Special Issue "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: 31 December 2022 | Viewed by 2337

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
Prof. Dr. Andrei Tchernykh
E-Mail Website
Guest Editor
1. CICESE Research Center, Carr. Tijuana-Ensenada 3918, Ensenada 22860, BC, Mexico
2. Ivannikov Institute for System Programming, RAS Moskow, Alexander Solzhenitsyn Street, 25, 109004 Moskow, Russia
3. South Ural State University, Prospekt Lenina, 76, 453080 Chelyabinsk, Russia
Interests: multi-objective resource optimization; security; uncertainty; dynamic scheduling; adaptive resource allocation
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 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 1400 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 (2 papers)

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Research

Article
An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges
Computation 2022, 10(2), 17; https://doi.org/10.3390/computation10020017 - 24 Jan 2022
Viewed by 998
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
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Article
Improved Modular Division Implementation with the Akushsky Core Function
Computation 2022, 10(1), 9; https://doi.org/10.3390/computation10010009 - 13 Jan 2022
Cited by 2 | Viewed by 660
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
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