Stochastic Modeling and Applied Research of Technology Youth Camp: SMARTY Youth Camp 2023

Welcome Message

Within the framework of the SMARTY-branded events, we are eager to welcome you on the Stochastic Modeling and Applied Research of Technology (SMARTY) Youth Camp 2023, to be held in Petrozavodsk, Karelia, one of the beautiful places in the North-West Russia, on August 21-25, 2023.

Key focus:

The Youth Camp is dedicated to students and young researchers primary focusing on queueing theory, stochastic modeling and applied probability. This year, following the SMARTY'22 workshop key focus areas, we expect to have an exclusive series of tutorials on quantum programming. We expect intensive lectures, tutorials, and hands-on practices to inspire young researchers in those fields.

Schedule is available and updated.

Contacts:

Secretary: Alexander Rumyantsev, IAMR KRC RAS, Petrozavodsk, Russia
Workshop email: smarty.karelia@yandex.ru

Youth Camp Events

Ruslana Nekrasova, Ksenia Zhukova, Irina Peshkova, Oleg Lukashenko, Taisia Morozova, Alexander Rumyantsev

Institute of Applied Mathematical Research, Karelian Research Center of RAS

Advanced Queueing Marathon

With these several brief lectures/tutorials we start an Endorsement Marathon of talks within the Advanced Queueing topic which is dedicated to the 75th Anniversary of our teacher, chief and respected leader of the Stochastics research group at IAMR KarRC RAS, Prof. Dr. Evsey V. Morozov. The topics covered are within the subtle parts of Queueing Theory and Applied Probability, including stability analysis, large deviations theory, mixtures and maxima, variance reduction etc.

Ekaterina Fedorova, Elena Danilyuk, Svetlana Paul, Ivan Lapatin

National Research Tomsk State University

Asymptotic Analysis Methods in Queueing Theory

An important problem of our time is the development of new mathematical models and research methods for the optimal design and performance evaluation of modern data transmission networks. The queuing theory plays a special role in this. Researchers build mathematical models based on real telecommunications systems and develop methods for their study. Since most modern models have a complex configuration, it is not always possible to study them analytically. In this regard, numerical research methods or simulation methods are used. Analytical methods are mainly used in cases where the incoming flow of the queuing system is Poisson and the service time is exponential. Modern scientists need to develop new analytical research methods that allow studying modern models and obtaining their accurate probabilistic characteristics. A course of lectures is offered on the development and application of analytical asymptotic methods for studying queuing systems of various configurations.

Kamil Hadiev, Ilnaz Mannapov

Kazan Federal University

Quantum Computing Workshop

This workshop will provide initial programming skills for quantum computers and basic knowledge of quantum algorithms. Python and a set of Qiskit libraries will be used to write quantum programs. We will go from basic operations to Grover's quantum search algorithm, which allows us to speed up the solutions of many scientific problems. Laptops are required to participate in the workshop.

Eduard Vatutin

South-West State University

Sequential Methods in Discrete Combinatorial Optimization

General issues of discrete combinatorial optimization will be considered: the formulation of typical problems, types of constraints and the main classes of methods. A group of methods with sequential solution formation will be considered in detail, which includes the greedy method, the random search method, the weighted random search method, the ant colony method and the water droplet method.

Robert Basmadjian

TU Clausthal

Energy Informatics

Data centers are the backbones in realizing digitization where they host ICT resources like servers, storage devices and networking equipment. Despite their advantages in terms of providing numerous services, the major drawback is that data centers devour enormous amounts of energy. It is expected that the energy usage of data centers will increase in the next few years due to the new emerging technologies such as blockchain and 5G. This short lecture will be started by giving a brief introduction about Smart Grid, how energy management can be achieved in data centers and which optimization criterion can be considered. The lecture will then be focused on energy minimization and peak power reduction techniques related to data centers. To achieve this, it will be clarified how the feedback loop is realized. Then high level overview of each of the above-mentioned techniques will be given. It will be shown that it is possible to reduce the energy consumption and peak power demand of data centers both by considering singleand federate-site scenarios. At the end, key lessons learned will be highlighted and future research orientations will be demonstrated