This is an introductory text to a collection of selected papers from the Joint Workshop on the Quantum Information Technologies and Edge Computing (QuaInT & doors 2021) which were held in Zhytomyr, Ukraine, on the April 11, 2021. It consists of short summaries of selected papers and some observations about the events. Quantum Information Technologies (QuaInT) is a peer-reviewed international workshop interdisciplinary between Computer Science, Physics and Mathematics, focusing on research advances and applications of quantum information science and technology. QuaInT topics of interest (inspired by [1, 2, 3, 4, 5, 6]): • Annealing-based computing • Cloud-based quantum computing • Quantum information science education
• Quantum machine learning • Quantum algorithms • Quantum coding theory • Quantum communication • Quantum complexity theory • Quantum computing models • Quantum cryptography • Quantum finance • Quantum image processing • Quantum information processing • Quantum intelligent systems • Quantum optimization • Quantum programming • Quantum software engineering • Quantum simulation • Quantum and probability logic
proceedings of the Workshop on the Quantum
Information Technologies (QuaInT 2021), held
in Zhytomyr, Ukraine, on April 11, 2021
(figure 2). It comprises 1 contributed paper ([
• Gustavo Banegas, INRIA, France • Wei Chen, University of Science and Technology of China, China • Sebastian Feld, Delft University of Technology, Netherlands 1.3. doors 2021: At a glance Peter the Great hacked through a window to Europe. We use doors.
Edge Computing Workshop (doors) is a peer-reviewed international Computer Science workshop focusing on research advances and applications of edge computing, a process of building a distributed system in which some applications, as well as computation and storage services, are provided and managed by (i) central clouds and smart devices, the edge of networks in small proximity to mobile devices, sensors and end users, and (ii) others are provided and managed by the center cloud and a set of small in-between local clouds supporting IoT at the edge.
The goal of doors is to bring together researchers and practitioners from academia and industry working on edge computing to share their ideas, discuss research/work in progress, and identify new/emerging trends in this important emerging area. The emergence of the Internet of Things (IoT) and the demand for responsiveness, privacy, and situation-awareness are pushing computing to the edge of the Internet. There are many challenges in the design, implementation, and deployment of diferent aspects of edge computing: infrastructure, systems, networking, algorithms, applications, etc. doors would like to open discussions in these areas. doors topics of interest are opened to: • algorithms and techniques for machine learning and AI at the edge • cellular infrastructure for edge computing • distributed ledger technology and blockchain at the edge • edge computing infrastructure and edge-enabled applications • edge-based data storage and databases • edge-optimized heterogeneous architectures • fault-tolerance in edge computing • fog computing models and applications • geo-distributed analytics and indexing on edge nodes • hardware architectures for edge computing and devices • innovative applications at the edge • interoperability and collaboration between edge and cloud computing • monitoring, management, and diagnosis in edge computing • processing of IoT data at network edges • programming models and toolkits for edge computing • resource management and Quality of Service for edge computing • security and privacy in edge computing
The second part of this volume represents the
proceedings of the Edge Computing Workshop
(doors 2021), held in Zhytomyr, Ukraine, on April
11, 2021 (figure 4). It comprises 7 contributed
papers ([
• Mehdi Ammi, University of Paris 8, France • Aleksandr Cariow, West Pomeranian University of Technology, Poland • Olena Glazunova, National University of Life and Environmental Sciences of Ukraine,
Ukraine • Attila Kertesz, University of Szeged, Hungary • Dmitry Korzun, Petrozavodsk State University, Institute of Mathematics and Information
Technology, Russia • Vyacheslav Kryzhanivskyy, R&D Seco Tools AB, Sweden • Nagender Kumar, University of Hyderabad, India • Gyu Myoung Lee, Liverpool John Moores University, United Kingdom • Taras Maksymyuk, Lviv Polytechnic National University, Ukraine • Franco Milano, University of Florence, Italy • Bongkyo Moon, Dongguk University, Korea • Leonardo Mostarda, University of Camerino, Italy • Djamel Eddine Saidouni, MISC Laboratory, University Constantine 2 – Abdelhamid Mehri,
Algeria • Gwen Salaun, University Grenoble Alpes, France • Serhiy Semerikov, Kryvyi Rih State Pedagogical University, Ukraine • Pedro Valderas, Universitat Politècnica de València, Spain • Xianzhi Wang, University of Technology Sydney, Australia • Michael Wei, VMware Research, USA • Eiko Yoneki, University of Cambridge, United Kingdom • Pamela Zave, Princeton University, USA Additional reviewers: • Abhineet Anand, Chitkara University, India • Dmitry Antoniuk, Zhytomyr Polytechnic State University, Ukraine • Josef Cernohorsky, Technical university of Liberec, Czech Republic • Lubomir Dimitrov, Technical University-Sofia, Bulgaria • Mahmud Hossain, The University of Alabama at Birmingham, US • Valerii Kontsedailo, Inner Circle, Netherlands • Nadiia Lobanchykova, Zhytomyr Polytechnic State University, Ukraine • Mykhailo Medvediev, ADA University, Azerbaijan • Andrii Morozov, Zhytomyr Polytechnic State University, Ukraine • Tetiana Nikitchuk, Zhytomyr Polytechnic State University, Ukraine • Shadi Noghabi, Microsoft Research, Redmond, WA, USA • Igor Puleko, Zhytomyr Polytechnic State University, Ukraine • Etibar Seyidzade, Baku Engineering University, Azerbaijan • Andrii Striuk, Kryvyi Rih National University, Ukraine • Inna Suhoniak, Zhytomyr Polytechnic State University, Ukraine • Tetiana Vakaliuk, Zhytomyr Polytechnic State University, Ukraine • Tetiana Voloshyna, National University of Life and Environmental Sciences of Ukraine,
Ukraine • Volodymyr Voytenko, Athabasca University, Canada • Valentyn Yanchuk, Zhytomyr Polytechnic State University, Ukraine Organizing Committee: • Nadiia Lobanchykova, Zhytomyr Polytechnic State University, Ukraine • Andrii Morozov, Zhytomyr Polytechnic State University, Ukraine • Serhiy Semerikov, Kryvyi Rih State Pedagogical University, Ukraine • Andrii Striuk, Kryvyi Rih National University, Ukraine • Tetiana Vakaliuk, Zhytomyr Polytechnic State University, Ukraine
Kamil Khadiev (figure 5) in the article [
The development and efective application of Fog Computing technologies require the most
complex tasks related to the management and processing of huge data sets, including the tasks
of rational construction of low-level networks that ensure the functioning of end devices within
the IoT concept. The article “Graph model of Fog Computing system” [
Tetiana M. Nikitchuk, Tetiana A. Vakaliuk, Oksana A. Chernysh (figure 7), Oksana L.
Korenivska, Liudmyla A. Martseva and Viacheslav V. Osadchyi in the article “Architecture for
edge devices for diagnostics of students’ physical condition” [
The concept of the Internet of Things is increasingly defining the development of
communication networks both now and in the future. The largest application of the IoT concept is
wireless touch networks (WTN). Due to the potentially widespread use of WTN in all areas
of human life, they are also called pervasive sensory networks. WTN belongs to the class of
self-organizing networks, for which the construction principles, routing protocols, quality of
service parameters, trafic models, and characteristics are significantly modified compared to
traditional infrastructure networks, etc. The features of the application of dynamic routing
protocols for the construction of a self-organizing network of autonomous IoT systems are
considered. Anastasia D. Sverdlova (figure 8), Artur O. Zaporozhets, Ihor V. Bohachev,
Oleksandr O. Popov, Anna V. Iatsyshyn, Andrii V. Iatsyshyn, Valeriia O. Kovach, Volodymyr O.
Artemchuk and Nataliia M. Hrushchynska in the article “Self-organizing network topology
for autonomous IoT systems” [
Edge computing is an extension of cloud computing where physical servers are deployed
closer to the users in order to reduce latency. Edge data centers face the challenge of serving
a continuously increasing number of applications with a reduced capacity compared to
traditional data center. Tania Lorido-Botran (figure 9) and Muhammad Khurram Bhatti in the article
“ImpalaE: Towards an optimal policy for eficient resource management at the edge” [
Nadiia M. Lobanchykova (figure 10), Ihor A. Pilkevych and Oleksandr Korchenko in the article “Analysis of attacks on components of IoT systems and cybersecurity technologies” [12] presents the results of IoT analysis, methods and ways of their protection, prospects of using edge computing to minimize trafic transmission, decentralization of decision-making systems, and information protection. A detailed analysis of attacks on IoT system components was carried out and protection recommendations were developed.
Taras A. Uzdenov (figure 11) in the article “Task scheduling in Desktop GRID by FSA method: a practical example” [13] considers a new approach to solving the problem of dispatching task lfows, the complexity of which is known, for GRID-systems with inalienable resources, the performance of which can be determined. A method based on this approach has been developed. The eficiency of the proposed method is compared with the well-known and widely used in various projects method FCFS. A feature of this method is the simplicity of implementation. An example of a simple practical problem that can be solved using the proposed method is described in this paper.
Volodymyr Kvasnikov (figure 12), Mariia Kataieva and Victor Kobylyansky in the article “Analysis of metrological support of nano-measurements” [14] analyzes the existing methods and means of measuring objects in the nanometer range and develops their classification based on the main principles of use. The main parameters on which each described method is based are considered and the conditions for their most efective application are determined. It is proved that the chemical and electrical sets of properties of the nanomaterial can change when the particle size decreases to the nanometer size, which requires the inclusion of additional chemical and electrical tests in existing methods. Based on the analysis, it was determined that the most functional and universal in solving a wide range of problems is the method of scanning probe microscopy. The classification of existing methods of scanning probe microscopy based on the nature of their applications is developed. The main information parameters on which each described method is based are considered, and the conditions of their most efective application are determined. To increase the accuracy of nanomeasurements, a methodology based on the principle of integration of information provided by diferent methods has been developed. The use of the diferential-digital method is proposed, which includes the use of an additional information parameter in the mathematical model. An algorithm for including additional (a priory) information in the conditions for measuring the nanostructures has been developed, which leads the problem to the correct one according to the method of the control link, which characterizes the deviation of the parameters of measuring nanoobjects from their nominal values. It is proved that increasing the number of measurement methods used in the metrological analysis of nanoobjects will increase the reliability and accuracy of measurement results, and each method will provide additional information parameters to create a computerized method of calculating the control link. The main condition for correct comparison of the result is knowledge of the specific parameters on which each method is based.
The Joint Workshop on the Quantum Information Technologies and Edge Computing (QuaInT & doors 2021) was organized by Kryvyi Rih National University (with support of the rector Mykola I. Stupnik) and Zhytomyr Polytechnic State University (with support of the rector Viktor V. Ievdokymov) in collaboration with Kryvyi Rih State Pedagogical University (with support of the rector Yaroslav V. Shramko), Institute of Information Technologies and Learning Tools of the NAES of Ukraine (with support of the director Valeriy Yu. Bykov) and University of Educational Management (with support of the vice-rector for research and digitalization Oleg M. Spirin).
We are thankful to all the authors who submitted papers and the delegates for their participation and their interest in QuaInT & doors as a platform to share their ideas and innovation. Also, we are also thankful to all the program committee members for providing continuous guidance and eforts taken by peer reviewers contributed to improve the quality of papers provided constructive critical comments, improvements and corrections to the authors are gratefully appreciated for their contribution to the success of the workshop. [12] N. M. Lobanchykova, I. A. Pilkevych, O. Korchenko, Analysis of attacks on components of IoT systems and cybersecurity technologies, CEUR Workshop Proceedings (2021, in press) 83–96. [13] T. A. Uzdenov, Task scheduling in Desktop GRID by FSA method: a practical example,
CEUR Workshop Proceedings (2021, in press) 97–109. [14] V. Kvasnikov, M. Kataieva, V. Kobylyansky, Analysis of metrological support of nanomeasurements, CEUR Workshop Proceedings (2021, in press) 110–120.