Pub Date : 2020-07-18DOI: 10.47350/iccs-de.2020.24
Ž. Stojanov, Jelena Stojanov, Gordana Jotanović, D. Dobrilović
Socio-technical systems join together humans and technique. Basic concepts and principles of socio-technical systems are outlined, as well as weighted networks as the appropriate mathematical models. Particular examples of socio-technical systems with various usages of weighted networks in domains such as airline connection networks, scientific collaboration, social networks, software engineering and urban traffic are presented. Comparative analysis of the selected examples is outlined with the focus on the nature and functions of nodes, links and weights. The identified challenges, such as the creation of networks, evolving nature of systems, and the need for multidisciplinary teams in the system design are discussed.
{"title":"Weighted networks in socio-technical systems: concepts and challenges","authors":"Ž. Stojanov, Jelena Stojanov, Gordana Jotanović, D. Dobrilović","doi":"10.47350/iccs-de.2020.24","DOIUrl":"https://doi.org/10.47350/iccs-de.2020.24","url":null,"abstract":"Socio-technical systems join together humans and technique. Basic concepts and principles of socio-technical systems are outlined, as well as weighted networks as the appropriate mathematical models. Particular examples of socio-technical systems with various usages of weighted networks in domains such as airline connection networks, scientific collaboration, social networks, software engineering and urban traffic are presented. Comparative analysis\u0000of the selected examples is outlined with the focus on the nature and functions of nodes, links and weights. The identified challenges, such as the creation of networks, evolving nature of systems, and the need for multidisciplinary teams in the system design are discussed.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114998578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-18DOI: 10.47350/iccs-de.2020.23
I. Sidorov, R. Kostromin, A. Feoktistov
The paper addresses relevant issues applying the concept of Industry 4.0 in related to modeling infrastructure objects at the Baikal natural territory that use environmentally friendly technologies. In particular, the use of heat pumps belongs to such technologies, since this enables us to reduce air emissions. Object models are designed on the basis of their digital twins. Digital twins are intended to reflect the structure and processes of object functioning. In addition, we plan to delegate them the decision-making in managing these objects in real-time. Such a digital twin has to become smarter over time. This virtual entity has to gain knowledge and skills to select optimal scenarios for controlling object and improving its functioning parameters. Therefore, the initial problem in its development is creating a monitoring system for the collection, unification, aggregation, storage, and transmission of subject-oriented data. Such data include information about the object operation and environmental state. The data must be promptly obtained from peripheral equipment (controlling and measuring devices). For the effective operation of a digital twin, we have to partially transfer functions of primary data processing, their intellectual analysis and decision-making to the controlling and measuring devices. To this end, we use agents that implement software on peripheral equipment.
{"title":"System for monitoring parameters of functioning infrastructure objects and their external environment","authors":"I. Sidorov, R. Kostromin, A. Feoktistov","doi":"10.47350/iccs-de.2020.23","DOIUrl":"https://doi.org/10.47350/iccs-de.2020.23","url":null,"abstract":"The paper addresses relevant issues applying the concept of Industry 4.0 in related to modeling infrastructure objects at the Baikal natural territory that use environmentally friendly technologies. In particular, the use of heat pumps belongs to such technologies, since this enables us to reduce air emissions. Object models are designed on the basis of their digital twins. Digital twins are intended to reflect the structure and processes of object functioning. In addition, we plan to delegate them the decision-making in managing these objects in real-time. Such a digital twin has to become smarter over time. This virtual entity has to gain knowledge and skills to select optimal scenarios for controlling object and improving its functioning parameters. Therefore, the initial problem in its development is creating a monitoring system for the collection, unification, aggregation, storage, and transmission of subject-oriented data. Such data include information about the object operation and environmental state. The data must be promptly obtained from peripheral equipment (controlling and measuring devices). For the effective operation of a digital twin, we have to partially transfer functions of primary data processing, their intellectual analysis and decision-making to the controlling and measuring devices. To this end, we use agents that implement software on peripheral equipment.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133584472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-18DOI: 10.47350/iccs-de.2020.13
R. Karimov, N. Kondratyeva, E. Kuzmina, Alexey S. Kovtunenko, M. Verkhoturov, S. Valeev
The problem of system design of complex technical objects based on intelligent technologies is considered. An optimization model for the conceptual design of a micro-mini-satellite based on a genetic algorithm is discussed. An artificial neural network model of a propulsion system is considered, as well as a heuristic algorithm for analyzing the cross-correlation of telemetric parameters of a micro-mini-satellite. The concept of constructing an intelligent system for information support of the life cycle of a complex technical object based on the considered models and algorithms is proposed.
{"title":"The conceptual design of a complex technical object based on intelligent technologies","authors":"R. Karimov, N. Kondratyeva, E. Kuzmina, Alexey S. Kovtunenko, M. Verkhoturov, S. Valeev","doi":"10.47350/iccs-de.2020.13","DOIUrl":"https://doi.org/10.47350/iccs-de.2020.13","url":null,"abstract":"The problem of system design of complex technical objects based on intelligent technologies is considered. An optimization model for the conceptual design of a micro-mini-satellite based on a genetic algorithm is discussed. An artificial neural network model of a propulsion system is considered, as well as a heuristic algorithm for analyzing the cross-correlation of telemetric parameters of a micro-mini-satellite. The concept of constructing an intelligent system for information support of the life cycle of a complex technical object based on the considered models and algorithms is proposed.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131865257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-18DOI: 10.47350/iccs-de.2020.16
N. Kucherov, M. Babenko, A. Tchernykh, V. Kuchukov, I. Vashchenko
The work develops the architecture of a multi-cloud data storage system based on the principles of modular arithmetic. This modication of the data storage system allows increasing reliability of data storage and fault tolerance of the cloud system. To increase fault-tolerance, adaptive data redistribution between available servers is applied. This is possible thanks to the introduction of additional redundancy. This model allows you to restore stored data in case of failure of one or more cloud servers. It is shown how the proposed scheme will enable you to set up reliability, redundancy, and reduce overhead costs for data storage by adapting the parameters of the residual number system.
{"title":"Increasing reliability and fault tolerance of a secure distributed cloud storage","authors":"N. Kucherov, M. Babenko, A. Tchernykh, V. Kuchukov, I. Vashchenko","doi":"10.47350/iccs-de.2020.16","DOIUrl":"https://doi.org/10.47350/iccs-de.2020.16","url":null,"abstract":"The work develops the architecture of a multi-cloud data storage system based on the principles of modular arithmetic. This modication of the data storage system allows increasing reliability of data storage and fault tolerance of the cloud system. To increase fault-tolerance, adaptive data redistribution between available servers is applied. This is possible thanks to the introduction of additional redundancy. This model allows you to restore stored data in case of failure of one or more cloud servers. It is shown how the proposed scheme will enable you to set up reliability, redundancy, and reduce overhead costs for data storage by adapting the parameters of the residual number system.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121968283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-18DOI: 10.47350/iccs-de.2020.17
A. Legalov, D. Romanova
The article presents the concept of an asynchronous-streamed model, which is an extension of the functional data-flow model of parallel computing. We suppose that the model will be used to describe dynamically changing parallelism. This model is based on the concept of asynchronous lists, which allow considering their parallelism as an independent way of describing the parallelism of the program. The specifics of asynchronous lists are represented. Using the examples, we show how to use this model to get temporary estimates of parallelism at different conditions of solving the problem. These estimates depends on correlation between data speed getting and computation time those data in parallel devices. Also, we demonstrate how two connected asynchronous-streamed functions can form pipeline automatically. As a result, we show out that on this model it is possible to obtain temporary estimates of the calculations performed and estimations which demonstrate the levels of parallelism.
{"title":"Asynchronous-streamed model for describing dynamically changing parallelism","authors":"A. Legalov, D. Romanova","doi":"10.47350/iccs-de.2020.17","DOIUrl":"https://doi.org/10.47350/iccs-de.2020.17","url":null,"abstract":"The article presents the concept of an asynchronous-streamed model, which is an extension of the functional data-flow model of parallel computing. We suppose that the model will be used to describe dynamically changing parallelism. This model is based on the concept of asynchronous lists, which allow considering their parallelism as an independent way of describing the parallelism of the program. The specifics of asynchronous lists are represented. Using the examples, we show how to use this model to get temporary estimates of parallelism at different conditions of solving the problem. These estimates depends on correlation between data speed getting and computation time those data in parallel devices. Also, we demonstrate how two connected asynchronous-streamed functions can form pipeline automatically. As a result, we show out that on this model it is possible to obtain temporary estimates of the calculations performed and estimations which demonstrate the levels of parallelism.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121269748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-18DOI: 10.47350/iccs-de.2020.25
A. Tolstikhin, I. Bychkov
The paper considers the problem of searching for the source of a non-stationary physical eld. We assume that the use of swarm algorithms may be applicable in this case. A hybrid of the Whale Optimization Algorithm and Grey Wolf Optimizer is proposed in this paper. The algorithm has several advantages over its origins: a more precise solution of the optimization problem for low-dimensional functions and a higher convergence rate of the first iterations. Two modications were made to adapt the algorithm to the requirements of the problem. The proposed algorithm is used as a basis for a control strategy for a group of autonomous underwater vehicles. As a result, in the vast number of cases, the group can find the source within the given number of search iterations.
{"title":"Swarm optimization approach to non-stationary physical field survey problem using a group of autonomous underwater vehicles","authors":"A. Tolstikhin, I. Bychkov","doi":"10.47350/iccs-de.2020.25","DOIUrl":"https://doi.org/10.47350/iccs-de.2020.25","url":null,"abstract":"The paper considers the problem of searching for the source of a non-stationary physical eld. We assume that the use of swarm algorithms may be applicable in this case. A hybrid of the Whale Optimization Algorithm and Grey Wolf Optimizer is proposed in this paper. The algorithm has several advantages over its origins: a more precise solution of the optimization problem for low-dimensional functions and a higher convergence rate of the first\u0000iterations. Two modications were made to adapt the algorithm to the requirements of the problem. The proposed algorithm is used as a basis for a control strategy for a group of autonomous underwater vehicles. As a result, in the vast number of cases, the group can find the source within the given number of search iterations.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124382064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-18DOI: 10.47350/iccs-de.2020.11
S. Gorsky
The paper addresses issues of continuous integration in the development of scientific applications based on workflows (special case of distributed applied software packages) for heterogeneous computing environments. The preparation and carrying out of scientific computational experiments are often accompanied by intensive software modification. Thus, there is a need for the following stages: building, testing, debugging, and installation new versions of software in heterogeneous nodes of environment. These stages may take longer time overheads than computations themselves. The solution to this challenge lies in the use of tools for continuous integration of software. However, such tools require deep integration with the tools for the workflow development because of scientific workflow specifics. To this end, the paper describes the combination of the authors Orlando Tools framework for the development and use packages with the GitLab system that is widely used for continuous integration. Such combination significantly reduces the complexity of software continuous when developing and using packages.
{"title":"Continuous integration, delivery, and deployment for scientific workflows in Orlando Tools","authors":"S. Gorsky","doi":"10.47350/iccs-de.2020.11","DOIUrl":"https://doi.org/10.47350/iccs-de.2020.11","url":null,"abstract":"The paper addresses issues of continuous integration in the development of scientific applications based on workflows (special case of distributed applied software packages) for heterogeneous computing environments. The preparation and carrying out of scientific computational experiments are often accompanied by intensive software modification. Thus, there is a need for the following stages: building, testing, debugging, and installation new versions of software in heterogeneous nodes of environment. These stages may take longer time overheads than computations themselves. The solution to this challenge lies in the use of tools for continuous integration of software. However, such tools require deep integration with the tools for the workflow development because of scientific workflow specifics. To this end, the paper describes the combination of the authors Orlando Tools framework for the development and use packages with the GitLab system that is widely used for continuous integration. Such combination significantly reduces the complexity of software continuous when developing and using packages.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130398974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-18DOI: 10.47350/iccs-de.2020.09
A. Feoktistov
Nowadays, applying various market-based methods for regulating supply and demand of resources for distributed computing is becoming increasingly relevant. In particular, different forms of standard auctions are actively used. However, their basic capabilities often do not enable to fully solve the complicated problems of resource allocation in a heterogeneous distributed computing environment. In this regard, a tender of computational works based on a combinatorial Vickrey auction has been designed. It is applied within multi-agent computing management. For the tender, new models are proposed to rank the criteria of resources owners and users. The tender use advantages are shown in comparison with traditional meta-schedulers.
{"title":"Tender of computational works in heterogeneous distributed environment","authors":"A. Feoktistov","doi":"10.47350/iccs-de.2020.09","DOIUrl":"https://doi.org/10.47350/iccs-de.2020.09","url":null,"abstract":"Nowadays, applying various market-based methods for regulating supply and demand of resources for distributed computing is becoming increasingly relevant. In particular, different forms of standard auctions are actively used. However, their basic capabilities often do not enable to fully solve the complicated problems of resource allocation in a heterogeneous distributed computing environment. In this regard, a tender of computational works based on a combinatorial Vickrey auction has been designed. It is applied within multi-agent computing management. For the tender, new models are proposed to rank the criteria of resources owners and users. The tender use advantages are shown in comparison with traditional meta-schedulers.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132471642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-18DOI: 10.47350/iccs-de.2020.15
R. Kostromin
The paper discusses the problem of preparing a computing environment for large-scale scientific experiments in the process of continuous integration of applied and system software. A comparative analysis of software configuration management tools (such as Chef, Ansible, Puppet, and SaltStack) of computational nodes in a heterogeneous environment is being performed. These tools are intended for automating the configuration of different nodes. Such automation reduces the setup time of nodes and increases the reliability of computations by minimizing the number of software and hardware failures, associated with the human factor in the manual configuration process. For the development of scientific applications, the Orlando Tools framework is used. Based on the results of the comparative analysis and requirements of this framework, the Ansible framework was selected for further integration into the chain of continuous integration of applied and system software. Practical experiments have shown the advantages of using Ansible in comparison with other systems of a similar purpose.
{"title":"Survey of software configuration management tools of nodes in heterogeneous distributed computing environment","authors":"R. Kostromin","doi":"10.47350/iccs-de.2020.15","DOIUrl":"https://doi.org/10.47350/iccs-de.2020.15","url":null,"abstract":"The paper discusses the problem of preparing a computing environment for large-scale scientific experiments in the process of continuous integration of applied and system software. A comparative analysis of software configuration management tools (such as Chef, Ansible, Puppet, and SaltStack) of computational nodes in a heterogeneous environment is being performed. These tools are intended for automating the configuration of different nodes. Such automation reduces the setup time of nodes and increases the reliability of computations by minimizing the number of software and hardware failures, associated with the human factor in the manual configuration process. For the development of scientific applications, the Orlando Tools framework is used. Based on the results of the comparative analysis and requirements of this framework, the Ansible framework was selected for further integration into the chain of continuous integration of applied and system software. Practical experiments have shown the advantages of using Ansible in comparison with other systems of a similar purpose.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114515250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-18DOI: 10.47350/iccs-de.2020.10
A. Feoktistov, O. Basharina
The paper addresses a relevant problem of predicting the runtime of jobs for executing problem-solving schemes of large-scale applications in a heterogeneous distributed computing environment. Such an environment includes nodes that have various hardware architectures, different system software, and diverse computational possibilities. We believe that increasing the accuracy in predicting the runtime of jobs can significantly improve the efficiency of problem-solving and rational use of resources in the heterogeneous environment. To this end, we propose new models that make it possible to take into account various estimations of the module runtime for all modules included in the problem-solving scheme. These models were developed using the special computational model of distributed applied software packages (large-scale scientific applications). In addition, we compare the prediction results (jobs runtime and their errors) using different estimations. Among them are the estimations obtained through the modules testing, users estimations, and estimations based on computational history. These results were obtained in continuous integration, delivery, and deployment of applied and system software of a package for solving warehouse logistics problems. They show that the largest accuracy is achieved by the modules testing.
{"title":"Predicting runtime of computational jobs in distributed computing environment","authors":"A. Feoktistov, O. Basharina","doi":"10.47350/iccs-de.2020.10","DOIUrl":"https://doi.org/10.47350/iccs-de.2020.10","url":null,"abstract":"The paper addresses a relevant problem of predicting the runtime of jobs for executing problem-solving schemes of large-scale applications in a heterogeneous distributed computing environment. Such an environment includes nodes that have various hardware architectures, different system software, and diverse computational possibilities. We believe that increasing the accuracy in predicting the runtime of jobs can significantly improve the efficiency of problem-solving and rational use of resources in the heterogeneous environment. To this end, we propose new models that make it possible to take into account various estimations of the module runtime for all modules included in the problem-solving scheme. These models were developed using the special computational model of distributed applied software packages (large-scale scientific applications). In addition, we compare the prediction results (jobs runtime and their errors) using different estimations. Among them are the estimations obtained through the modules testing, users estimations, and estimations based on computational history. These results were obtained in continuous integration, delivery, and deployment of applied and system software of a package for solving warehouse logistics problems. They show that the largest accuracy is achieved by the modules testing.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115200148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：