Automation Development Framework of Scalable Scientific Web Applications Based on Subject Domain Knowledge

Bychkov, I. V.; Oparin, Gennady A.; Bogdanova, Vera; Pashinin, Anton A.; Gorsky, Sergey

doi:10.1007/978-3-319-62932-2_27

Cited by 10 publications

(7 citation statements)

References 23 publications

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“…These situations are handled in the behavioral model of agents [30]. The developed tools were tested on several problems from the previously mentioned research domain (for example, [11,13,14,30]). As the development of research, the possibility of adapting behavioral models of agents oriented to different HPCSOMAS-MSC functioning modes is considered to provide a hybrid functioning, for example, launching an ensemble of microservices on a computational layer in the hierarchy of microservices composition.…”

Section: Resultsmentioning

confidence: 99%

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Automated tools for the development of microservice compositions for hybrid scientific computations

Oparin¹,

Bogdanova²,

Pashinin³

2020

The International Workshop on Information, Computation, and Control Systems for Distributed Environments

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In recent years, a significant amount of research is focused on the development of tools for creating composite web-services for solving both business and scientific complex problems. This study discusses tools for building compositions or ensembles of microservices (depending on the method of integration) developed based on the HPCSOMAS framework. These tools are oriented on the application in a package of applied microservices for solving computationally complex problems of structural analysis and parametric synthesis of controlled dynamic systems in a heterogeneous high-performance computing environment. In particular, binary dynamic systems are studied using the Boolean constraint method for both their qualitative analysis and synthesis of laws to control these systems. Creating and executing composite services is carried out on a semantic peer-to-peer network of agents. The HPCSOMAS framework supports two modes of these processes, both the static creation and application of a composite service based on the procedural formulation of the problem and dynamic, based on the declarative formulation. In the first case, agents deployed on the network perform hierarchical control over the execution of the composition of microservices, in the second case, decentralized asynchronous management of the ensemble of microservices. Both operating modes are automated, and the validity of the resulting composite service is checked based on a logical approach. The tools are aimed both at a professional programmer and the end-user, a specialist in the subject domain. The HPCSOMAS framework supports the execution of composite microservices in a hybrid computing infrastructure, which includes both cloud and on-premises resources.

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Section: Resultsmentioning

confidence: 99%

“…1) is calculated as 0*1+1*2+0*4+1*8+0*16+0*32+0*64+0*128+0*256+0*512+0*1024+0*2048=10. Attractor basins (ABAS) of the maximum radius k (RAB) are used for the visualization (figure [6][7][8][9][10][11]. For this, the NPS T2= ( 0 2 A = {ABAS, Y_BAS}; O B 2 = {PDAB}) is formulated.…”

Section: Illustrative Examplementioning

confidence: 99%

Automated tools for the development of microservice compositions for hybrid scientific computations

Oparin¹,

Bogdanova²,

Pashinin³

2020

The International Workshop on Information, Computation, and Control Systems for Distributed Environments

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“…The new version of previously developed by the authors the HPCSOMAS framework [7], namely HPCSOMAS-MS platform, is designed to automate the creating, deploying, testing, and usage of AMP. This version simplifies the using of cloud-based computing resources and automates the constructing AMP intended for integrated cloud and on-premises calculations.…”

Section: Amp Implementation Platform Noveltymentioning

confidence: 99%

“…This version simplifies the using of cloud-based computing resources and automates the constructing AMP intended for integrated cloud and on-premises calculations. Thus, the components for deploying and updating microservices, synchronization of data installed on cloud and on-premises resources extend this version's features in comparison with [7]. The generalized scheme of constructing AMP based on HPCSOMAS-MS is presented in figure 4.…”

Section: Amp Implementation Platform Noveltymentioning

confidence: 99%

Intellectual technology for computation control in the package of applied microservices

Bychkov¹,

Oparin²,

Bogdanova³

et al. 2019

The International Workshop on Information, Computation, and Control Systems for Distributed Environments 2019

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The complexity of exhaustive problems with the properties of large-scale, openness, unpredictable dynamics, and component mobility determines the relevance of developing microservice-oriented software for their solving in a hybrid computational environment. We propose an approach for adapting to this environment both the existing software and new ones developed using new automated technology for creating an applied microservice package and organizing control of computations in it. The distributed computational model is represented by a set of small, loosely coupled, replaceable, interacting with the use of lightweight communication mechanisms autonomous microservices that implement the functions of the program package modules. The decentralized management of the microservices interaction is carried out by a self-organizing multi-agent system, agents of which are delegated the rights to launch microservices. The paper discusses the models, methods, and software platform that form the basis of the proposed technology. We demonstrate the application of the applied microservice package, based on this technology, for solving the problems of qualitative analysis of binary dynamic system using the author's Boolean constraints method.

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“…The decentralized management of the interaction of microservices is carried out by a self-organizing multiagent system, agents of which are delegated the rights to launch microservices. To automate the creation, deployment, and testing of microservices, the previously developed HPCSOMAS toolkits [9,10] is extended by a new specialized subsystem MSCDT (Micro-Services Creating, Deployment and Testing), the architecture and functionality of which are considered in this work. The focus is on the deployment of microservices.…”

Section: Introductionmentioning

confidence: 99%

Automation of microservices creation for qualitative analysis of binary dynamic systems

Oparin¹,

Bogdanova²,

Pashinin³

2019

The International Workshop on Information, Computation, and Control Systems for Distributed Environments 2019

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The main objective of qualitative research is to analyze the behavior of the trajectories of a dynamic system to verify whether it corresponds to the set of constraints characterizing the property. We use an approach to study binary dynamic systems on a finite time interval based on the author's method of Boolean constraints. Based on this method, the Boolean model of the properties of a binary dynamic system is written in the language of Boolean equations or Boolean formulas with quantifiers. Thus, the verification of various dynamical properties is reduced to solving the problems of Boolean constraints satisfiability or the validity of a quantified Boolean formula using efficient SAT or TQBF solvers. The high computational complexity of these problems requires the development of software and tools for their parallel and distributed solving and ensuring transparent end-user access to highperformance computing environments based on a service-oriented approach. This paper represents the architecture and functionality of a new instrumental system that automates the creation of a distributed application for solving the considered class of problems based on the microservice approach and multi-agent technology.

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Automation Development Framework of Scalable Scientific Web Applications Based on Subject Domain Knowledge

Cited by 10 publications

References 23 publications

Automated tools for the development of microservice compositions for hybrid scientific computations

Automated tools for the development of microservice compositions for hybrid scientific computations

Intellectual technology for computation control in the package of applied microservices

Automation of microservices creation for qualitative analysis of binary dynamic systems

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