International Workshop on Information, Computation, and Control Systems for Distributed Environments最新文献_第4页

Weighted networks in socio-technical systems: concepts and challenges 社会技术系统中的加权网络:概念和挑战

International Workshop on Information, Computation, and Control Systems for Distributed Environments Pub Date : 2020-07-18 DOI: 10.47350/iccs-de.2020.24

Ž. Stojanov, Jelena Stojanov, Gordana Jotanović, D. Dobrilović

引用次数: 0

System for monitoring parameters of functioning infrastructure objects and their external environment 用于监测功能基础设施对象及其外部环境参数的系统

International Workshop on Information, Computation, and Control Systems for Distributed Environments Pub Date : 2020-07-18 DOI: 10.47350/iccs-de.2020.23

I. Sidorov, R. Kostromin, A. Feoktistov

{"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}

引用次数: 4

The conceptual design of a complex technical object based on intelligent technologies 基于智能技术的复杂技术对象的概念设计

International Workshop on Information, Computation, and Control Systems for Distributed Environments Pub Date : 2020-07-18 DOI: 10.47350/iccs-de.2020.13

R. Karimov, N. Kondratyeva, E. Kuzmina, Alexey S. Kovtunenko, M. Verkhoturov, S. Valeev

引用次数: 0

Increasing reliability and fault tolerance of a secure distributed cloud storage 提高分布式云存储的可靠性和容错性

International Workshop on Information, Computation, and Control Systems for Distributed Environments Pub Date : 2020-07-18 DOI: 10.47350/iccs-de.2020.16

N. Kucherov, M. Babenko, A. Tchernykh, V. Kuchukov, I. Vashchenko

引用次数: 1

Asynchronous-streamed model for describing dynamically changing parallelism 用于描述动态变化的并行性的异步流模型

International Workshop on Information, Computation, and Control Systems for Distributed Environments Pub Date : 2020-07-18 DOI: 10.47350/iccs-de.2020.17

A. Legalov, D. Romanova

引用次数: 0

Swarm optimization approach to non-stationary physical field survey problem using a group of autonomous underwater vehicles 基于一组自主水下航行器的非平稳物理场调查问题的群优化方法

International Workshop on Information, Computation, and Control Systems for Distributed Environments Pub Date : 2020-07-18 DOI: 10.47350/iccs-de.2020.25

A. Tolstikhin, I. Bychkov

引用次数: 0

Continuous integration, delivery, and deployment for scientific workflows in Orlando Tools Orlando Tools中科学工作流的持续集成、交付和部署

International Workshop on Information, Computation, and Control Systems for Distributed Environments Pub Date : 2020-07-18 DOI: 10.47350/iccs-de.2020.11

S. Gorsky

{"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}

引用次数: 0

Tender of computational works in heterogeneous distributed environment 异构分布式环境下的计算工程投标

International Workshop on Information, Computation, and Control Systems for Distributed Environments Pub Date : 2020-07-18 DOI: 10.47350/iccs-de.2020.09

A. Feoktistov

引用次数: 1

Survey of software configuration management tools of nodes in heterogeneous distributed computing environment 异构分布式计算环境下节点软件配置管理工具综述

International Workshop on Information, Computation, and Control Systems for Distributed Environments Pub Date : 2020-07-18 DOI: 10.47350/iccs-de.2020.15

R. Kostromin

{"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}

引用次数: 3

Predicting runtime of computational jobs in distributed computing environment 分布式计算环境下计算作业运行时预测

International Workshop on Information, Computation, and Control Systems for Distributed Environments Pub Date : 2020-07-18 DOI: 10.47350/iccs-de.2020.10

A. Feoktistov, O. Basharina

{"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}

引用次数: 2