A hierarchical approach for the redesign of chemical processes

“…This is becoming more and more relevant in various fields related with e‐Science (mostly in the context of Grid and Cloud computing) where Java is becoming the dominant language, albeit used by researchers (programmers) who are often not computer engineers/computer scientists. Relevant examples include Chemistry, Computational Biology and Bio‐informatics , with many available Java‐based APIs (e.g., Neobio )…”

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confidence: 99%

A checkpointing‐enabled and resource‐aware Java Virtual Machine for efficient and robust e‐Science applications in grid environments

Simão

Garrochinho

Veiga

2011

Concurrency and Computation

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Object-oriented programming languages presently are the dominant paradigm of application development (e. g., Java,. NET). Lately, increasingly more Java applications have long (or very long) execution times and manipulate large amounts of data/information, gaining relevance in fields related with e-Science (with Grid and Cloud computing). Significant examples include Chemistry, Computational Biology and Bio-informatics, with many available Java-based APIs (e. g., Neobio).Often, when the execution of such an application is terminated abruptly because of a failure (regardless of the cause being a hardware of software fault, lack of available resources, etc.), all of its work already performed is simply lost, and when the application is later re-initiated, it has to restart all its work from scratch, wasting resources and time, while also being prone to another failure and may delay its completion with no deadline guarantees.Our proposed solution to address these issues is through incorporating mechanisms for checkpointing and migration in a JVM. These make applications more robust and flexible by being able to move to other nodes, without any intervention from the programmer. This article provides a solution to Java applications with long execution times, by extending a JVM (Jikes research virtual machine) with such mechanisms.

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“…There is a vast literature concerning redesign of business processes [6,11,13] and simulation of business processes [4,16]. Redesign of a business process can be executed based on process documentation (top-down) or based on process data (bottom-up).…”

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confidence: 99%

Redesigning business processes: a methodology based on simulation and process mining techniques

Măruşter

Beest

2009

Knowl Inf Syst

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Nowadays, organizations have to adjust their business processes along with the changing environment in order to maintain a competitive advantage. Changing a part of the system to support the business process implies changing the entire system, which leads to complex redesign activities. In this paper, a bottom-up process mining and simulation-based methodology is proposed to be employed in redesign activities. The methodology starts with identifying relevant performance issues, which are used as basis for redesign. A process model is "mined" and simulated as a representation of the existing situation, followed by the simulation of the redesigned process model as prediction of the future scenario. Finally, the performance criteria of the current business process model and the redesigned business process model are compared such that the potential performance gains of the redesign can be predicted. We illustrate the methodology with three case studies from three different domains: gas industry, government institution and agriculture.

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A hierarchical approach for the redesign of chemical processes

Cited by 9 publications

References 25 publications

Implementation of a knowledge-based methodology in a decision support system for the design of suitable wastewater treatment process flow diagrams

Implementation of a knowledge-based methodology in a decision support system for the design of suitable wastewater treatment process flow diagrams

A checkpointing‐enabled and resource‐aware Java Virtual Machine for efficient and robust e‐Science applications in grid environments

Redesigning business processes: a methodology based on simulation and process mining techniques

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