ndvdual optmzaton Each ndvdual user s behavor nfluences the socal well-beng (welfare) A chargng scheme s ncentve compatble f ndvdual user optmzaton also results n socal optmzaton Apples to mechansm of slde 14 Δίκτυα Υπολογιστών Εισαγωγή - 15

16 Examples of Incentves Wrong Incentves Monthly flat charge for Internet access DSL connectons left permanently open, thus gvng rse to the need for more ports n the DSLAMs Free nght use of moble telephones (U.K. late 1990s) blockng: telephones were left open for long hours Δίκτυα Υπολογιστών Εισαγωγή - 16

17 Examples of Incentves Rght Incentves Combnaton of Usage- and congeston-based chargng of Internet consdered as an effectve way to avod congeston Tme-of-day chargng n telephony and power shftng of non-busness calls off the peak perod satsfacton of both busness and non-busness users Δίκτυα Υπολογιστών Εισαγωγή - 17

18 Story on Chargng Internet and Broadband Servces produces servces from shared resources usage s hard to quantfy cost s hard to share network theorsts wrte artcles Telecom network network engneers techncal standards may leave concrete chargng solutons for later economsts complex economc models overlook many crtcal detals of technology Δίκτυα Υπολογιστών Εισαγωγή - 18

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

Pricing Model of Cloud Computing Service with Partial Multihoming

Pricing Model of Cloud Computing Service with Partial Multihoming Prcng Model of Cloud Computng Servce wth Partal Multhomng Zhang Ru 1 Tang Bng-yong 1 1.Glorous Sun School of Busness and Managment Donghua Unversty Shangha 251 Chna E-mal:ru528369@mal.dhu.edu.cn Abstract

More information

Fisher Markets and Convex Programs

Fisher Markets and Convex Programs Fsher Markets and Convex Programs Nkhl R. Devanur 1 Introducton Convex programmng dualty s usually stated n ts most general form, wth convex objectve functons and convex constrants. (The book by Boyd and

More information

Efficient Bandwidth Management in Broadband Wireless Access Systems Using CAC-based Dynamic Pricing

Efficient Bandwidth Management in Broadband Wireless Access Systems Using CAC-based Dynamic Pricing Effcent Bandwdth Management n Broadband Wreless Access Systems Usng CAC-based Dynamc Prcng Bader Al-Manthar, Ndal Nasser 2, Najah Abu Al 3, Hossam Hassanen Telecommuncatons Research Laboratory School of

More information

How To Improve Power Demand Response Of A Data Center Wth A Real Time Power Demand Control Program

How To Improve Power Demand Response Of A Data Center Wth A Real Time Power Demand Control Program Demand Response of Data Centers: A Real-tme Prcng Game between Utltes n Smart Grd Nguyen H. Tran, Shaole Ren, Zhu Han, Sung Man Jang, Seung Il Moon and Choong Seon Hong Department of Computer Engneerng,

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

More information

Economic Models for Cloud Service Markets

Economic Models for Cloud Service Markets Economc Models for Cloud Servce Markets Ranjan Pal and Pan Hu 2 Unversty of Southern Calforna, USA, rpal@usc.edu 2 Deutsch Telekom Laboratores, Berln, Germany, pan.hu@telekom.de Abstract. Cloud computng

More information

CALL ADMISSION CONTROL IN WIRELESS MULTIMEDIA NETWORKS

CALL ADMISSION CONTROL IN WIRELESS MULTIMEDIA NETWORKS CALL ADMISSION CONTROL IN WIRELESS MULTIMEDIA NETWORKS Novella Bartoln 1, Imrch Chlamtac 2 1 Dpartmento d Informatca, Unverstà d Roma La Sapenza, Roma, Italy novella@ds.unroma1.t 2 Center for Advanced

More information

Evolution of Internet Infrastructure in the 21 st century: The Role of Private Interconnection Agreements

Evolution of Internet Infrastructure in the 21 st century: The Role of Private Interconnection Agreements Evoluton of Internet Infrastructure n the 21 st century: The Role of Prvate Interconnecton Agreements Rajv Dewan*, Marshall Fremer, and Pavan Gundepud {dewan, fremer, gundepudpa}@ssb.rochester.edu Smon

More information

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College Feature selecton for ntruson detecton Slobodan Petrovć NISlab, Gjøvk Unversty College Contents The feature selecton problem Intruson detecton Traffc features relevant for IDS The CFS measure The mrmr measure

More information

PAS: A Packet Accounting System to Limit the Effects of DoS & DDoS. Debish Fesehaye & Klara Naherstedt University of Illinois-Urbana Champaign

PAS: A Packet Accounting System to Limit the Effects of DoS & DDoS. Debish Fesehaye & Klara Naherstedt University of Illinois-Urbana Champaign PAS: A Packet Accountng System to Lmt the Effects of DoS & DDoS Debsh Fesehaye & Klara Naherstedt Unversty of Illnos-Urbana Champagn DoS and DDoS DDoS attacks are ncreasng threats to our dgtal world. Exstng

More information

Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers

Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers Prce Competton n an Olgopoly Market wth Multple IaaS Cloud Provders Yuan Feng, Baochun L, Bo L Department of Computng, Hong Kong Polytechnc Unversty Department of Electrcal and Computer Engneerng, Unversty

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo

More information

Supply network formation as a biform game

Supply network formation as a biform game Supply network formaton as a bform game Jean-Claude Hennet*. Sona Mahjoub*,** * LSIS, CNRS-UMR 6168, Unversté Paul Cézanne, Faculté Sant Jérôme, Avenue Escadrlle Normande Némen, 13397 Marselle Cedex 20,

More information

The Economics of Two-sided Markets 2. Platform competition!

The Economics of Two-sided Markets 2. Platform competition! U. Porto Doctoral Programme n Economcs The Economcs of Two-sded Markets 2. Platform competton! Paul Belleflamme, CORE & LSM! Unversté catholque de Louvan! Aprl 10-13, 2012 Learnng objectves At the end

More information

AN APPROACH TO WIRELESS SCHEDULING CONSIDERING REVENUE AND USERS SATISFACTION

AN APPROACH TO WIRELESS SCHEDULING CONSIDERING REVENUE AND USERS SATISFACTION The Medterranean Journal of Computers and Networks, Vol. 2, No. 1, 2006 57 AN APPROACH TO WIRELESS SCHEDULING CONSIDERING REVENUE AND USERS SATISFACTION L. Bada 1,*, M. Zorz 2 1 Department of Engneerng,

More information

Chapter 7: Answers to Questions and Problems

Chapter 7: Answers to Questions and Problems 19. Based on the nformaton contaned n Table 7-3 of the text, the food and apparel ndustres are most compettve and therefore probably represent the best match for the expertse of these managers. Chapter

More information

Abteilung für Stadt- und Regionalentwicklung Department of Urban and Regional Development

Abteilung für Stadt- und Regionalentwicklung Department of Urban and Regional Development Abtelung für Stadt- und Regonalentwcklung Department of Urban and Regonal Development Gunther Maer, Alexander Kaufmann The Development of Computer Networks Frst Results from a Mcroeconomc Model SRE-Dscusson

More information

Data Mining from the Information Systems: Performance Indicators at Masaryk University in Brno

Data Mining from the Information Systems: Performance Indicators at Masaryk University in Brno Data Mnng from the Informaton Systems: Performance Indcators at Masaryk Unversty n Brno Mkuláš Bek EUA Workshop Strasbourg, 1-2 December 2006 1 Locaton of Brno Brno EUA Workshop Strasbourg, 1-2 December

More information

Power-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts

Power-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts Power-of-wo Polces for Sngle- Warehouse Mult-Retaler Inventory Systems wth Order Frequency Dscounts José A. Ventura Pennsylvana State Unversty (USA) Yale. Herer echnon Israel Insttute of echnology (Israel)

More information

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt.

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt. Chapter 9 Revew problems 9.1 Interest rate measurement Example 9.1. Fund A accumulates at a smple nterest rate of 10%. Fund B accumulates at a smple dscount rate of 5%. Fnd the pont n tme at whch the forces

More information

Feasibility of Using Discriminate Pricing Schemes for Energy Trading in Smart Grid

Feasibility of Using Discriminate Pricing Schemes for Energy Trading in Smart Grid Feasblty of Usng Dscrmnate Prcng Schemes for Energy Tradng n Smart Grd Wayes Tushar, Chau Yuen, Bo Cha, Davd B. Smth, and H. Vncent Poor Sngapore Unversty of Technology and Desgn, Sngapore 138682. Emal:

More information

On the Complexity of Always Best Connected in 4G Mobile Networks

On the Complexity of Always Best Connected in 4G Mobile Networks On the Complexty of Always Best Connected n 4G Moble etworks Vangels Gazs, kos Houssos, ancy Alonstot, Lazaros Merakos Communcaton etworks Laboratory, Department of Informatcs & Telecommuncatons, Unversty

More information

How To Make A Social Game Work For You

How To Make A Social Game Work For You IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 6, NO. 7, SEPTEMBER 008 95 Managng a Peer-to-Peer Data Storage System n a Selfsh Socety Patrck Mallé and László Toka Abstract We compare two possble

More information

Optimal Pricing for Integrated-Services Networks. with Guaranteed Quality of Service &

Optimal Pricing for Integrated-Services Networks. with Guaranteed Quality of Service & Optmal Prcng for Integrated-Servces Networks wth Guaranteed Qualty of Servce & y Qong Wang * Jon M. Peha^ Marvn A. Sru # Carnege Mellon Unversty Chapter n Internet Economcs, edted y Joseph Baley and Lee

More information

When Network Effect Meets Congestion Effect: Leveraging Social Services for Wireless Services

When Network Effect Meets Congestion Effect: Leveraging Social Services for Wireless Services When Network Effect Meets Congeston Effect: Leveragng Socal Servces for Wreless Servces aowen Gong School of Electrcal, Computer and Energy Engeerng Arzona State Unversty Tempe, AZ 8587, USA xgong9@asuedu

More information

HP Mission-Critical Services

HP Mission-Critical Services HP Msson-Crtcal Servces Delverng busness value to IT Jelena Bratc Zarko Subotc TS Support tm Mart 2012, Podgorca 2010 Hewlett-Packard Development Company, L.P. The nformaton contaned heren s subject to

More information

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedo-cho

More information

Downlink Power Allocation for Multi-class. Wireless Systems

Downlink Power Allocation for Multi-class. Wireless Systems Downlnk Power Allocaton for Mult-class 1 Wreless Systems Jang-Won Lee, Rav R. Mazumdar, and Ness B. Shroff School of Electrcal and Computer Engneerng Purdue Unversty West Lafayette, IN 47907, USA {lee46,

More information

A New Task Scheduling Algorithm Based on Improved Genetic Algorithm

A New Task Scheduling Algorithm Based on Improved Genetic Algorithm A New Task Schedulng Algorthm Based on Improved Genetc Algorthm n Cloud Computng Envronment Congcong Xong, Long Feng, Lxan Chen A New Task Schedulng Algorthm Based on Improved Genetc Algorthm n Cloud Computng

More information

Demand-Side Management for Regulation Service Provisioning through Internal Pricing

Demand-Side Management for Regulation Service Provisioning through Internal Pricing 1 Demand-Sde Management for Regulaton Servce Provsonng through Internal Prcng Ioanns Ch. Paschalds Senor Member IEEE Bnbn L Student Member IEEE and Mchael C. Caramans Member IEEE Abstract We develop a

More information

BANDWIDTH ALLOCATION AND PRICING PROBLEM FOR A DUOPOLY MARKET

BANDWIDTH ALLOCATION AND PRICING PROBLEM FOR A DUOPOLY MARKET Yugoslav Journal of Operatons Research (0), Nuber, 65-78 DOI: 0.98/YJOR0065Y BANDWIDTH ALLOCATION AND PRICING PROBLEM FOR A DUOPOLY MARKET Peng-Sheng YOU Graduate Insttute of Marketng and Logstcs/Transportaton,

More information

How To Trade Water Quality

How To Trade Water Quality Movng Beyond Open Markets for Water Qualty Tradng: The Gans from Structured Blateral Trades Tanl Zhao Yukako Sado Rchard N. Bosvert Gregory L. Poe Cornell Unversty EAERE Preconference on Water Economcs

More information

A FRAMEWORK FOR EFFICIENT BANDWIDTH MANAGEMENT IN BROADBAND WIRELESS ACCESS SYSTEMS

A FRAMEWORK FOR EFFICIENT BANDWIDTH MANAGEMENT IN BROADBAND WIRELESS ACCESS SYSTEMS A FRAMEWORK FOR EFFICIENT BANDWIDTH MANAGEMENT IN BROADBAND WIRELESS ACCESS SYSTEMS BY BADER S. AL-MANTHARI A thess submtted to the School of Computng n conformty wth the requrements for the degree of

More information

Online Procurement Auctions for Resource Pooling in Client-Assisted Cloud Storage Systems

Online Procurement Auctions for Resource Pooling in Client-Assisted Cloud Storage Systems Onlne Procurement Auctons for Resource Poolng n Clent-Asssted Cloud Storage Systems Jan Zhao, Xaowen Chu, Ha Lu, Yu-Wng Leung Department of Computer Scence Hong Kong Baptst Unversty Emal: {janzhao, chxw,

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

Pricing Cloud Bandwidth Reservations under Demand Uncertainty

Pricing Cloud Bandwidth Reservations under Demand Uncertainty Prcng Cloud Bandwdth Reservatons under Demand Uncertanty D Nu, Chen Feng, Baochun L Department of Electrcal and Computer Engneerng Unversty of Toronto {dnu, cfeng, bl}@eecg.toronto.edu ABSTRACT In a publc

More information

The Greedy Method. Introduction. 0/1 Knapsack Problem

The Greedy Method. Introduction. 0/1 Knapsack Problem The Greedy Method Introducton We have completed data structures. We now are gong to look at algorthm desgn methods. Often we are lookng at optmzaton problems whose performance s exponental. For an optmzaton

More information

2008/8. An integrated model for warehouse and inventory planning. Géraldine Strack and Yves Pochet

2008/8. An integrated model for warehouse and inventory planning. Géraldine Strack and Yves Pochet 2008/8 An ntegrated model for warehouse and nventory plannng Géraldne Strack and Yves Pochet CORE Voe du Roman Pays 34 B-1348 Louvan-la-Neuve, Belgum. Tel (32 10) 47 43 04 Fax (32 10) 47 43 01 E-mal: corestat-lbrary@uclouvan.be

More information

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background: SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and

More information

Traffic State Estimation in the Traffic Management Center of Berlin

Traffic State Estimation in the Traffic Management Center of Berlin Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,

More information

Modeling and Analysis of 2D Service Differentiation on e-commerce Servers

Modeling and Analysis of 2D Service Differentiation on e-commerce Servers Modelng and Analyss of D Servce Dfferentaton on e-commerce Servers Xaobo Zhou, Unversty of Colorado, Colorado Sprng, CO zbo@cs.uccs.edu Janbn We and Cheng-Zhong Xu Wayne State Unversty, Detrot, Mchgan

More information

Optimal Call Routing in VoIP

Optimal Call Routing in VoIP Optmal Call Routng n VoIP Costas Courcoubets Department of Computer Scence Athens Unversty of Economcs and Busness 47A Evelpdon Str Athens 11363, GR Emal: courcou@aueb.gr Costas Kalogros Department of

More information

Research Article A Comparative Study of Marketing Channel Multiagent Stackelberg Model Based on Perfect Rationality and Fairness Preference

Research Article A Comparative Study of Marketing Channel Multiagent Stackelberg Model Based on Perfect Rationality and Fairness Preference Hndaw Publshng Corporaton Abstract and Appled Analyss, Artcle ID 57458, 11 pages http://dx.do.org/10.1155/014/57458 Research Artcle A Comparatve Study of Marketng Channel Multagent Stackelberg Model Based

More information

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000 Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from

More information

Managing Cycle Inventories. Matching Supply and Demand

Managing Cycle Inventories. Matching Supply and Demand Managng Cycle Inventores Matchng Supply and Demand 1 Outlne Why to hold cycle nventores? Economes of scale to reduce fxed costs per unt. Jont fxed costs for multple products Long term quantty dscounts

More information

Peer-to-Peer Tangible Goods Rental

Peer-to-Peer Tangible Goods Rental Peer-to-Peer Tangble Goods Rental James A. Hll and Mchael P. Wellman Unversty of Mchgan, Computer Scence & Engneerng, 2260 Hayward St, Ann Arbor, MI 48109-2121, USA {auge,wellman}@umch.edu Abstract. We

More information

Dynamic Online-Advertising Auctions as Stochastic Scheduling

Dynamic Online-Advertising Auctions as Stochastic Scheduling Dynamc Onlne-Advertsng Auctons as Stochastc Schedulng Isha Menache and Asuman Ozdaglar Massachusetts Insttute of Technology {sha,asuman}@mt.edu R. Srkant Unversty of Illnos at Urbana-Champagn rsrkant@llnos.edu

More information

A Lyapunov Optimization Approach to Repeated Stochastic Games

A Lyapunov Optimization Approach to Repeated Stochastic Games PROC. ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING, OCT. 2013 1 A Lyapunov Optmzaton Approach to Repeated Stochastc Games Mchael J. Neely Unversty of Southern Calforna http://www-bcf.usc.edu/

More information

1.1 The University may award Higher Doctorate degrees as specified from time-to-time in UPR AS11 1.

1.1 The University may award Higher Doctorate degrees as specified from time-to-time in UPR AS11 1. HIGHER DOCTORATE DEGREES SUMMARY OF PRINCIPAL CHANGES General changes None Secton 3.2 Refer to text (Amendments to verson 03.0, UPR AS02 are shown n talcs.) 1 INTRODUCTION 1.1 The Unversty may award Hgher

More information

IS-LM Model 1 C' dy = di

IS-LM Model 1 C' dy = di - odel Solow Assumptons - demand rrelevant n long run; assumes economy s operatng at potental GDP; concerned wth growth - Assumptons - supply s rrelevant n short run; assumes economy s operatng below potental

More information

Hedging Interest-Rate Risk with Duration

Hedging Interest-Rate Risk with Duration FIXED-INCOME SECURITIES Chapter 5 Hedgng Interest-Rate Rsk wth Duraton Outlne Prcng and Hedgng Prcng certan cash-flows Interest rate rsk Hedgng prncples Duraton-Based Hedgng Technques Defnton of duraton

More information

Capacity Reservation for Time-Sensitive Service Providers: An Application in Seaport Management

Capacity Reservation for Time-Sensitive Service Providers: An Application in Seaport Management Capacty Reservaton for Tme-Senstve Servce Provders: An Applcaton n Seaport Management L. Jeff Hong Department of Industral Engneerng and Logstcs Management The Hong Kong Unversty of Scence and Technology

More information

Fault tolerance in cloud technologies presented as a service

Fault tolerance in cloud technologies presented as a service Internatonal Scentfc Conference Computer Scence 2015 Pavel Dzhunev, PhD student Fault tolerance n cloud technologes presented as a servce INTRODUCTION Improvements n technques for vrtualzaton and performance

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

An Electricity Trade Model for Microgrid Communities in Smart Grid

An Electricity Trade Model for Microgrid Communities in Smart Grid An Electrcty Trade Model for Mcrogrd Countes n Sart Grd Tansong Cu, Yanzh Wang, Shahn Nazaran and Massoud Pedra Unversty of Southern Calforna Departent of Electrcal Engneerng Los Angeles, CA, USA {tcu,

More information

Outsourcing Service Processes to a Common Service Provider under Price and Time Competition

Outsourcing Service Processes to a Common Service Provider under Price and Time Competition Submtted to manuscrpt (Please, provde the mansucrpt number!) Outsourcng Servce Processes to a Common Servce Provder under Prce and Tme Competton Gad Allon Kellogg School of Management, 2001 Sherdan Road

More information

Optimization Model of Reliable Data Storage in Cloud Environment Using Genetic Algorithm

Optimization Model of Reliable Data Storage in Cloud Environment Using Genetic Algorithm Internatonal Journal of Grd Dstrbuton Computng, pp.175-190 http://dx.do.org/10.14257/gdc.2014.7.6.14 Optmzaton odel of Relable Data Storage n Cloud Envronment Usng Genetc Algorthm Feng Lu 1,2,3, Hatao

More information

M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS

M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS Bogdan Cubotaru, Gabrel-Mro Muntean Performance Engneerng Laboratory, RINCE School of Electronc Engneerng Dubln Cty

More information

Economic Models for Cloud Service Markets Pricing and Capacity Planning

Economic Models for Cloud Service Markets Pricing and Capacity Planning Economc Models for Cloud Servce Markets Prcng and Capacty Plannng Ranjan Pal 1 and Pan Hu 2 1 Unversty of Southern Calforna, USA, rpal@usc.edu 2 Deutsch Telekom Laboratores, Berln, Germany, pan.hu@telekom.de

More information

BUSINESS INTELLIGENCE USING INFORMATION GAP DECISION THEORY AND DATA MINING APPROACH IN COMPETITIVE BIDDING

BUSINESS INTELLIGENCE USING INFORMATION GAP DECISION THEORY AND DATA MINING APPROACH IN COMPETITIVE BIDDING 1 BUSINESS INTELLIGENCE USING INFORMATION GAP DECISION THEORY AND DATA MINING APPROACH IN COMPETITIVE BIDDING Me-Peng Cheong Gerald B. Sheblé Danel Berleant ABSTRACT Snce the nnetes, many electrc utltes

More information

3. Present value of Annuity Problems

3. Present value of Annuity Problems Mathematcs of Fnance The formulae 1. A = P(1 +.n) smple nterest 2. A = P(1 + ) n compound nterest formula 3. A = P(1-.n) deprecaton straght lne 4. A = P(1 ) n compound decrease dmshng balance 5. P = -

More information

Small pots lump sum payment instruction

Small pots lump sum payment instruction For customers Small pots lump sum payment nstructon Please read these notes before completng ths nstructon About ths nstructon Use ths nstructon f you re an ndvdual wth Aegon Retrement Choces Self Invested

More information

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT Chapter 4 ECOOMIC DISATCH AD UIT COMMITMET ITRODUCTIO A power system has several power plants. Each power plant has several generatng unts. At any pont of tme, the total load n the system s met by the

More information

Help is a tou ch of a button away. Telecare - keeping you safe and independent in your own home. i Personal emergency equipment

Help is a tou ch of a button away. Telecare - keeping you safe and independent in your own home. i Personal emergency equipment Help s a tou ch of a button away Telecare - keepng you safe and ndependent n your own home Personal emergency equpment 24/7 moble response - ncludng a dgnty savng lftng servce Professonal support Welcome

More information

MAC Layer Service Time Distribution of a Fixed Priority Real Time Scheduler over 802.11

MAC Layer Service Time Distribution of a Fixed Priority Real Time Scheduler over 802.11 Internatonal Journal of Software Engneerng and Its Applcatons Vol., No., Aprl, 008 MAC Layer Servce Tme Dstrbuton of a Fxed Prorty Real Tme Scheduler over 80. Inès El Korb Ecole Natonale des Scences de

More information

Is Thailand s Fiscal System Pro-Poor?: Looking from Income and Expenditure Components. Hyun Hwa Son

Is Thailand s Fiscal System Pro-Poor?: Looking from Income and Expenditure Components. Hyun Hwa Son Is Thaland s Fscal System Pro-Poor?: Loong from Income and Expendture Components Hyun Hwa Son The World Ban 88 H Street, NW Washngton, D.C. 20433, U.S.A. Emal: hson@worldban.org Abstract: Ths paper develops

More information

Fair Virtual Bandwidth Allocation Model in Virtual Data Centers

Fair Virtual Bandwidth Allocation Model in Virtual Data Centers Far Vrtual Bandwdth Allocaton Model n Vrtual Data Centers Yng Yuan, Cu-rong Wang, Cong Wang School of Informaton Scence and Engneerng ortheastern Unversty Shenyang, Chna School of Computer and Communcaton

More information

Economic-Robust Transmission Opportunity Auction in Multi-hop Wireless Networks

Economic-Robust Transmission Opportunity Auction in Multi-hop Wireless Networks Economc-Robust Transmsson Opportunty Aucton n Mult-hop Wreless Networks Mng L, Pan L, Mao Pan, and Jnyuan Sun Department of Electrcal and Computer Engneerng, Msssspp State Unversty, Msssspp State, MS 39762

More information

HowHow to Choose a Good Stock Broker For 2010

HowHow to Choose a Good Stock Broker For 2010 On A Way to Improve Cyber-Insurer Profts When a Securty Vendor Becomes the Cyber-Insurer Ranan Pal Unversty of Southern Calforna Emal: rpal@uscedu Leana Golubchk Konstantnos Psouns Unversty of Southern

More information

Section 5.3 Annuities, Future Value, and Sinking Funds

Section 5.3 Annuities, Future Value, and Sinking Funds Secton 5.3 Annutes, Future Value, and Snkng Funds Ordnary Annutes A sequence of equal payments made at equal perods of tme s called an annuty. The tme between payments s the payment perod, and the tme

More information

Research on Privacy Protection Approach for Cloud Computing Environments

Research on Privacy Protection Approach for Cloud Computing Environments , pp. 113-120 http://dx.do.org/10.14257/jsa.2015.9.3.11 Research on Prvacy Protecton Approach for Cloud Computng Envronments Xaohu L 1,2, Hongxng Lang 3 and Dan Ja 1 1 College of Electrcal and Informaton

More information

Dynamic Pricing for Smart Grid with Reinforcement Learning

Dynamic Pricing for Smart Grid with Reinforcement Learning Dynamc Prcng for Smart Grd wth Renforcement Learnng Byung-Gook Km, Yu Zhang, Mhaela van der Schaar, and Jang-Won Lee Samsung Electroncs, Suwon, Korea Department of Electrcal Engneerng, UCLA, Los Angeles,

More information

VoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays

VoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays VoIP Playout Buffer Adjustment usng Adaptve Estmaton of Network Delays Mroslaw Narbutt and Lam Murphy* Department of Computer Scence Unversty College Dubln, Belfeld, Dubln, IRELAND Abstract The poor qualty

More information

Hosting Virtual Machines on Distributed Datacenters

Hosting Virtual Machines on Distributed Datacenters Hostng Vrtual Machnes on Dstrbuted Datacenters Chuan Pham Scence and Engneerng, KyungHee Unversty, Korea pchuan@khu.ac.kr Jae Hyeok Son Scence and Engneerng, KyungHee Unversty, Korea sonaehyeok@khu.ac.kr

More information

The literature on many-server approximations provides significant simplifications toward the optimal capacity

The literature on many-server approximations provides significant simplifications toward the optimal capacity Publshed onlne ahead of prnt November 13, 2009 Copyrght: INFORMS holds copyrght to ths Artcles n Advance verson, whch s made avalable to nsttutonal subscrbers. The fle may not be posted on any other webste,

More information

Robert Wilson for their comments on the a predecessor version of this paper.

Robert Wilson for their comments on the a predecessor version of this paper. Procurng Unversal Telephone ervce Paul Mlgrom 1 tanford Unversty, August, 1997 Reprnted from 1997 Industry Economcs Conference Proceedngs, AGP Canberra Introducton One of the hallmarks of modern socety

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

Cooperative Load Balancing in IEEE 802.11 Networks with Cell Breathing

Cooperative Load Balancing in IEEE 802.11 Networks with Cell Breathing Cooperatve Load Balancng n IEEE 82.11 Networks wth Cell Breathng Eduard Garca Rafael Vdal Josep Paradells Wreless Networks Group - Techncal Unversty of Catalona (UPC) {eduardg, rvdal, teljpa}@entel.upc.edu;

More information

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On the Optimal Control of a Cascade of Hydro-Electric Power Stations On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;

More information

Cross-Selling in a Call Center with a Heterogeneous Customer Population

Cross-Selling in a Call Center with a Heterogeneous Customer Population OPERATIONS RESEARCH Vol. 57, No. 2, March Aprl 29, pp. 299 313 ssn 3-364X essn 1526-5463 9 572 299 nforms do 1.1287/opre.18.568 29 INFORMS Cross-Sellng n a Call Center wth a Heterogeneous Customer Populaton

More information

Price Setting in Two-sided Markets for Internet Connectivity

Price Setting in Two-sided Markets for Internet Connectivity Prce Settng n Two-sded Markets for Internet Connectvty Thorsten Hau 1 and Walter Brenner 1 1 Insttute of Informaton Management, Unversty of St. Gallen Müller-Fredberg-Strasse 8, CH-9000 St. Gallen, Swtzerland

More information

Safety instructions VEGAVIB VB6*.GI*******

Safety instructions VEGAVIB VB6*.GI******* Safety nstructons VEGAVIB VB6*.GI******* Kosha 14-AV4BO-0107 Ex td A20, A20/21, A21 IP66 T** 0044 Document ID: 48578 Contents 1 Area of applcablty... 3 2 General nformaton... 3 3 Techncal data... 3 4 Applcaton

More information

Reinforcement Learning for Quality of Service in Mobile Ad Hoc Network (MANET)

Reinforcement Learning for Quality of Service in Mobile Ad Hoc Network (MANET) Renforcement Learnng for Qualty of Servce n Moble Ad Hoc Network (MANET) *T.KUMANAN AND **K.DURAISWAMY *Meenaksh College of Engneerng West K.K Nagar, Cheena-78 **Dean/academc,K.S.R College of Technology,Truchengode

More information

Hosted Voice Self Service Installation Guide

Hosted Voice Self Service Installation Guide Hosted Voce Self Servce Installaton Gude Contact us at 1-877-355-1501 learnmore@elnk.com www.earthlnk.com 2015 EarthLnk. Trademarks are property of ther respectve owners. All rghts reserved. 1071-07629

More information

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP)

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP) 6.3 / -- Communcaton Networks II (Görg) SS20 -- www.comnets.un-bremen.de Communcaton Networks II Contents. Fundamentals of probablty theory 2. Emergence of communcaton traffc 3. Stochastc & Markovan Processes

More information

Abstract. Abstract...1. 1. Introduction... 2 2. Two Models... 2 2.1. Classic Optimal Lot Size (OLS) Model 2 2.2. Monopolistic Competition 3

Abstract. Abstract...1. 1. Introduction... 2 2. Two Models... 2 2.1. Classic Optimal Lot Size (OLS) Model 2 2.2. Monopolistic Competition 3 Optmal Lot Sze, Inventores, Prces and JIT Under Monopolstc Competton * Mchael C. Lovell Wesleyan Unversty, Mddletown, CT Mlovell@Wesleyan.edu May 17, 2000 [Prelmnary Draft] Abstract Ths paper attempts

More information

17 Capital tax competition

17 Capital tax competition 17 Captal tax competton 17.1 Introducton Governments would lke to tax a varety of transactons that ncreasngly appear to be moble across jursdctonal boundares. Ths creates one obvous problem: tax base flght.

More information

INVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS

INVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS 21 22 September 2007, BULGARIA 119 Proceedngs of the Internatonal Conference on Informaton Technologes (InfoTech-2007) 21 st 22 nd September 2007, Bulgara vol. 2 INVESTIGATION OF VEHICULAR USERS FAIRNESS

More information

Introduction CONTENT. - Whitepaper -

Introduction CONTENT. - Whitepaper - OneCl oud ForAl l YourCr t c al Bus nes sappl c at ons Bl uew r esol ut ons www. bl uew r e. c o. uk Introducton Bluewre Cloud s a fully customsable IaaS cloud platform desgned for organsatons who want

More information

Methodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications

Methodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications Methodology to Determne Relatonshps between Performance Factors n Hadoop Cloud Computng Applcatons Lus Eduardo Bautsta Vllalpando 1,2, Alan Aprl 1 and Alan Abran 1 1 Department of Software Engneerng and

More information

A Novel Auction Mechanism for Selling Time-Sensitive E-Services

A Novel Auction Mechanism for Selling Time-Sensitive E-Services A ovel Aucton Mechansm for Sellng Tme-Senstve E-Servces Juong-Sk Lee and Boleslaw K. Szymansk Optmaret Inc. and Department of Computer Scence Rensselaer Polytechnc Insttute 110 8 th Street, Troy, Y 12180,

More information

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network *

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network * JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 24, 819-840 (2008) Data Broadcast on a Mult-System Heterogeneous Overlayed Wreless Network * Department of Computer Scence Natonal Chao Tung Unversty Hsnchu,

More information

Flexible Distributed Capacity Allocation and Load Redirect Algorithms for Cloud Systems

Flexible Distributed Capacity Allocation and Load Redirect Algorithms for Cloud Systems 2011 IEEE 4th Internatonal Conference on Cloud Computng Flexble Dstrbuted Capacty Allocaton and Load Redrect Algorthms for Cloud Systems Danlo Ardagna, Sara Casolar, Barbara Pancucc Poltecnco d Mlano,

More information

Lecture 3: Force of Interest, Real Interest Rate, Annuity

Lecture 3: Force of Interest, Real Interest Rate, Annuity Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and

More information

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and Ths artcle appeared n a ournal publshed by Elsever. The attached copy s furnshed to the author for nternal non-commercal research educaton use, ncludng for nstructon at the authors nsttuton sharng wth

More information

Equlbra Exst and Trade S effcent proportionally

Equlbra Exst and Trade S effcent proportionally On Compettve Nonlnear Prcng Andrea Attar Thomas Marott Franços Salané February 27, 2013 Abstract A buyer of a dvsble good faces several dentcal sellers. The buyer s preferences are her prvate nformaton,

More information

Oservce Vs. Sannet - Which One is Better?

Oservce Vs. Sannet - Which One is Better? o rcng n Compettve Telephony Markets Yung-Mng L nsttute of nformaton Management Natonal Chao Tung Unversty, Tawan 886-3-57111 Ext 57414 yml@mal.nctu.edu.tw Shh-Wen Chu nsttute of nformaton Management Natonal

More information

Fragility Based Rehabilitation Decision Analysis

Fragility Based Rehabilitation Decision Analysis .171. Fraglty Based Rehabltaton Decson Analyss Cagdas Kafal Graduate Student, School of Cvl and Envronmental Engneerng, Cornell Unversty Research Supervsor: rcea Grgoru, Professor Summary A method s presented

More information

Multi-Source Video Multicast in Peer-to-Peer Networks

Multi-Source Video Multicast in Peer-to-Peer Networks ult-source Vdeo ultcast n Peer-to-Peer Networks Francsco de Asís López-Fuentes*, Eckehard Stenbach Technsche Unverstät ünchen Insttute of Communcaton Networks, eda Technology Group 80333 ünchen, Germany

More information