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Trust Model for Optimized Cloud Services
Cloud computing with its inherent advantages draws attention for business critical applications, but concurrently expects high level of trust in cloud service providers. Reputation-based trust is emerging as a good choice to model trust of cloud service providers based on available evidence. Many existing reputation based systems either ignore or give less importance to uncertainty linked with the evidence. In this paper, we propose an uncertainty model and define our approach to compute opinion for cloud service providers. Using subjective logic operators along with the computed opinion values, we propose mechanisms to calculate the reputation of cloud service providers. We evaluate and compare our proposed model with existing reputation models
On the modulation of low frequency Quasi-Periodic Oscillations in black-hole transients
We studied the properties of the low-frequency quasi-periodic oscillations
detected in a sample of six black hole candidates (XTE J1550-564, H 1743-322,
XTE J1859+226, 4U 1630-47,GX 339-4, XTE J1650-500) observed by the Rossi XTE
satellite. We analyzed the relation between the full width half maximum and the
frequency of all the narrow peaks detected in power density spectra where a
type-C QPO is observed. Our goal was to understand the nature of the modulation
of the signal by comparing the properties of different harmonic peaks in the
power density spectrum. We find that for the sources in our sample the width of
the fundamental and of the first harmonic are compatible with a frequency
modulation, while that of the sub-harmonic is independent of frequency,
possibly indicating the presence of an additional modulation in amplitude. We
compare our results with those obtained earlier from GRS 1915+105 and XTE
J1550-564.Comment: 8 pages, 3 figures, accepted for publication in Monthly Notices of
the Royal Astronomical Society Main Journa
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