2,325 research outputs found
DD correlations as a sensitive probe for thermalization in high-energy nuclear collisions
We propose to measure azimuthal correlations of heavy-flavor hadrons to address the status of thermalization at the partonic stage of light quarks and gluons in high-energy nuclear collisions. In particular, we show that hadronic interactions at the late stage cannot significantly disturb the initial back-to-back azimuthal correlations of DDbar pairs. Thus, a decrease or the complete absence of these initial correlations does indicate frequent interactions of heavy-flavor quarks and also light partons in the partonic stage, which are essential for the early thermalization of light partons
AppShot: A Conditional Deep Generative Model for Synthesizing Service-Level Mobile Traffic Snapshots at City Scale
Shrinking VOD Traffic via Rényi-Entropic Optimal Transport
In response to the exponential surge in Internet Video on Demand (VOD) traffic, numerous research endeavors have concentrated on optimizing and enhancing infrastructure efficiency. In contrast, this paper explores whether users’ demand patterns can be shaped to reduce the pressure on infrastructure. Our main idea is to design a mechanism that alters the distribution of user requests to another distribution which is much more cache-efficient, but still remains ‘close enough’ (in the sense of cost) to fulfil each individual user’s preference. To quantify the cache footprint of VOD traffic, we propose a novel application of Rényi entropy as its proxy, capturing the ‘richness’ (the number of distinct videos or cache size) and the ‘evenness’ (the relative popularity of video accesses) of the on-demand video distribution. We then demonstrate how to decrease this metric by formulating a problem drawing on the mathematical theory of optimal transport (OT). Additionally, we establish a key equivalence theorem: minimizing Rényi entropy corresponds to maximizing soft cache hit ratio (SCHR) — a variant of cache hit ratio allowing similarity-based video substitutions. Evaluation on a real-world, city-scale video viewing dataset reveals a remarkable 83% reduction in cache size (associated with VOD caching traffic). Crucially, in alignment with the above-mentioned equivalence theorem, our approach yields a significant uplift to SCHR, achieving close to 100%
SpectraGAN: Spectrum based Generation of City Scale Spatiotemporal Mobile Network Traffic Data
D-Dbar Correlations as a sensitive probe for thermalization in high-energy nuclear collisions
We propose to measure azimuthal correlations of heavy-flavor hadrons to
address the status of thermalization at the partonic stage of light quarks and
gluons in high-energy nuclear collisions. In particular, we show that hadronic
interactions at the late stage cannot significantly disturb the initial
back-to-back azimuthal correlations of DDbar pairs. Thus, a decrease or the
complete absence of these initial correlations does indicate frequent
interactions of heavy-flavor quarks and also light partons in the partonic
stage, which are essential for the early thermalization of light partons.Comment: 5 pages, 4 figures. Version accepted for publication in Phys.Lett.
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