Agner Krarup Erlang (1878 − 1929)
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Traffic Engineering Techniques in Telecommunications By: Richard Parkinson
Traffic Engineering Techniques in Telecommunications by: Richard Parkinson Introduction: The use of mathematical modeling to predict line, equipment, and staff capacities for telephone systems is an accepted technique for fine-tuning existing systems, as well as designing new ones. Through sensitivity analysis, such predictions can also provide a comprehensive overview of a particular design. Most available literature on traffic engineering either concentrates on obscure and complicated calculations, or alludes to formulas, but does not include them. This paper defines relevant terms, and discusses the most commonly used formulas and their applications. A knowledge of secondary school mathematics is sufficient to do the calculations in this paper. Traffic engineering techniques are used most often to determine: • Line and trunk quantities required for a PBX or computer • Number of DTMF (Dual Tone Multi-frequency) registers, conference trunks, RAN (Recorded Announcement Route) trunks, etc. required • Traffic capacity of a PBX, given the number of speech paths (simultaneous conversations) available • Quantities, service levels, and usage of such special service trunks as foreign exchange (FX), discounted toll trunks, and tie trunks (leased lines between PBXs • Operator staffing levels and performance predictions as well as the impact of system change on staff quantities • Automatic call distributor (ACD) staffing and service levels Terminology: The terms used in traffic engineering are standard telecommunications usage. The following brief glossary lists those terms needed to understand the formulas presented in this paper. © Copyright INFOTEL SYSTEMS CORP.. 1 Arrival Rate: - The arrival rate is the number of calls that will arrive at a facility during a finite time period. The Greek letter lambda () is generally used to represent arrival rate. -
An Introduction to Erlang B and Erlang C
6 Telemanagement #187 that actually works — uses mathematical An Introduction to formulas that form the basis of the disci- pline called “traffi c engineering.” Some Erlang B and Erlang C of them are easy for anyone to use; others require expert support, or at least special- If you make decisions about networks, PBXs, ized software. If you make confi guration or call centres, you must understand these concepts decisions about networks, PBXs, or call centres, you must understand the basic IAN ANGUS concepts involved, whether or not you plan to do the calculations yourself. “Hey, it’s simple arithmetic! We get 3,200 calls And then they will bunch up during that Basic Concepts a day. That’s 400 calls an hour. Each call lasts hour, leading to times when the phones Until recently, anyone using traffi c engi- three minutes, so each person can handle 20 are going crazy and times when many neering techniques had to either master calls an hour. So we’ll need 20 incoming lines lines are free. the mathematics, or learn to use thick and 20 people to answer the phones.” Then you have to take into consid- books of tables based on them. Personal Does that sound familiar? eration the fact that no one can handle computers changed all that, fi rst by Many telephone and call centre deci- 20 three-minute calls every hour without making traffi c programs widely afford- sions are made using just that logic. It’s burning out, and that there is usually post- able, and now by making them available simple, and it’s clear — and it’s absolutely call work to do in addition to talking to on the Internet. -
Introduction to Queueing Theory and Stochastic Teletraffic Models
Introduction to Queueing Theory and Stochastic Teletraffic Models Moshe Zukerman EE Department City University of Hong Kong email: [email protected] Copyright M. Zukerman c 2000–2020. This book can be used for educational and research purposes under the condition that it (including this first page) is not modified in any way. Preface The aim of this textbook is to provide students with basic knowledge of stochastic models with a special focus on queueing models, that may apply to telecommunications topics, such as traffic modelling, performance evaluation, resource provisioning and traffic management. These topics are included in a field called teletraffic. This book assumes prior knowledge of a programming language and mathematics normally taught in an electrical engineering bachelor program. The book aims to enhance intuitive and physical understanding of the theoretical concepts it introduces. The famous mathematician Pierre-Simon Laplace is quoted to say that “Probability is common sense reduced to calculation” [18]; as the content of this book falls under the field of applied probability, Laplace’s quote very much applies. Accordingly, the book aims to link intuition and common sense to the mathematical models and techniques it uses. It mainly focuses on steady-state analyses and avoids discussions of time-dependent analyses. arXiv:1307.2968v23 [math.PR] 21 Feb 2020 A unique feature of this book is the considerable attention given to guided homework assign- ments involving computer simulations and analyzes. By successfully completing these assign- ments, students learn to simulate and analyze stochastic models, such as queueing systems and networks, and by interpreting the results, they gain insight into the queueing performance effects and principles of telecommunications systems modelling. -
Karl Pearson and the Scandinavian School of Statistics Peter Guttorp
Karl Pearson and the Scandinavian School of Statistics Peter Guttorp and Georg Lindgren University of Washington and Lund University Abstract The relationship between Karl Pearson and the Scandinavian statisticians was more of a competitive than a collaborative nature. We describe the leading statisticians and stochasticists of the Scandinavian school, and relate some of their work to the work of Pearson. KEY WORDS: Optimal design, genetics, survey sampling, Gram-Charlier series, jump process, telephone theory. 1. Karl Pearson and Scandinavia Karl Pearson was infatuated with the Norwegian landscape (Porter (2004)). He went there on his honeymoon, and he learned enough Norwegian (from a Swedish family friend) to be able to read Ibsen in original. However, we have found no connections with Norwegian statisticians. On the other hand, there are several connections to Danish workers. For example, Harald Ludvig Westergaard (1853-1936), a professor of political science at the University of Copenhagen, visited University College in 1925 and gave two lectures on vital statistics. At the time, Pearson gave a formal dinner for the visitor, and commented on how well organized Westergaard’s statistical laboratory was (Porter (2004) p. 290). Westergaard responded by being one of the speakers at Pearson’s retirement dinner (Westergaard (1934)). In terms of their main areas of research, it seems to mainly overlap in terms of the history of statistics (e.g. Westergaard (1932), Pearson (1978)). Westergaard argued in his 1890 text that one should be able to divide any statistical material up into subgroups that are normally distributed, while Pearson of course used his system of curves to graduate data sets. -
Spojovací Soustavy “ Pro Studenty Katedry Elektroniky a Telekomunikační Techniky
Vozňák M., FEI, VŠB-TUO SSppoojjoovvaaccíí ssoouussttaavvyy ppřřeeddnnáášškkaa čč..66.. Studijní podklady k předmětu „ Spojovací soustavy “ pro studenty katedry elektroniky a telekomunikační techniky Spojovací soustavy , verze 1.2 Strana 1 [email protected] Leden, 2002 Vozňák M., FEI, VŠB-TUO Obsah Obsah................................................................................................................2 9. Teorie provozního zatížení............................................................................3 9.1. Modely provozního zatížení:...................................................................4 9.2. Erlangovy rovnice. ..................................................................................5 9.3 Engsetova a Poissonova rovnice, použití modelů. ..................................7 9.4. Agner Krarup Erlang ..............................................................................8 Spojovací soustavy , verze 1.2 Strana 2 [email protected] Leden, 2002 Vozňák M., FEI, VŠB-TUO 9. Teorie provozního zatížení Zakladatelem je dánský vědec A.K.Erlang (1878 – 1920), je jednou ze skupin systému hromadné obsluhy. Matematický model systému rozdělování informací se skládá ze třech základních částí: vstupní tok volání (požadavky na obsluhu) schéma systému rozdělování informací obsluha toku volání Charakteristika způsobu obsluhy zatížení: se ztrátami s čekacími dobami kombinovaná obsluha zdroj zatížení: generuje zatížení (nabízené zatížení A), systém hromadné obsluhy zpracovává požadavky zdrojů, obsloužné -
Traffic Engineering Techniques in Telecommunications By: Richard Parkinson
Traffic Engineering Techniques in Telecommunications by: Richard Parkinson Introduction: The use of mathematical modeling to predict line, equipment, and staff capacities for telephone systems is an accepted technique for fine-tuning existing systems, as well as designing new ones. Through sensitivity analysis, such predictions can also provide a comprehensive overview of a particular design. Most available literature on traffic engineering either concentrates on obscure and complicated calculations, or alludes to formulas, but does not include them. This paper defines relevant terms, and discusses the most commonly used formulas and their applications. A knowledge of secondary school mathematics is sufficient to do the calculations in this paper. Traffic engineering techniques are used most often to determine: • Line and trunk quantities required for a PBX or computer • Number of DTMF (Dual Tone Multi-frequency) registers, conference trunks, RAN (Recorded Announcement Route) trunks, etc. required • Traffic capacity of a PBX, given the number of speech paths (simultaneous conversations) available • Quantities, service levels, and usage of such special service trunks as foreign exchange (FX), discounted toll trunks, and tie trunks (leased lines between PBXs • Operator staffing levels and performance predictions as well as the impact of system change on staff quantities • Automatic call distributor (ACD) staffing and service levels Terminology: The terms used in traffic engineering are standard telecommunications usage. The following brief glossary lists those terms needed to understand the formulas presented in this paper. © Copyright INFOTEL SYSTEMS CORP.. 1 Arrival Rate: - The arrival rate is the number of calls that will arrive at a facility during a finite time period. The Greek letter lambda () is generally used to represent arrival rate.