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An autonomic intention-oriented programming model, using the Neptune language, then handles its deployment and execution.
In this article we impute economic value for the speed of manufacturing deployment and execution, thereby enabling the value of speed to be properly weighed against costs.
This paper presents strong evidence about the efficacy and the efficiency of HPE Hash Programming Environmentt), a CBHPC platform that provides full support for parallel programming, on the development, deployment and execution of numerical simulation code onto cluster computing platforms.
In this paper, we look at an event-based process deployment and execution infrastructure in which a process model can be automatically partitioned and distributed over different enactment entities, provided some given distribution definition.
At the same time, workflow management systems (WFMS) may support data parallelism over big datasets by providing scalable, distributed deployment and execution of the workflow over a cloud infrastructure.
In this context, innovative frameworks have to be identified for the deployment and execution of pervasive service systems made up of a massive number of components, and able to exhibit properties of self-organization and self-adaptability, and of long-lasting evolvability.
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We show that CWS can model all the phases of the life cycle of service-oriented applications, such as publication, discovery, negotiation, orchestration, deployment, reconfiguration and execution.
A process network deployment and distributed execution is described.
Finally, an application case is studied in detail by illustrating modeling, task deployment, and final execution, and it is shown that the operational system meets the requirements of simplicity, easy modeling, and customizable task deployment.
In this sense, the DEF could be viewed as a PaaS (Platform as a Service)3 that enables the deployment and concurrent execution of library routines.
Despite the rating and estimate revisions, Glavin is staying positive on the stock for the long-term, and says a pickup in orders, telecom capital spending, faster new product deployment and better execution at its largest customers: Cisco, Lucent and Nortel Networks would warrant an upgrade.
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