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In this paper, a hierarchical content distribution architecture for the telecom cloud is investigated: core DCs placed in geographically distributed locations, are interconnected through permanent "per content provider" (CP) virtual network topologies (CP-VNT); additionally, metro DCs need to be interconnected with the core DCs.
Moreover, we want to verify if assumption "A" still can be rejected when modeling the audiovisual quality per content.
This confirms that assumption "A" needs to be rejected also when modeling the audiovisual quality per content.
The NALS data also contains M=5 plausible values per content area and individual, constructed using the methods outlined above.
Note that in the following, and unlike [18], we do not average the ratings across all contents but per content.
The average system cost of CCSOA is evaluated, which is the average weighted hop to get the contents for per content request.
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While available cache contention situations from the literature were solved by considering each storage as one autonomous and self managed cache, we propose in this paper to address this contention situation by segmenting the storage on a per-content provider basis (e.g., each CP receives a portion of the storage space depending on its storage demand).
In particular, given that different types of content have different performance requirements, we provide a multi-objective optimization formulation for the problem of activating appropriate subsets of users as relays and deciding on their transmission rates, optimizing for different criteria, such as reliability, performance, and energy cost on a per-content item basis.
This is in accordance with the observations made on the correlation values shown in Table 3, Section 3. When modeling the per-content data (coefficients of rows "A" to "E"), we observe that the model pattern depends on the content.
Google's AdSense is completely optimized for short-format, low cost-per-impression content, with the highest cost per click reaching just over $100.
Nectar volume per flower, sugar content per flower, sugar content per plant, number of flowers per plant and biomass per flower data were log-transformed and nectar sugar concentration per flower was logit-transformed to deal with the constraints of percentage data.
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