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Computation
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Advanced Information, Computation, and Control Systems for Distributed Environments
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Advanced Information, Computation, and Control Systems for Distributed Environments

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 11447

Special Issue Editors

Dr. Igor Bychkov

E-Mail Website
Guest Editor
Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences, Lermontov St. 134, 664033 Irkutsk, Russia
Interests: artificial intelligence; geoinformation systems; web-technologies; mathematical modeling; cloud computing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Andrei Tchernykh

E-Mail Website
Guest Editor
1. CICESE Research Center, Carr Tijuana-Ensenada 3918, Zona Playitas, Ensenada 22860, Mexico
2. Ivannikov Institute for System Programming of the Russian Academy of Sciences, Alexander Solzhenitsyn st., 25. 109004 Moscow, Russia
3. Problem-Oriented Cloud Computing Environment International Laboratory, South Ural State University, Prospekt Lenina 76, 454080 Chelyabinsk, Russia
Interests: grid and cloud; multiobjective resource optimization; security; uncertainty; scheduling; heuristics and meta-heuristics; adaptive resource allocation; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Dr. Alexander Feoktistov

E-Mail Website
Guest Editor
Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences, Lermontov St. 134, 664033 Irkutsk, Russia
Interests: computational models; applied software packages; knowledge engineering; distributed computing; multi-agent technologies; simulation modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The International Workshop on Information, Computation, and Control Systems for Distributed Environments (ICCS-DE 2021) will be held in Irkutsk, Russia (July 5-9, 2021), https://iccs-de.icc.ru/. The workshop organizers are Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences, Irkutsk, Russia and CICESE Research Center, Ensenada, Mexico.

Today, the digitalization of various aspects of our life and work is becoming a reality. This is based on the implementation and use of a large spectrum of software systems for various purposes. However, the architectures and concepts of many of them are based on technologies that have evolved to varying degrees over the past several decades. Therefore, they often reach the limits of their capabilities when applied in the conditions of modern digitalization and do not provide the quality use of sophisticated data management to enable multiparty participation in various activities.

In this regard, we provide this Special Issue of the journal Computation that addresses the theory and practice in developing advanced information, computing, and control systems related to different subject domains of information, technical, economic, and other fields of human activity. The benefits of using advanced systems are multifold. Advanced systems affect the acceleration and increase in the reliability of data processing, quality and timeliness of intelligence and decision making, improvement of service of end-users, financial performance, etc. In general, this significantly increases the competitiveness of subjects that actively apply advanced information, computation, and control systems in their activities. At present, the architecture of modern systems for performing various day-to-day business operations is usually distributed. Therefore, it is expected that special attention will be paid to the systems that function in various distributed environments.

The topics of the Special Issue include but are not limited to the following research fields:

  • Theoretical foundation of information, computing, and control systems;
  • Methods, tools, and technologies of the system development;
  • Development and application of systems in computer science;
  • Mathematical modeling of systems;
  • Control systems;
  • Decision support systems;
  • Intelligent systems;
  • Multiagent systems;
  • Parallel and distributed computing systems.

We kindly invite you to participate in this Special Issue and contribute to the development of the theory and practice of advanced information, computation, and control systems. We particularly invite authors of selected papers presented at the workshop and included in the conference proceedings to submit extended versions of their work to this Special Issue of the journal Computation. However, we also invite other researchers to present their original scientific and practical results in the aforementioned fields in this Special Issue.

Dr. Igor Bychkov
Prof. Dr. Andrei Tchernykh
Dr. Alexander Feoktistov
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Grid and cloud computing
  • Resource optimization
  • Scheduling
  • Resource allocation
  • Internet of Things
  • Artificial intelligence
  • Geo-information systems
  • Mathematical modeling

Published Papers (5 papers)

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Research

20 pages, 974 KiB  
Article
A Comparison between Task Distribution Strategies for Load Balancing Using a Multiagent System
by Dumitru-Daniel Vecliuc, Florin Leon and Doina Logofătu
Computation 2022, 10(12), 223; https://0-doi-org.brum.beds.ac.uk/10.3390/computation10120223 - 17 Dec 2022
Cited by 1 | Viewed by 1464
Abstract
This work presents a comparison between several task distribution methods for load balancing with the help of an original implementation of a solution based on a multi-agent system. Among the original contributions, one can mention the design and implementation of the agent-based solution [...] Read more.
This work presents a comparison between several task distribution methods for load balancing with the help of an original implementation of a solution based on a multi-agent system. Among the original contributions, one can mention the design and implementation of the agent-based solution and the proposal of various scenarios, strategies and metrics that are further analyzed in the experimental case studies. The best strategy depends on the context. When the objective is to use the processors at their highest processing potential, the agents preferences strategy produces the best usage of the processing resources with an aggregated load per turn for all PAs up to four times higher than the rest of the strategies. When one needs to have a balance between the loads of the processing elements, the maximum availability strategy is better than the rest of the examined strategies, producing the lowest imbalance rate between PAs out of all the strategies in most scenarios. The random distribution strategy produces the lowest average load especially for tasks with higher required processing time, and thus, it should generally be avoided. Full article
(This article belongs to the Special Issue Advanced Information, Computation, and Control Systems for Distributed Environments)
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14 pages, 3005 KiB  
Article
Principles of Building Digital Twins to Design Integrated Energy Systems
by Valery Stennikov, Evgeny Barakhtenko, Dmitry Sokolov and Gleb Mayorov
Computation 2022, 10(12), 222; https://0-doi-org.brum.beds.ac.uk/10.3390/computation10120222 - 16 Dec 2022
Cited by 4 | Viewed by 1835
Abstract
The design of integrated energy systems (IESs) is a challenging task by reason of the highly complex configurations of these systems, the wide range of equipment used, and a diverse set of mathematical models and dedicated software employed to model it. The use [...] Read more.
The design of integrated energy systems (IESs) is a challenging task by reason of the highly complex configurations of these systems, the wide range of equipment used, and a diverse set of mathematical models and dedicated software employed to model it. The use of digital twins allows modeling in virtual space for various IES configurations. As a result, an optimal option of IES is obtained, which is implemented in the construction or expansion of a real-world IES. The paper proposes the principles of building digital twins for solving the IES design problems. The paper presents a new methodological approach developed by the authors to design an IES with the help of its digital twin. This approach includes the following components: the architecture of the software platform to create digital twins, a set of technologies and tools to implement the platform, methods to automatically construct a digital twin based on the Model-Driven Engineering concept, an algorithm to design an IES based on its digital twin, and principles to organize a computational process using a multi-agent approach. The results of the computational experiment using the software implementation of the IES digital twin components are presented for a test energy supply scheme. Full article
(This article belongs to the Special Issue Advanced Information, Computation, and Control Systems for Distributed Environments)
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15 pages, 4956 KiB  
Article
Develop Control Architectures to Enhance Soft Actuator Motion and Force
by Mustafa Hassan, Mohammed Ibrahim Awad and Shady A. Maged
Computation 2022, 10(10), 178; https://0-doi-org.brum.beds.ac.uk/10.3390/computation10100178 - 09 Oct 2022
Cited by 2 | Viewed by 1855
Abstract
Study: Soft robots can achieve the desired range of motion for finger movement to match their axis of rotation with the axis of rotation of the human hand. The iterative design has been used to achieve data that makes the movement smooth and [...] Read more.
Study: Soft robots can achieve the desired range of motion for finger movement to match their axis of rotation with the axis of rotation of the human hand. The iterative design has been used to achieve data that makes the movement smooth and the range of movement wider, and the validity of the design has been confirmed through practical experiments. Limitation: The challenges facing this research are to reach the most significant inclined angle and increase the force generated by the actuator, which is the most complicated matter while maintaining the desired control accuracy. The motion capture system verifies the actual movement of the soft pneumatic actuator (SPA). A tracking system has been developed for SPA in action by having sensors to know the position and strength of the SPA. Results: The novelty of this research is that it gave better control of soft robots by selecting the proportional, integral, and derivative (PID) controller. The parameters were tuned using three different methods: ZN (Ziegler Nichols Method), GA (Genetic Algorism), and PSO (Particle Swarm Optimization). The optimization techniques were used in Methods 2 and 3 in order to reach the nominal error rate (0.6) and minimum overshoot (0.1%) in the shortest time (2.5 s). Impact: The effect of the proposed system in this study is to provide precise control of the actuator, which helps in medical and industrial applications, the most important of which are the transfer of things from one place to another and the process of medical rehabilitation for patients with muscular dystrophy. A doctor who treats finger muscle insufficiency can monitor a patient’s ability to reach a greater angle of flexion or increase strength by developing three treatment modalities to boost strength: Full Assisted Movement (FAM), Half Assisted Movement (HAM), and Resistance Movement (RM). Full article
(This article belongs to the Special Issue Advanced Information, Computation, and Control Systems for Distributed Environments)
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21 pages, 3911 KiB  
Article
An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges
by Andrei Tchernykh, Mikhail Babenko, Egor Shiriaev, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, Alexander Yu Drozdov and Viktor Kuchukov
Computation 2022, 10(2), 17; https://0-doi-org.brum.beds.ac.uk/10.3390/computation10020017 - 24 Jan 2022
Cited by 4 | Viewed by 2975
Abstract
Fully Homomorphic Encryption (FHE) permits processing information in the form of ciphertexts without decryption. It can ensure the security of information in common technologies used today, such as cloud computing, the Internet of Things, and machine learning, among others. A primary disadvantage for [...] Read more.
Fully Homomorphic Encryption (FHE) permits processing information in the form of ciphertexts without decryption. It can ensure the security of information in common technologies used today, such as cloud computing, the Internet of Things, and machine learning, among others. A primary disadvantage for its practical application is the low efficiency of sign and comparison operations. Several FHE schemes use the Residue Number System (RNS) to decrease the time complexity of these operations. Converting from the RNS to the positional number system and calculating the positional characteristic of a number are standard approaches for both operations in the RNS domain. In this paper, we propose a new method for comparing numbers and determining the sign of a number in RNS. We focus on the even ranges that are computationally simple due to their peculiarities. We compare the performance of several state-of-art algorithms based on an implementation in C++ and relatively simple moduli with a bit depth from 24 to 64 bits. The experimental analysis shows a better performance of our approach for all the test cases; it improves the sign detection between 1.93 and 15.3 times and the number comparison within 1.55–11.35 times with respect to all the methods and configurations. Full article
(This article belongs to the Special Issue Advanced Information, Computation, and Control Systems for Distributed Environments)
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14 pages, 945 KiB  
Article
Improved Modular Division Implementation with the Akushsky Core Function
by Mikhail Babenko, Andrei Tchernykh and Viktor Kuchukov
Computation 2022, 10(1), 9; https://0-doi-org.brum.beds.ac.uk/10.3390/computation10010009 - 13 Jan 2022
Cited by 3 | Viewed by 1985
Abstract
The residue number system (RNS) is widely used in different areas due to the efficiency of modular addition and multiplication operations. However, non-modular operations, such as sign and division operations, are computationally complex. A fractional representation based on the Chinese remainder theorem is [...] Read more.
The residue number system (RNS) is widely used in different areas due to the efficiency of modular addition and multiplication operations. However, non-modular operations, such as sign and division operations, are computationally complex. A fractional representation based on the Chinese remainder theorem is widely used. In some cases, this method gives an incorrect result associated with round-off calculation errors. In this paper, we optimize the division operation in RNS using the Akushsky core function without critical cores. We show that the proposed method reduces the size of the operands by half and does not require additional restrictions on the divisor as in the division algorithm in RNS based on the approximate method. Full article
(This article belongs to the Special Issue Advanced Information, Computation, and Control Systems for Distributed Environments)
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