Reuse-based software engineering is becoming the main approach for developing business and commercial systems. Service choreographies support the reuse-based service-oriented philosophy in that they represent a powerf...
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ISBN:
(纸本)9781450359337
Reuse-based software engineering is becoming the main approach for developing business and commercial systems. Service choreographies support the reuse-based service-oriented philosophy in that they represent a powerful and flexible approach to realize systems by (possibly) reusing services and composing them in a fully distributed way. A key enabler for the realization of choreographies is the ability to (i) reuse existing applications and services that can play the role of choreography participants, (ii) aid developers in writing the code of those participants whose roles cannot be covered through reuse, and (iii) automatically synthesize the coordination logic required for their correct interaction. The contribution of this paper is the definition and realization of a novel approach to the synthesis of service choreographies that allows developers to just fill-in-the-blank of automatically generated code templates of single (uncovered) choreography tasks, without the need of considering all the message flows specified by the choreography and the related distributed coordination issues.
In order to identify and schedule jobs that are suitable for determined resources, an execution time estimation model is required. In this paper, it is described a Chronological history-based execution time estimation...
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As more business activities are being automated and an increasing number of computers are being used to store vital and sensitive information the need for secure computer systems becomes more apparent. This need is ev...
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The development of vehicular networking technology continuously enhances the internet connectivity of modern vehicles. However, for in-vehicle networks, constant communication with the outside world dramatically incre...
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distributedcomputing is a form of computing in which a group of independent systems are connected to a computer network. Cloud computing is one of the emerging domain in the field of Computer science. With the help o...
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Digitalisation is continuing to play an essential role in modernising Europe's industrial capabilities, allowing companies to be well positioned for global competitiveness and sustainability. Data is viewed as an ...
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ISBN:
(纸本)9783031197611;9783031197628
Digitalisation is continuing to play an essential role in modernising Europe's industrial capabilities, allowing companies to be well positioned for global competitiveness and sustainability. Data is viewed as an essential resource for economic growth, competitiveness, innovation, job creation and societal progress. As such, EU industry needs to develop highly integrated digital networks that can underpin the creation of innovative digital services. While the convergence of novel digital technologies are viewed as key enablers, their inherent complexity, heterogeneity and dynamicity create challenges for managing workflows and trust at scale. As a result valuable data assets are disparate sitting in silos across systems, roles and business functions and go unutilised. In addition, large volumes of data sit across organisations that can provide a rich cross-pollination of experience to identify common patterns, opportunities, and train robust models to support innovative data-driven services. The work presented here outlines an initial analysis of the system requirements, architectural considerations, and challenges that need to be overcome to realise distributed and trusted digitalworkflows with a focus on use cases in the domain of smart manufacturing.
Embedded high perfonnance computing is being called upon to provide critical computing resources with increasing frequency. The ability to tolerate faults during operation, both maintaining operational capability and ...
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A distributed, real-time, collaborative visualization (DRCV) system for four dimensional datasets like fMRI images, can be a valuable tool to support scientific and medical research. Software applications supporting D...
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When facing complex requirements of city development, ever-growing spatial data, rapid development of geographical business and increasing business complexity, collaboration between multiple users and departments is n...
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As the number of data-intensive applications increases in various domains, scientists need to save, retrieve, and analyze increasingly large datasets. The huge volume of data and the long latency of data transfer on t...
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ISBN:
(纸本)0769525857
As the number of data-intensive applications increases in various domains, scientists need to save, retrieve, and analyze increasingly large datasets. The huge volume of data and the long latency of data transfer on the Internet make it very difficult to ensure high-performance access to Data Grids. Thus, data replication techniques have been widely adopted to solve the latency problem. In this paper, we propose an efficient data replication algorithm for multi-source data transfer, whereby a data replica can be assembled in parallel from multiple distributed data sources and adapted to the variability of network bandwidths. The experimental results show that the proposed algorithm can obtain more aggregated bandwidth, reduce connection overheads, and achieve superior load balance.
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