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In a distributed computing environment, comprised of multiprocessor architecture computational sites, ideally each OU pipeline will be assigned to a single processor.
The master node is supplied with basic information like the description of the workflow and input data, the object storage and the computational sites.
As both the OU pipelines and the computational sites are largely heterogeneous, the first step is performing an estimation regarding both the OU pipeline loads and the processing power of the sites.
Furthermore, in a heterogeneous environment of computational sites of varying processing power and OU pipelines of largely unequal computational loads, load balancing must be performed in order to map the OU pipelines into sites.
In a hybrid cloud environment, which this work addresses, as computational sites will belong to different cloud vendors and private infrastructures, the file transfer cost can be significant and may even approach the worst case scenario.
The execution environment is comprised of a number of computational sites having a UNIX based operating system and a global, universally accessible cloud storage similar to Amazon S3, referred to as object storage.
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The internal scheduler automatically identifies the number of CPUs on the computational site and sets the number of simultaneous processing slots accordingly.
The only requirement for using a computational site is the existence of a standard user account and accessibility over the SSH protocol.
Because of these problems and a lack of communication between scientists and managers, the impact of computational site-selection tools in applied conservation planning has been minimal.
In this paper, an alternative DS model which addresses the important phenomenon of soil resonance without the need of computational site response analysis of the subsurface model of the site is introduced.
After the measurements were performed at a remote site, the raw data were transmitted through the cellular phone to a central computational site and the classifier was applied to the raw data.
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