Mitigating Uncertainty in Developing and Applying Scientific Applications in an Integrated Computing Environment

The state-of-the-art physics alliances have augmented various opportunities to solve complex real-world problems. These problems require both multi-disciplinary expertise as well as large-scale computational experiments. Therefore, the physics community needs a flexible platform which can handle computational challenges such as volume of data, platform heterogeneity, application complexity, etc. Cloud computing provides an incredible amount of resources for scientific users on-demand, thus, it has become a potential platform for executing scientific applications. To manage the resources of Cloud efficiently, it is required to explore the resource prediction and scheduling techniques for scientific applications which can be deployed on Cloud. This paper discusses an extensive analysis of scientific applications, resource predictions and scheduling techniques for Cloud computing environment. Further, the trend of resource prediction-based scheduling and the existing techniques have also been studied. This paper would be helpful for the readers to explore the significance of resource prediction-based scheduling techniques for physics-based scientific applications along with the associated challenges.

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An integrated computing environment for solution of complex engineering problems using the object-oriented programming paradigm and a blackboard architecture

Computers & Structures ◽

10.1016/0045-7949(94)00323-u ◽

1995 ◽

Vol 54 (2) ◽

pp. 255-265 ◽

Cited By ~ 35

Author(s):

H. Adeli ◽

G. Yu

Keyword(s):

Object Oriented ◽

Object Oriented Programming ◽

Computing Environment ◽

Blackboard Architecture ◽

Programming Paradigm ◽

Engineering Problems ◽

Complex Engineering ◽

Integrated Computing Environment

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Mitigating Uncertainty in Developing Scientific Applications in Integrated Environment

Proceedings of the Institute for System Programming of RAS ◽

10.15514/ispras-2021-33(1)-11 ◽

2021 ◽

Vol 33 (1) ◽

pp. 151-172

Author(s):

Andrei Nikolaevitch Tchernykh ◽

Igor Vyacheslavovich Bychkov ◽

Alexander Gennadevich Feoktistov ◽

Sergei Alexeevich Gorsky ◽

Ivan Alexandrovich Sidorov ◽

...

Keyword(s):

Problem Solving ◽

Negative Impact ◽

System Software ◽

Computing Environment ◽

Software Environment ◽

Software Packages ◽

Applied Software ◽

Integrated Environment ◽

Integrated Software ◽

Integrated Computing Environment

The paper represents new means of the Orlando Tools framework. This framework is used as the basis of an integrated software environment for developing distributed applied software packages. The additional means are focused on mitigating various types of uncertainties arising from the job distribution in an integrated computing environment. They provide continuous integration, delivery, and deployment of applied and system software of packages. This helps to significantly reduce the negative impact of uncertainty on problem-solving time, computing reliability, and resource efficiency. An experimental analysis of the results of solving practical problems clearly demonstrates the advantages of applying these means.

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