7,354 research outputs found
On the 2D Dirac oscillator in the presence of vector and scalar potentials in the cosmic string spacetime in the context of spin and pseudospin symmetries
The Dirac equation with both scalar and vector couplings describing the
dynamics of a two-dimensional Dirac oscillator in the cosmic string spacetime
is considered. We derive the Dirac-Pauli equation and solve it in the limit of
the spin and the pseudo-spin symmetries. We analyze the presence of cylindrical
symmetric scalar potentials which allows us to provide analytic solutions for
the resultant field equation. By using an appropriate ansatz, we find that the
radial equation is a biconfluent Heun-like differential equation. The solution
of this equation provides us with more than one expression for the energy
eigenvalues of the oscillator. We investigate these energies and find that
there is a quantum condition between them. We study this condition in detail
and find that it requires the fixation of one of the physical parameters
involved in the problem. Expressions for the energy of the oscillator are
obtained for some values of the quantum number . Some particular cases which
lead to known physical systems are also addressed.Comment: 15 pages, 8 figures, matches published versio
SHStream: Self-Healing Framework for HTTP Video-Streaming
HTTP video-streaming is leading delivery of video
content over the Internet. This phenomenon is explained by the
ubiquity of web browsers, the permeability of HTTP traffic
and the recent video technologies around HTML5. However,
the inclusion of multimedia requests imposes new requirements
on web servers due to responses with lifespans that can reach
dozens of minutes and timing requirements for data fragments
transmitted during the response period. Consequently, web-
servers require real-time performance control to avoid playback
outages caused by overloading and performance anomalies. We
present
SHStream
, a self-healing framework for web servers
delivering video-streaming content that provides (1) load admit-
tance to avoid server overloading; (2) prediction of performance
anomalies using online data stream learning algorithms; (3)
continuous evaluation and selection of the best algorithm for
prediction; and (4) proactive recovery by migrating the server
to other hosts using container-based virtualization techniques.
Evaluation of our framework using several variants of
Hoeffding
trees
and
ensemble algorithms
showed that with a small number of
learning instances, it is possible to achieve approximately 98% of
recall
and 99% of
precision
for failure predictions. Additionally,
proactive failover can be performed in less than 1 secon
Reboot-based Recovery of Performance Anomalies in Adaptive Bitrate Video-Streaming Services
Performance anomalies represent one common type
of failures in Internet servers. Overcoming these failures without
introducing server downtimes is of the utmost importance in
video-streaming services. These services have large user abandon-
ment costs when failures occur after users watch a significant part
of a video. Reboot is the most popular and effective technique for
overcoming performance anomalies but it takes several minutes
from start until the server is warmed-up again to run at its
full capacity. During that period, the server is unavailable or
provides limited capacity to process end-users’ requests. This
paper presents a recovery technique for performance anomalies
in HTTP Streaming services, which relies on Container-based
Virtualization to implement an efficient multi-phase server reboot
technique that minimizes the service downtime. The recovery
process includes analysis of variance of request-response times
to delimit the server warm-up period, after which the server
is running at its full capacity. Experimental results show that
the Virtual Container recovery process completes in
72
seconds,
which contrasts with the
434
seconds required for full operating
system recovery. Both recovery types generate service downtimes
imperceptible to end-users
Local and Global Superconductivity in Bismuth
We performed magnetization M(H,T) and magnetoresistance R(T,H) measurements
on powdered (grain size ~ 149 micrometers) as well as highly oriented
rhombohedral (A7) bismuth (Bi) samples consisting of single crystalline blocks
of size ~ 1x1 mm2 in the plane perpendicular to the trigonal c-axis. The
obtained results revealed the occurrence of (1) local superconductivity in
powdered samples with Tc(0) = 8.75 \pm 0.05 K, and (2) global superconductivity
at Tc(0) = 7.3 \pm 0.1 K in polycrystalline Bi triggered by low-resistance
Ohmic contacts with silver (Ag) normal metal. The results provide evidence that
the superconductivity in Bi is localized in a tiny volume fraction, probably at
intergrain or Ag/Bi interfaces. On the other hand, the occurrence of global
superconductivity observed for polycrystalline Bi can be accounted for by
enhancement of the superconducting order parameter phase stiffness induced by
the normal metal contacts, the scenario proposed in the context of "pseudogap
regime" in cuprates [E. Berg et al., PRB 78, 094509 (2008)].Comment: 12 pages including 9 figures and 1 table, Special Issue to the 80th
birthday anniversary of V. G. Peschansky, Electronic Properties of Conducting
System
Presence of stratospheric humidity in the ozone column depletion on the west coast of South America
The ozone column depletion over the western coast of South America has been previously explained, based on the existence of winds in the area of the depletion, which cause compression and thinning of the ozone layer. However, the presence of humidity and methane transported by these winds to the stratosphere where the ozone depletion is present gives evidence that these compounds also participate
in the depletion of the ozone layer. These two compounds, humidity and methane, are analysed during the ozone depletion of January, 1998. It is observed that when humidity presents fluctuations, ozone has fluctuations too. A maximum of humidity corresponds to a minimum of ozone, but there is a shift in altitude between them. This shift is observed in the stratosphere and upper troposphere and
corresponds to approximately 500 m. It is important to point out that during this event El Ni˜no was present and the sources of methane are the Amazon forest and the Pacific Ocean. The data for this study was obtained from NASA and HALOE
Simulation-Based Decision Support System for Energy Efficiency in Buildings Retrofitting
Funding Information: This research was developed under project EnPROVE (Energy Consumption Prediction with Building Usage Measurements for Software-Based Decision Support) funded by the European Union’s Seventh Framework Programme (Grant agreement ID: 248061). Partial support was also given by the Portuguese “Fundação para a Ciência e Tecnologia (FCT)” through the project UIDB/00066/2020 (Center of Technology and Systems, CTS). Publisher Copyright: © 2022 by the authors.The implementation of building retrofitting processes targeting higher energy efficiency is greatly influenced by the investor’s expectations regarding the return on investment. The baseline of this work is the assumption that it is possible to improve the predictability of the post-retrofit scenario, both in energy and financial terms, using data gathered on how a building is being used by its occupants. The proposed approach relies on simulation to estimate the impact of available energy-efficient solutions on future energy consumption, using actual usage data. Data on building usage are collected by a wireless sensor network, installed in the building for a minimum period that is established by the methodology. The energy simulation of several alternative retrofit scenarios is then the basis for the decision support process to help the investor directing the financial resources, based on both tangible and intangible criteria. The overall process is supported by a software platform developed in the scope of the EnPROVE project. The platform includes building audit, energy consumption prediction, and decision support. The decision support follows a benefits, opportunities, costs, and risks (BOCR) analysis based on the analytic hierarchy process (AHP). The proposed methodology and platform were tested and validated in a real business case, also within the scope of the project, demonstrating the expected benefits of alternative retrofit solutions focusing on lighting and thermal comfort.publishersversionpublishe
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