19,169 research outputs found
Aging after shear rejuvenation in a soft glassy colloidal suspension: evidence for two different regimes
The aging dynamics after shear rejuvenation in a glassy, charged clay
suspension have been investigated through dynamic light scattering (DLS). Two
different aging regimes are observed: one is attained if the sample is
rejuvenated before its gelation and one after the rejuvenation of the gelled
sample. In the first regime, the application of shear fully rejuvenates the
sample, as the system dynamics soon after shear cessation follow the same aging
evolution characteristic of normal aging. In the second regime, aging proceeds
very fast after shear rejuvenation, and classical DLS cannot be used. An
original protocol to measure an ensemble averaged intensity correlation
function is proposed and its consistency with classical DLS is verified. The
fast aging dynamics of rejuvenated gelled samples exhibit a power law
dependence of the slow relaxation time on the waiting time.Comment: 7 pages, 6 figure
Frequency Dependence of Aging, Rejuvenation and Memory in a disordered ferroelectric
We characterize in details the aging properties of the ferroelectric phase of
K Ta_{1-x} Nb_x O_3 (KTN), where both rejuvenation and (partial) memory are
observed. In particular, we carefully examine the frequency dependence of
several quantities that characterize aging, rejuvenation and memory. We find a
marked subaging behaviour, with an a.c. dielectric susceptiblity scaling as
, where is the waiting time. We suggest an
interpretation in terms of pinned domain walls, much along the lines proposed
for aging in a disordered ferromagnet, where both domain wall reconformations
and overall (cumulative) domain growth are needed to rationalize the
experimental findings.Comment: submitted to EPJ
Rejuvenation and Memory in model Spin Glasses in 3 and 4 dimensions
We numerically study aging for the Edwards-Anderson Model in 3 and 4
dimensions using different temperature-change protocols. In D=3, time scales a
thousand times larger than in previous work are reached with the SUE machine.
Deviations from cumulative aging are observed in the non monotonic time
behavior of the coherence length. Memory and rejuvenation effects are found in
a temperature-cycle protocol, revealed by vanishing effective waiting times.
Similar effects are reported for the D=3$site-diluted ferromagnetic Ising model
(without chaos). However, rejuvenation is reduced if off-equilibrium
corrections to the fluctuation-dissipation theorem are considered. Memory and
rejuvenation are quantitatively describable in terms of the growth regime of
the spin-glass coherence length.Comment: Extended protocols. Accepted in Phys. Rev. B. 10 postscript figure
Software Aging Analysis of Web Server Using Neural Networks
Software aging is a phenomenon that refers to progressive performance
degradation or transient failures or even crashes in long running software
systems such as web servers. It mainly occurs due to the deterioration of
operating system resource, fragmentation and numerical error accumulation. A
primitive method to fight against software aging is software rejuvenation.
Software rejuvenation is a proactive fault management technique aimed at
cleaning up the system internal state to prevent the occurrence of more severe
crash failures in the future. It involves occasionally stopping the running
software, cleaning its internal state and restarting it. An optimized schedule
for performing the software rejuvenation has to be derived in advance because a
long running application could not be put down now and then as it may lead to
waste of cost. This paper proposes a method to derive an accurate and optimized
schedule for rejuvenation of a web server (Apache) by using Radial Basis
Function (RBF) based Feed Forward Neural Network, a variant of Artificial
Neural Networks (ANN). Aging indicators are obtained through experimental setup
involving Apache web server and clients, which acts as input to the neural
network model. This method is better than existing ones because usage of RBF
leads to better accuracy and speed in convergence.Comment: 11 pages, 8 figures, 1 table; International Journal of Artificial
Intelligence & Applications (IJAIA), Vol.3, No.3, May 201
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Skeletal muscle as an experimental model of choice to study tissue aging and rejuvenation.
Skeletal muscle is among the most age-sensitive tissues in mammal organisms. Significant changes in its resident stem cells (i.e., satellite cells, SCs), differentiated cells (i.e., myofibers), and extracellular matrix cause a decline in tissue homeostasis, function, and regenerative capacity. Based on the conservation of aging across tissues and taking advantage of the relatively well-characterization of the myofibers and associated SCs, skeletal muscle emerged as an experimental system to study the decline in function and maintenance of old tissues and to explore rejuvenation strategies. In this review, we summarize the approaches for understanding the aging process and for assaying the success of rejuvenation that use skeletal muscle as the experimental system of choice. We further discuss (and exemplify with studies of skeletal muscle) how conflicting results might be due to variations in the techniques of stem cell isolation, differences in the assays of functional rejuvenation, or deciding on the numbers of replicates and experimental cohorts
Glassy dynamics in thin films of polystyrene
Glassy dynamics was investigated for thin films of atactic polystyrene by
complex electric capacitance measurements using dielectric relaxation
spectroscopy. During the isothermal aging process the real part of the electric
capacitance increased with time, whereas the imaginary part decreased with
time. It follows that the aging time dependences of real and imaginary parts of
the electric capacitance were primarily associated with change in volume (film
thickness) and dielectric permittivity, respectively. Further, dielectric
permittivity showed memory and rejuvenation effects in a similar manner to
those observed for poly(methyl methacrylate) thin films. On the other hand,
volume did not show a strong rejuvenation effect.Comment: 7 pages, 7 figures. Phys. Rev. E (in press
Aging and Rejuvenation with Fractional Derivatives
We discuss a dynamic procedure that makes the fractional derivatives emerge
in the time asymptotic limit of non-Poisson processes. We find that two-state
fluctuations, with an inverse power-law distribution of waiting times, finite
first moment and divergent second moment, namely with the power index mu in the
interval 2<mu <3, yields a generalized master equation equivalent to the sum of
an ordinary Markov contribution and of a fractional derivative term. We show
that the order of the fractional derivative depends on the age of the process
under study. If the system is infinitely old, the order of the fractional
derivative, ord, is given by ord=3-mu . A brand new system is characterized by
the degree ord=mu -2. If the system is prepared at time -ta<0$ and the
observation begins at time t=0, we derive the following scenario. For times
0<t<<ta the system is satisfactorily described by the fractional derivative
with ord=3-mu . Upon time increase the system undergoes a rejuvenation process
that in the time limit t>>ta yields ord=mu -2. The intermediate time regime is
probably incompatible with a picture based on fractional derivatives, or, at
least, with a mono-order fractional derivative.Comment: 11 pages, 4 figure
Analysis of Software Aging in a Web Server
A number of recent studies have reported the phenomenon of “software aging”, characterized by progressive performance degradation and/or an increased occurrence rate of hang/crash failures of a software system due to the exhaustion of operating system resources or the accumulation of errors. To counteract this phenomenon, a proactive technique called 'software rejuvenation' has been proposed. It essentially involves stopping the running software, cleaning its internal state and/or its environment and then restarting it. Software rejuvenation, being preventive in nature, begs the question as to when to schedule it. Periodic rejuvenation, while straightforward to implement, may not yield the best results, because the rate at which software ages is not constant, but it depends on the time-varying system workload. Software rejuvenation should therefore be planned and initiated in the face of the actual system behavior. This requires the measurement, analysis and prediction of system resource usage. In this paper, we study the development of resource usage in a web server while subjecting it to an artificial workload. We first collect data on several system resource usage and activity parameters. Non-parametric statistical methods are then applied for detecting and estimating trends in the data sets. Finally, we fit time series models to the data collected. Unlike the models used previously in the research on software aging, these time series models allow for seasonal patterns, and we show how the exploitation of the seasonal variation can help in adequately predicting the future resource usage. Based on the models employed here, proactive management techniques like software rejuvenation triggered by actual measurements can be built. --Software aging,software rejuvenation,Linux,Apache,web server,performance monitoring,prediction of resource utilization,non-parametric trend analysis,time series analysis
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