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The Grid application and resource models are typically very dynamic, making it challenging for a particular model for delivering stable performance all the time.
Moreover we proposed a pattern for describing the Cloud resource and the Cloud application that is compatible with current emerging standards, as proved by the proof-of-concept editor for application and resource description, shortly described in this paper.
The architecture consists of three layers: a low-level internetworking communication-support layer; a coordination layer – managing inter-agent cooperation through intelligent conversation/communication mechanisms; and an agent layer consisting of five categories of agents: interface, collaboration, knowledge management, application and resource agents.
Items relating to guideline implementation such as consideration of facilitators and barriers to application and resource implications of applying the recommendations also achieved scores of less than 3 (Items 18, 20) (Table 4).
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In order to decrease the complexity order, instead of brute-force search in resource and network selection, a policy is developed to assign the resources with the lowest objective values considering the application and resources constraints.
The presented IoT/Cloud infrastructure is available as open source project, which enables community implementations of additional applications and resource management schemes.
With the proliferation of various big data applications and resource demand from Internet data centers (IDCs), the energy cost has been skyrocketing, and it attracts a great deal of attention and brings many energy optimization management issues.
Sensing the resources results in the generation of actual application, environment, and resource descriptors.
A job descriptor consists of one or more application, environment, and resource descriptors.
In other words, all three schemes are useful for different application requirements and resource configurations.
Therefore, a job descriptor comprises application, environment, and resource descriptors which consist all job-specific parameters to be configured.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com