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X INTENATIONAL CONFERENCE AND SENAR EDM'201, SECTION III, JUNE 30 - JULY 4, ERLAGOL215

Architecture of Trafc Control Systems UsingCloud Computing

Viktor V. Brizgalov, Viktor Chukhantsev, Evgeny FedorkinSiberia State Universi of Telecommunications and Informatics, Novosibirsk, Russia

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I. NTRODUCTION

FAST IROVENT of the information technologyad data transmission allows the development of the

intellectual trasport control systems. Intellectual trans port control systems are the concept of the integral sys tems, where the following systems are integrated: videoobservation, data transmission, data processing and auto matic control. Some parts of system achitecture can bepresented as cloud computing.

II. PROBLEM EFINITION

Current achitecture of the ac control systems include too many elements ad suggestion will be directedto simpli architecture using cloud computing.

ere will be a lot of advantages in application of cloudcomputing. Example: it is easier to manage cloud, to scalecloud, to connect the different pas of system presentedas clouds, etc.

Realization of such achitecture will have a lot adv tages too, because you can develop independent psconcurrently with other parts, etc.

III. EORY

Cloud achitecture, e systems achitecture of thesoware systems involved in the delive of cloud com puting, typically involves multiple cloud componentscommunicating with each other over application programming interfaces, usually web services. This resem bles the Unix philosophy of having multiple programseach doing one thing well ad working together over iversal interfaces. Complexity is controlled d the resulting systems ae more maageable th eir monolithiccountets.

Cloud architecture has the ve layers. Client layer: a

cloud client consists of computer hadware and/or computer sowe that relies on cloud computing for applica-

tion delive, or that is specically designed for deliveryof cloud services and that, in either case, is essentially useless without it. Examples include some computers, phones d other devices, operating systems ad browsers.

The next layer is application: cloud application servicesor "Sowae as a Service (SaaS)" deliver soware as aservice over the Inteet, eliminating the need to installand the application on the customer's own computersand simpliing maintenace ad support. Key chaacte ristics include network-based access to, ad managementof, commercially available (i.e., not custom) sowae;activities that ae maaged om central locations rather than at each customer's site, enabling customers to accessapplications remotely via the Web; application delive that typically is closer to a one-to-many model (singleinstace, multi-tent achitecture) th to a one-to-one model, including chitectre, pricing, ptnering, and management chaacteristics; centralized feature updating, which obviates the need for downloadable patches adupades.

latform layer: cloud platform services or "latform asa Service (aaS)" deliver a computing platform and/orsolution stack as a service, oen consuming cloud inastructre ad sustaining cloud applications. It facilitatesdeployment of applications without the cost ad complexity of buying ad maaging the underlying hardware andsowae layers.

Inastrcture layer: cloud inastrcture services or "Inastructre as a Service (IaaS)" deliver computer inastructure, typically a platform virtualization environmentas a service. Instead of purchasing servers, soware, datacenter space or network equipment clients buy such resoces as a lly outsorced service. The service is typically billed on a utility computing basis ad aont ofresources consumed (ad therefore the cost) will typically reect the level of activity. It is an evolution of virualprivate server offerings.

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Fig. 1. Cloud computing sample chitecture.

ISBN 978-1-4244-6628-3/10/$26.00 IEEE

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216 X INTENATIONAL CONFERENCE D SENAR EDM'2010, SECTION III, JUNE 30 - JULY 4, ERLAGOL

And e last is server layer: the server layer consists ofcomputer hardware ad/or computer sowae products

that ae specically desied for the delive of cloudservices, including multi-core processors, cloud-specicoperating systems and combined offerings.

IV. ESULTS

There is a type of building for achitecte of the tracconol system using cloud computing (Fig. 2). ere arefour clouds: data processing, data storage, video sourced ontend.

Video source cloud includes sources of video data omstreets. Example: video caeras, web-cameras, cell phones, etc. All information om video cloud goes to thedata storage cloud.

Fig. 2. Architecture of the trac control systems on cloud computing.

The data storage cloud saves information om the video source cloud and om data processing cloud too. It can

use various technologies such as: DBMS, RDBMS,NoSQL, etc.

Data processing cloud works with information om da ta storage cloud. It aalyzes information (license plate recognition, trac modeling) ad results go to the datastorage cloud.

Frontend cloud represents information for clients. Information ca be represented in vious fos: web interface, stadalone application, etc.

Iner representation of clouds ca also include clouds.

V. ONCLUSION

The authors have been described how to simpli achi tecture using cloud computing d identied the mainadvtages of the cloud computing approach.

EFEENCES

[] Buyya, Rajkumar; Chee Shin Yeo, Srikumar Venugopal. MarketOriented Cloud Computing: Vision, Hype, d Reality for Delivering IT Services as Computing Utilities. Department of ComputerScience d Sowe Engineering, The University of Melboue,Australia, p. 9

[2] Modeling of the Trc Control Systems, D. Eidukas, A. Marma,M. Zilys, A. Valinevicius, K.Balsys, Department of Electronics Engineering, Kaunas University of Technology, p. 4.

[3] The Cloud Ws: $100 Billion at Stake. 2008, Merrill Lynch.

[4] Grossman, R.L., et., Compute and storage clouds using wide areahigh performance networks. Future Generation Computer Systems,2009

[5] Knorr, E. and G. Gruman, What cloud computing realy mes.2008, InfoWorld.

[6] Stevens, H. d C. Pettey, Gartner Says Cloud Computing Will BeAs Inuential As E-business, in 2008 Press Releases. 2008.