O. Tembhurne, Sonali Milmile, Ganesh R. Pathak, Atul O. Thakare, A. Thakare
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引用次数: 1
Abstract
A development of an orchestrator that manages multiusers and shared resources is extremely useful for automaton of jobs on the multiple machines. Many companies such as UiPath, Blue Prism, Automation Anywhere, etc. have their own orchestrator, but their orchestration services have some drawbacks (i.e., huge cost of yearly subscription, lack of user defined flexibility in architecture, and third-party security issues). The manuscript contains the design and analysis of orchestrator using open-source programming language and cloud platform (i.e., Python and OpenStack). The main focus of this paper is design and development of the orchestrator with shared resources and distribute environment management system that help to manage the multiuser, multi-machine environment in an efficient way. The overall examination delights that design and development of inhouse orchestrator application using open-source assets is not only useful in terms of colossal expense slicing, but also the development of free and flexible robotic process automation applications.
期刊介绍：
The International Journal of Open Source Software and Processes (IJOSSP) publishes high-quality peer-reviewed and original research articles on the large field of open source software and processes. This wide area entails many intriguing question and facets, including the special development process performed by a large number of geographically dispersed programmers, community issues like coordination and communication, motivations of the participants, and also economic and legal issues. Beyond this topic, open source software is an example of a highly distributed innovation process led by the users. Therefore, many aspects have relevance beyond the realm of software and its development. In this tradition, IJOSSP also publishes papers on these topics. IJOSSP is a multi-disciplinary outlet, and welcomes submissions from all relevant fields of research and applying a multitude of research approaches.
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