scholarly journals VLAM-G: Interactive Data Driven Workflow Engine for Grid-Enabled Resources

2007 ◽  
Vol 15 (3) ◽  
pp. 173-188 ◽  
Author(s):  
Vladimir Korkhov ◽  
Dmitry Vasyunin ◽  
Adianto Wibisono ◽  
Adam S.Z. Belloum ◽  
Márcia A. Inda ◽  
...  

Grid brings the power of many computers to scientists. However, the development of Grid-enabled applications requires knowledge about Grid infrastructure and low-level API to Grid services. In turn, workflow management systems provide a high-level environment for rapid prototyping of experimental computing systems. Coupling Grid and workflow paradigms is important for the scientific community: it makes the power of the Grid easily available to the end user. The paradigm of data driven workflow execution is one of the ways to enable distributed workflow on the Grid. The work presented in this paper is carried out in the context of the Virtual Laboratory for e-Science project. We present the VLAM-G workflow management system and its core component: the Run-Time System (RTS). The RTS is a dataflow driven workflow engine which utilizes Grid resources, hiding the complexity of the Grid from a scientist. Special attention is paid to the concept of dataflow and direct data streaming between distributed workflow components. We present the architecture and components of the RTS, describe the features of VLAM-G workflow execution, and evaluate the system by performance measurements and a real life use case.

Author(s):  
Cesare Pautasso

Model-driven architecture (MDA), design and transformation techniques can be applied with success to the domain of business process modeling (BPM) with the goal of making the vision of business-driven development a reality. This chapter is centered on the idea of compiling business process models for executing them, and how this idea has been driving the design of the JOpera for Eclipse workflow management tool. JOpera presents users with a simple, graph-based process modeling language with a visual representation of both control and data-flow aspects. As an intermediate representation, the graphs are converted into Event-Condition-Action rules, which are further compiled into Java bytecode for efficient execution. These transformations of process models are performed by the JOpera process compiler in a completely transparent way, where the generated executable artefacts are kept hidden from users at all times (i.e., even for debugging process executions, which is done by augmenting the original, high level notation). The author evaluates his approach by discussing how using a compiler has opened up the several possibilities for performing optimization on the generated code and also simplified the design the corresponding workflow engine architecture.


2022 ◽  
pp. 687-703
Author(s):  
Gabriela Viale Pereira ◽  
Gregor Eibl ◽  
Constantinos Stylianou ◽  
Gilberto Martínez ◽  
Haris Neophytou ◽  
...  

Smart government relies both on the application of digital technologies to enable citizen's participation in order to achieve a high level of citizen centricity and on data-driven decision making in order to improve the quality of life of citizens. Data-driven decisions in turn depend on accessible and reliable datasets, which open government and social media data are likely to promise. The SmartGov project uses digital technologies by integrating open and social media data in Fuzzy Cognitive Maps to model real life problems and simulate different scenarios leading to better decision making. This research performed a multiple-case analysis in two pilot cities. Both municipalities use the technologies to find the best routes: Limassol to improve the garbage collection and Quart de Poblet to improve the walking routes of chaperones guiding children to school. The article proposes a generic framework for Smart City Governance focusing on the inputs and outcomes of this process in the use of technologies for policy making built based on the analysis of the SmartGov.


2012 ◽  
Vol 10 (3) ◽  
pp. 367-393 ◽  
Author(s):  
Qishi Wu ◽  
Mengxia Zhu ◽  
Yi Gu ◽  
Patrick Brown ◽  
Xukang Lu ◽  
...  

2014 ◽  
Vol 989-994 ◽  
pp. 4771-4774
Author(s):  
Tao Wu

Efficient business workflow management in large-scale areas is in great demand. However, current business workflow management systems are short of distributed workflow execution support. In our paper, we design and implement a distributed framework called PeerODE for Apache ODE (Orchestration Director Engine) [1], an open-sourced business workflow engine. PeerODE presents a scalable approach to P2P business process execution. The scheduling experiment on PeerODE shows that the framework handles the distributed business process execution effectively.


2014 ◽  
Vol 1048 ◽  
pp. 554-559
Author(s):  
Wei Liu ◽  
Xiao Dong Zhu ◽  
Yuan Ning Liu ◽  
Ning Deng ◽  
Fei He

The workflow management, in which the main line is the product, is used widely. The emergence of product structure makes workflow management more complex. This thesis focuses on the realization method of workflow engine based on product structure. Firstly, this paper describes the formal definition of the workflow based on product structure, and then gives the algorithm of instantiating workflow, the startup algorithms and the advance algorithms involved in the workflow execution in detail, finally, this paper shows the realization of the engine based on these algorithms. These algorithms described in this paper allow users to make decisions on designing and establishing the composition of the product structure flexible, to define the approval process of the task node flexible, and to advance the process according to the results of the instantiation automatically.


Author(s):  
Xiaoling Luo ◽  
Adrian Cottam ◽  
Yao-Jan Wu ◽  
Yangsheng Jiang

Trip purpose information plays a significant role in transportation systems. Existing trip purpose information is traditionally collected through human observation. This manual process requires many personnel and a large amount of resources. Because of this high cost, automated trip purpose estimation is more attractive from a data-driven perspective, as it could improve the efficiency of processes and save time. Therefore, a hybrid-data approach using taxi operations data and point-of-interest (POI) data to estimate trip purposes was developed in this research. POI data, an emerging data source, was incorporated because it provides a wealth of additional information for trip purpose estimation. POI data, an open dataset, has the added benefit of being readily accessible from online platforms. Several techniques were developed and compared to incorporate this POI data into the hybrid-data approach to achieve a high level of accuracy. To evaluate the performance of the approach, data from Chengdu, China, were used. The results show that the incorporation of POI information increases the average accuracy of trip purpose estimation by 28% compared with trip purpose estimation not using the POI data. These results indicate that the additional trip attributes provided by POI data can increase the accuracy of trip purpose estimation.


Author(s):  
Gayathri Nadarajan ◽  
Cheng-Lin Yang ◽  
Yun-Heh Chen-Burger ◽  
Yu-Jung Cheng ◽  
Sun-In Lin ◽  
...  

2014 ◽  
Vol 568-570 ◽  
pp. 1616-1620
Author(s):  
Min Qin ◽  
Shi Quan Qiao

At present, the enterprise has many business processes. It need transfer many forms involving personnel, procurement and other aspects. The workflow management system uses computer network to realize the automation of the business process. This paper analyses the workflow management system, describes the operational principle of the workflow engine and presents a cooperative platform design based on workflow. It can effectively track the whole process and realize standardized management. Otherwise, it can enhance the enterprise business operation efficiency.


Sign in / Sign up

Export Citation Format

Share Document