scholarly journals Toolkit for simulation modeling of queue systems in Grid

2019 ◽  
Author(s):  
A.G. Feoktistov ◽  
R.O. Kostromin ◽  
E.S. Fereferov ◽  
A. Tchernykh ◽  
O.Yu. Basharina ◽  
...  
Keyword(s):  
High Performance Computing ◽  
Simulation Modeling ◽  
High Performance ◽  
Computing Environment ◽  
Application Development ◽  
Heterogeneous Distributed Computing ◽  
The Subject ◽  
High Scalability ◽  
Performance Computing ◽  
Heterogeneous Resources

The paper addresses an important problem related to automation of simulation modeling of queue systems using high-performance computing. There is a large spectrum of tools for the simulation modeling of such systems. However, these tools often do not use the possibilities of subject-oriented high-performance computing in full. The purpose of the study is the development of the new tools for automation of the simulation modeling of queue systems in a heterogeneous distributed computing environment. To this end, we develop specialized applications for parameter sweep computations in such an environment. A methodology of the application development is based on the integrated use of methods of the conceptual and wireframe programming, methods of the computations planning and resources allocation, methods of parameter sweep computations, and methods of the data analysis. We develop the toolkit named SIRIUS III for the simulation modeling of queue systems using high-performance computing. In addition, we design a conceptual model that represents knowledge about both the subject domain of solved problems and computing environment. Using the proposed toolkit, we solved a number of problems related to warehouse logistics. Computational experiments showed the high scalability of parameter sweep computations on heterogeneous resources.

scholarly journals Integration of Web Processing Services with Workflow-Based Scientific Applications for Solving Environmental Monitoring Problems

2021 ◽  
Vol 11 (1) ◽  
pp. 8
Author(s):  
Alexander Feoktistov ◽  
Sergey Gorsky ◽  
Roman Kostromin ◽  
Roman Fedorov ◽  
Igor Bychkov
Keyword(s):  
Distributed Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Computing Environment ◽  
Scientific Application ◽  
Computational Load ◽  
Multidimensional Time Series ◽  
Critical Problems ◽  
Heterogeneous Distributed Computing ◽  
Performance Computing

Nowadays, developing and applying advanced digital technologies for monitoring protected natural territories are critical problems. Collecting, digitalizing, storing, and analyzing spatiotemporal data on various aspects of the life cycle of such territories play a significant role in monitoring. Often, data processing requires the utilization of high-performance computing. To this end, the paper addresses a new approach to automation of implementing resource-intensive computational operations of web processing services in a heterogeneous distributed computing environment. To implement such an operation, we develop a workflow-based scientific application executed under the control of a multi-agent system. Agents represent heterogeneous resources of the environment and distribute the computational load among themselves. Software development is realized in the Orlando Tools framework, which we apply to creating and operating problem-oriented applications. The advantages of the proposed approach are in integrating geographic information services and high-performance computing tools, as well as in increasing computation speedup, balancing computational load, and improving the efficiency of resource use in the heterogeneous distributed computing environment. These advantages are shown in analyzing multidimensional time series.

Simulating Sonic Scanner responses in an interactive Web‐based High Performance Computing environment

2008 ◽  
Vol 123 (5) ◽  
pp. 3373-3373
Author(s):  
Valery Polyakov ◽  
Henri‐Pierre Valero ◽  
Dzevat Omeragic ◽  
Raymond L. Kocian ◽  
Tarek M. Habashy ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Computing Environment ◽  
Web Based ◽  
Performance Computing

scholarly journals High-performance computing environment: a review of twenty years of experiments in China

2016 ◽  
Vol 3 (1) ◽  
pp. 36-48 ◽  
Author(s):  
Zhiwei Xu ◽  
Xuebin Chi ◽  
Nong Xiao
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
The Internet ◽  
Computing Environment ◽  
Open Problems ◽  
Loosely Coupled ◽  
The Past ◽  
Important Open Problem ◽  
Computing Environments ◽  
Performance Computing

Abstract A high-performance computing environment, also known as a supercomputing environment, e-Science environment or cyberinfrastructure, is a crucial system that connects users’ applications to supercomputers, and provides usability, efficiency, sharing, and collaboration capabilities. This review presents important lessons drawn from China's nationwide efforts to build and use a high-performance computing environment over the past 20 years (1995–2015), including three observations and two open problems. We present evidence that such an environment helps to grow China's nationwide supercomputing ecosystem by orders of magnitude, where a loosely coupled architecture accommodates diversity. An important open problem is why technology for global networked supercomputing has not yet become as widespread as the Internet or Web. In the next 20 years, high-performance computing environments will need to provide zettaflops computing capability and 10 000 times better energy efficiency, and support seamless human-cyber-physical ternary computing.

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