Academic Institution Telecommunication Infrastructure Development

The problem of the software choice and the hardware solutions, the creation principles and application services of the scientific and educational academic institutions environment in condition of the basic developing, the information communication technology innovation and general globalization is s...

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Дата:2015
Автор: Antoniuk, Y.M.
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Опубліковано: Міжнародний науково-навчальний центр інформаційних технологій і систем НАН та МОН України 2015
Назва видання:Управляющие системы и машины
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Цитувати:Academic Institution Telecommunication Infrastructure Development / Y.M. Antoniuk // Управляющие системы и машины. — 2015. — № 5. — С. 45–51, 78. — Бібліогр.: 10 назв. — англ.

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spelling irk-123456789-1125402017-01-23T03:03:47Z Academic Institution Telecommunication Infrastructure Development Antoniuk, Y.M. Информационные и коммуникационные среды The problem of the software choice and the hardware solutions, the creation principles and application services of the scientific and educational academic institutions environment in condition of the basic developing, the information communication technology innovation and general globalization is scrutinized. Based on the technological standards analysis that apply to the telecommunications infrastructure and network management centers, the recommendations for the network control center creation, in particular, the basic computer telecommunication center are described. Розглянуто задачу вибору програмно-технічних рішень, принципів створення і застосування сервісів науково-освітнього простору академічної установи в умовах розвитку базових і перспективних комунікаційних та інформаційних технологій і загальної глобалізації. На основі аналізу технологічних стандартів, які застосовуються в телекомунікаційних структурах і центрах управління мережами описано формування рекомендацій щодо створення центру управління мережами, зокрема, базового комп'ютерного телекомунікаційного вузла. Рассмотрена задача выбора программно-технических решений, принципов создания и применения сервисов научно-образовательного пространства академического учреждения в условиях развития базовых и перспективных коммуникационных и информационных технологий и общей глобализации. На основе анализа технологических стандартов, применяемых в телекоммуникационных структурах и центрах управления сетями, описано формирование рекомендаций по созданию центра управления сетями, в частности, базового компьютерного телекоммуникационного узла. 2015 Article Academic Institution Telecommunication Infrastructure Development / Y.M. Antoniuk // Управляющие системы и машины. — 2015. — № 5. — С. 45–51, 78. — Бібліогр.: 10 назв. — англ. 0130-5395 http://dspace.nbuv.gov.ua/handle/123456789/112540 621.39 en Управляющие системы и машины Міжнародний науково-навчальний центр інформаційних технологій і систем НАН та МОН України
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection DSpace DC
language English
topic Информационные и коммуникационные среды
Информационные и коммуникационные среды
spellingShingle Информационные и коммуникационные среды
Информационные и коммуникационные среды
Antoniuk, Y.M.
Academic Institution Telecommunication Infrastructure Development
Управляющие системы и машины
description The problem of the software choice and the hardware solutions, the creation principles and application services of the scientific and educational academic institutions environment in condition of the basic developing, the information communication technology innovation and general globalization is scrutinized. Based on the technological standards analysis that apply to the telecommunications infrastructure and network management centers, the recommendations for the network control center creation, in particular, the basic computer telecommunication center are described.
format Article
author Antoniuk, Y.M.
author_facet Antoniuk, Y.M.
author_sort Antoniuk, Y.M.
title Academic Institution Telecommunication Infrastructure Development
title_short Academic Institution Telecommunication Infrastructure Development
title_full Academic Institution Telecommunication Infrastructure Development
title_fullStr Academic Institution Telecommunication Infrastructure Development
title_full_unstemmed Academic Institution Telecommunication Infrastructure Development
title_sort academic institution telecommunication infrastructure development
publisher Міжнародний науково-навчальний центр інформаційних технологій і систем НАН та МОН України
publishDate 2015
topic_facet Информационные и коммуникационные среды
url http://dspace.nbuv.gov.ua/handle/123456789/112540
citation_txt Academic Institution Telecommunication Infrastructure Development / Y.M. Antoniuk // Управляющие системы и машины. — 2015. — № 5. — С. 45–51, 78. — Бібліогр.: 10 назв. — англ.
series Управляющие системы и машины
work_keys_str_mv AT antoniukym academicinstitutiontelecommunicationinfrastructuredevelopment
first_indexed 2025-07-08T04:05:27Z
last_indexed 2025-07-08T04:05:27Z
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fulltext УСиМ, 2015, № 5 45 Информационные и коммуникационные среды УДК 621.39 Y.M. Antoniuk Academic Institution Telecommunication Infrastructure Development Рассмотрена задача выбора программно-технических решений, принципов создания и применения сервисов научно-образова- тельного пространства академического учреждения в условиях развития базовых и перспективных коммуникационных и ин- формационных технологий и общей глобализации. На основе анализа технологических стандартов, применяемых в телеком- муникационных структурах и центрах управления сетями, описано формирование рекомендаций по созданию центра управ- ления сетями, в частности, базового компьютерного телекоммуникационного узла. Ключевые слова: информационные технологии, интеллектуальные информационные технологии, облачные вычисления, рас- пределенные вычислительные ресурсы, адаптивная эластичность, сервис по требованию, сервисная модель, частное облако. The problem of the software choice and the hardware solutions, the creation principles and application services of the scientific and educational academic institutions environment in condition of the basic developing, the information communication technology innova- tion and general globalization is scrutinized. Based on the technological standards analysis that apply to the telecommunications infra- structure and network management centers, the recommendations for the network control center creation, in particular, the basic com- puter telecommunication center are described. Keywords: information technologies, intellectual information technologies, cloud computing, distributed computing resource, rapid elasticity, on-demand self-service, service model, private cloud. Розглянуто задачу вибору програмно-технічних рішень, принципів створення і застосування сервісів науково-освітнього простору академічної установи в умовах розвитку базових і перспективних комунікаційних та інформаційних технологій і загальної глобаліза- ції. На основі аналізу технологічних стандартів, які застосовуються в телекомунікаційних структурах і центрах управління мережами описано формування рекомендацій щодо створення центру управління мережами, зокрема, базового комп'ютерного телекомуніка- ційного вузла. Ключові слова: Інформаційні технології, інтелектуальні інформаційні технології, хмарні обчислення, розподілені обчислюва- льні ресурси, адаптивна еластичність, сервіс за вимогою, сервісна модель, випадкова (частное) хмара. Problem statement. Now days we can observe the number of questions which are associated with the global development hard/software and tech- nologies: the campus and corporate telecommuni- cation computer network infrastructure (TCI), the research and training centers, the scientific and educational environment; shared the computing systems [1]. This different directions are com- bined around the problem of choosing the equip- ment and technologies of the education and sci- ence environment. In the article we describe the methods and recommendations for networks coor- dination center forming and particularly BCTN. Introduction The solution of the problem, which is describes, is based on the analogies of clouds services group- ing technologies with perspective BCTN service clouds creation. It is necessary to consider: the glo- bal modeling TCI problems, the theoretical appro- aches and the practical rules of simulation models TCI segments, the parameters and criteria for crea- tion the models in TCI science and educational envi- ronment (SEE) [5], the organization principles of gateways structures, the leased servers and the glo- bal BCTN model. It is also necessary to pay atten- tion to the system control methods and monitor the status of TCI BCTN SEE with QoS criteria [2, 3]. SEE operation is necessary for the work of the traditional universities, science institutions and other components of education and science struc- ture [5, 6]. Problem of TCI assembly as a compo- nent of SEE is viewed as analogy task of assembly TCI cooperatives campus network. When we talk about campus [7], we consider it as the group of compact located buildings, for ex- ample: the industrial enterprises, educational insti- tutes, university campus. Consequently, corporate campus is the Internet – distributed structure, which integrates the mentioned components. For creation united SEE in enterprise with dis- tributed corporate-campus TCI it is necessary to integrate the bone TCI. The modern computing 46 УСиМ, 2015, № 5 technologies brings the following possibilities for SEE users:  multimedia attachments supporting;  wideband attachments supporting (multipoint videoconference, video monitoring systems, etc.);  dynamic management of band width for tra- ditional established networks;  supporting the actual program versions for any provided protocols in traditional local networks;  users and departments unification\division to local subnetworks by territorial basis;  users and departments unification\division which are involved in the common business prob- lems to virtual networks with control and access permissions to common resources;  creation of specialized information centers (IC), which operate with users and groups data and stor- age this date. Such IC provides all types LAN\WAN access to own resources;  easy connection and authorization procedure for new segments TCI without necessaries to re- building or reconstruction present TCI;  hi-level performance and replication ability TCI, which provide growing users requirements with considering personal bandwidth for each user;  urgently resumption TCI after collisions or crash;  low labor costs for TCI installation and service;  hi reliability level of TCI functioning. There are three hierarchy levels in classical SEE TCI [7]:  core;  distribution;  access. Such approaches to TCI scalability allow the possibilities to: – standard equipment choosing; – network segment determination; – the most exactly formulation function requi- rements for specific TCI. The main aim in the article is to determine the main BCTN characteristics, tasks and components, which correspondence to the main interconnection level in SEE TCI. 1. Core level (CL) – backbone level. CL – net- work core is the central part of a TCI that provides the main trunks to customers who are connected by the access network and distributed networks. For supporting functioning of network core the one must have the next properties:  hi-level reliability, which is obtained, in par- ticularly, via equipment and software redundancy, which provide TCI operability after collisions;  ability to adapt to changes in TCI environment;  short delay data transfer;  a good manageability and predictable per- formance. 2. Distribution level (DL). The level solves the problem access to different network part and various services. For DL the next functions are typical:  safety politics  information resources access politics;  QoS management;  quality of data transfer environment;  logical routing;  multimedia domain determination e.t.c. 3. Access level (AL). AL provids access to corporate resources for workgroups and network segments. In local networks AL is characterized by commutation or distribution users access to data transfer environment. Obviously, that LAN future depends on the de- veloping of Ethernet technologies versions (1G Ethernet, 10G Ethernet) [7]. These technologies are the most used standards in campus network structures. These technologies provide:  effective hi speed data exchanging;  low cost of network design;  simple and convenient practice realization;  compatibility with all known types software application including multimedia. Modern soft and hardware means solving the following main problems of TCI SEE management:  crash and collisions control in manageable pc and manageable devices, detecting the collisions and automatic addressing the causes, correcting their consequences, prevent crashes, for example by diagnostic operation;  pc and network devices configuration man- agement, in particularly, the initialization, recon- figuration and hotswitching manageable comput- ing devices; УСиМ, 2015, № 5 47  network resources management by users or workgroups, for example, adjustment disk quotas, etc.;  network performance devices management and services management by collecting and analysis of statistic of intensity appearing errors, artificial de- termine performance level by ones data analyse;  data protection management by access con- trol to prevent the network resources safety poli- tics and by administrator’s alert system warning. Software and hardware complex BCTN is an ex- ample of the management tools and the campus and corporate SEE TCI adaptation. BCTN logic model consists of the common service module sets which correspond to the list of hi level TCP/IP stack (VoIP, NAS, DNS, SMTP, HTTP, etc.). One set provides two service lines – internal and external. Access to these services lines is provided through the secure connection from the campus, terminal, tunnels, ter- minals or virtual AL channels (Fig. 1). To provide BCTN servers functioning, it is recommended to installation clear OS Unix fam- ily's. For example FreeBSD or Linux, which in- clude the open sources service programmes. Let us notice, that determining and harmoniza- tion of the TCI components makes possible to compose the imitation models for the next formal- ization. It allows to approve the ways to optimize the present TCI. TCI intends for granting the telecommunication, information, computing services taking into ac- count QoS which obtains the network users on personal computers, network segments and other network components that integrate in network en- vironment. The terminal access and the total control BCTN is provided by the complex management and current production jobs from any remote internet point or a point which belongs to TCI. The remote access is provided by the standard network technologies and the protocols that are used for science, educational and others specialized net segments interconnection. In general, SEE provides the possibilities of accessing to the computing resources, libraries, Fig. 1. Logical model, which describes the interconnection between BCTN SEE TCI architecture elements 48 УСиМ, 2015, № 5 references, artificial services, service clouds and other common information sources, program data handlers, chats, VoIp conference, communication tools and wide shared tools which are used in global network. Such structure involves the mechanisms of dis- patching and sharing with the network subscribers, users, user groups from SEE TCI or any other internet point. Here we will define the network subscribers, such as:  pc of separate users, which are directly plug- ged into SEE TCI;  gateway server stations for network segments;  devices and servers that have the function to support the other network subscribers or segments in autonomous or manually mode. In accordance to the hierarchically levels here we can define the base elements of TCI as a whole: – BCTN – the program complex and technical set which includes the server stations and commu- nication devices; – supporting-control network – the network control screens and the telecommunication struc- ture which is based on the program complex and technical set; – users network – telecommunication structure, which unite under the departments the local net- works users pc, and through the gateways estab- lish the interconnection with supporting-control network and BCTN. The concentration of function technological load- ing of SEE on single server station, on one side, solve a very important problem of centralizing the resources, network channels and users network management, from other side, such architecture de- termines the set of problems which are connected with the service coordination of BCTN and TCI SEE as a whole (Fig. 2). The tendency of the loading concentration function on the united servers block (SB) deter- mines the next stepped perspectives [8–10]. 1. It is provided some set of service functions S : {S1, S2,, Sn} which availability depends on:  parameters of the matching programs p : {p1, p2,, pm};  parameters of the network channels loading c : {c1, c2,, ck};  the hardware and system resources r : {r1, r2,, rl}, which restrict the fixed computer station potential. Then function W = F(S, p, r) characterizes the total condition of server station and connections the channels c : {c1, c2,, ck}. In situation when i n j j rr  1 then it means that there will be a moment when the system resources will be exhausted and the server block will stop providing the services for users. SB will stop that service which will cause the resource overloading or full services set. It depends of situation. 2. Interdependence of the set services (in the fault situation with one of this services) causes the stopping of one or full set of services It depends on the stopped services set. The TCI is damaged as a whole when the value of the totality parameters (S, p, r) deviates from the values which fits the whole system state. There are some values of the total parameters (S, p, r) when function W responses the satisfac- tion state of the server stations set. Then the next problems appeare:  to determine the stable range of function W ;  to study the dynamic and tendency of the changing function values and to gather the fore- cast about the outing function W from the stable range. To evaluate the function W = F(S, p, r) and de- termine the stable range for this function it is nec- essary to introduce quantity characteristic of the values (S, p, r) , and to specify their nature. Characteristics r : {r1, r2,, rl} are the set of components, which constitute the hardware plat- form physical base of the server station ‘i’. Here we can see the examples and its parameters:  CPU – processor frequency, caсhe, perform- ance;  system board – bit rate, chipset type;  RAM – capacity, frequency, architecture type;  HDD – capacity, input/output bitrate; УСиМ, 2015, № 5 49  network interface – specifications of network standard, data transfer rate etc. Characteristics c : {c1, c2,, ck} determine the quantity network channels and the specifications:  the main network channels quantity;  the total network channels quantity;  traffic capacity etc. Characteristics p : {p1, p2,, pm} are the set of the components, which form the software complex providing the server station ‘i’ and their evalua- tions:  operation system type – each OS has its own performance coefficient, which reflects the time of reaction for fixed software applications set, de- pending on their requirements;  set of the software products, which provides the necessary service – coefficient which reflects the efficiency, pause duration in the query pro- cessing, OS resources loading, hardware resources loading and the type of the supporting platform. Thus, the parameters help to determine the func- tion W and to make the server station behavior fore- cast comparing the W values in determined times periods, then:  value W t   – will demonstrate the function deviation speed from some base state (in out of request conditions)  values W p   , W c   , W r   – will character- ize the function deviation speed from the base state using the appropriate parameters. 3. Such approach to formalization loading function of the server station (see point 1) is the reason to study the problem of the optimal infor- mation loading finding. Fig. 2. Logical model TCI SEE 50 УСиМ, 2015, № 5 The server station S, which provides n network process Pn, uses the resources R : {r1, r2,, rl}   {c1, c2,, ck}. The resource consumption Ri to provide the process Pj represents some function: ija = ),( ijij crf . Assume, that the vector 1 2( , , , )k k k k nX x x x  defines how many and which process is used by the client k. For n process: 1 1 2 2 1 1 1 1 1 . m m m n m k k k k i i in n ij j i i i j i a x a x a x a x                  Quantity of the resource i which is consumed by client k: 1 1 2 2 1 . n k k k k i i in n ij j j a x a x a x a x          Taking in to account i n j k jij bxa  1 and vector X we can determine the combinations where re- source Ri reaches the limit value and we can build the domain of the client definition. Thus, in this representation, the question of ser- vice delivery to client k with determined QoS be- comes the equivalent to question of combinations calculation, when the client belongs to the domain of the definition under the given constraints. 4. Based on the above mentioned arguments, the problems of administration, interconnected services, security and safety tasks, another prob- lem of architecture synthesis with the optimal placement of the telecommunication complex ser- vices set arises. Its solving must be based on the reserving quantity or capacity of the server sta- tions and the communication channels taking into account the complex cost restriction. Formally, the given task can be reduced to the graph construction. The vertices of the graph is the server station which are characterized by po- tential Ri : {r1, r2,, rl} and set of incident edges cl : {c1, c2,, ck}, which reflect the communica- tion channels existence for each vertices under the cost constrains of the whole system and other con- strains which appear in the similar problems [9]. Solving this task we use the practical experi- ence of the telecommunication complex develop- ment, the administrator functionality system and hardware exploitation. Choice of telecommunica- tion complex structure is implemented using the previous evaluation of the telecommunication structure effectiveness. 5. The practical analysis of the telecommunica- tion infrastructure construction SEE demonstrates the necessity of the problem formulation: the gen- eral assessment of the multiservice TCI perform- ance. Such evaluation can be carried out consider- ing the different criteria, for example:  by the total information flow of all services;  by information flow of services with the maximum priority;  by the number of the simultaneously serviced subscribers;  by the quality of subscriber’s services. For the majority of the considered problems, it is difficult to get the clearly analytic solving. That is why for its practical solution, it is possible to imply the models, which can be based on the sta- tistic information analysis. Considering the problem of TCI architecture forming, we will compare the set of the functional schemeы, which satisfy the main criteria – to pro- vide the certain amount of subscribers by the set of the services function Si : {S1, S2,, Sn}. In practice some structural variants can exist, which has the equal services potential, but the dif- ferent system base, hardware designs, internal in- terconnections, communication links. From the viewpoint of the designer, except the total cost, such structures may differ in the performance, re- liability, management methods, the functional ca- pabilities. Thus, to be able to select the structures, it is necessary to evaluate the quantity of the TCI indicators. In the second item the definition of the parame- ters TCI is formulated. It is necessary to make some refinements. The set of services should be optimal placed on TCI server structure. This should be done based on the server station capacity and communica- tion links reserving, taking into account the cost constraints. The designer should take into account some objective additional parameters, which estab- lish the limit of the TCI functioning: УСиМ, 2015, № 5 51  pk : {p1, p2,, pm} – harmonized software pro- ducts, which provide the necessary of the services set;  cl : {c1, c2,, ck} – measure the workload of the communication links;  ri : {r1, r2,, rl} – hardware system resources, which is restricted by potential possibilities of the given PC;  bk : {b1, b2,, bm} – sufficient security levels;  dk : {d1, d2,, dm} – complexity coefficient of the particular resource management. Function Wj = F(S, p, c, r, b, d) characterizes the condition j-structure with appropriate variables restrictions. When we formulate the problem of the optimization as the minimization process, we get the solutions for the appropriate TCI, which are feasible solutions on practice. We must take into account, that precise algorithmic formaliza- tion of this assignment is not solvable because of the fuzziness performance assessments of every variable component. That is why, the algorithmic formalizing for the problem of the TCI architec- ture synthesis is not possible. In this case, the creation of the TCI learning models or its fragment can be proposed, which are acceptable for the prototype and let to make the evaluation for the changing performance depend- ing on the function Wj parameters changing. The following parameters for the approximate assessment characteristic of the desired model, in accordance to j structure are proposed:  maximal number of the subscribers aj, which are satisfactory to the simultaneously serviced TCI. It is function parameters settings, which is not necessary conditions for TCI functioning;  costs of the resources ri, which restrict the potential possibilities of the computer station    m j k jj n k xa 11 ;  the level of the TCI security system;  the degree of the certain service administra- tion complexity, the maximal necessary estimates by the corresponding services. Here we should consider the missing requirements for all services. This will form the combine criteria. It is possible that the deviation of the relative es- timations of the comparing models turns out to be bipolar. Then the relevant TCI will be acceptable based on the corresponding estimations. This ap- proach allows us to compare TCI with the different architecture and with the equal set of services. As mentioned earlier, the set of difficult questions ap- pear when we construct the relevant models, be- cause of the impossibly of the strict analytical for- malization of the questions. In this case we can ap- ply heuristic methods of function Wj parameters es- timation which is based on the statistics data, re- ceived during the TCI loading changes. Conclusions Taking into consideration that the exact TCI copy constructing is impossible, than it is advis- able to use the load simulator on the real struc- tures. Such load simulators can be organized in the special users’ segment and it generates the predetermined loading and it includes the local and cross-cutting question. The standard software set is used for the function Wj parameters monitoring. This software allows making the estimation values of the corresponding parameters. Thus, learning process for TCI models consists of the output and clarifying the function Wj. At the initial stage of education, the characteristic tables, which reflects the parameters values depend- ing on the loading, fixing the different TCI specifi- cation types are formed. The next stage is approxi- mation of the received date to the corresponding functions, which is used in future for analyses and forecasting of real TCI in the existing SEE. 1. Компьютерные технологии обучения: Словарь-спра- вочник / Под ред. В.И. Гриценко, А.М. Довгялло. В 2-х т. – К.: Наук. думка, 1992. – 784 с. 2. Гриценко В.И., Урсатьев А.А. Информационные тех- нологии – тенденция, пути развития // УСиМ. – 2011. – № 5. – С. 13–28. 3. Управляння якістю та забезпечення якості. Терміни та визначення: ДСТУ ISO 3230 – Чинний 1996-07- 01. – К.: Держстандарт, 1996. – 29 с. 4. Системи управління якістю. Вимоги: ДСТУ ISO 9001-2001 (ISO 9001: 2000, IDT). – Чинний 2001- 10-01. – К.: Держстандарт, 2001. – 23 с. 5. Манако А.Ф., Синица Е.М. Массовость и непрерыв- ность как ключевые факторы развития электронного научно-образовательного пространства для всех // Proc. Fifth Int. Conf. ITEA–2010. 23–24 Nov. 2010. – Kiev, IRTC. – P. 23–33. Окончание на стр. 78 78 УСиМ, 2015, № 5 Окончание статьи Я.М. Антонюка 6. Манако А.Ф., Синица E.М. Современные научно- образовательные пространства: технологии и под- ходы // Proc. 1-st Int. Conf. ITEA–2006, 29–31 May 2006. – Kiev, IRTC. – P. 37–51. 7. Таненбаум Э., Уэзеролл Д. Компьютерные сети. – СПб.: Питер, 2007. – 992 с. 8. Стеклов В.К., Беркман Л.Н., Кільчицький Є.В. Оп- тимізація та моделювання пристроїв і систем зв’яз- ку. – К.:Техніка, 2004 – 221 с. 9. Романов А.И. Телекоммуникационные сети и управление. – К.: Киевск. нац. ун-т имени Тараса Шевченко, 2003 – 247 с. 10. Антонюк Я.М., Ашаери Х.Р., Джуваго М.Ю. Мето- ди оптимізації серверних компонентів та плануван- ня каналів зв’язку комунікаційних вузлів академіч- них закладів. // Матерiали IV Мiжнар. конф. Держ. ун-т інформ.-комунік. технол. «Сучасні тенденції розвитку вищої освіти, », 9–10 жовт. 2008 р. – К.: Держ. ун-т інформ.-комунік. технол., 2008. – C. 46– 51. Поступила 09.04.2015 Тел. для справок: +38 044 502-6357 (Киев) © Я.M. 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