It can support smart phone so that you can monitor and control your home, office, shop and factory anytime and anywhere. A built-in microphone to the camera allows you to listen the voice over the internet in real time. Support 2 kinds of H.264 video stream and 1 way MJPEG video stream simultaneously, suitable for Local, Internet and Cross-platform view. Built-in microphone, and also support to connect external audio capturing device (like MIC phone or sound pick-up) to capture the audio.
Motion detection and alarm pin can be connected to external sensors to detect environmental situation. Manufacture provides free software, support Multi-view, Long time recording, video replay etc. In order to celebrate the happy union (between LSA and Ella Doran) the two companies will be hosting a not-to-be missed shopping event. Free gifts for the first 10 customers and a gift for every purchase over A?30.00 as well as a prize draw! Thursday 13th of May sees the event opening with a late night shopping opportunity, delicious drinks will be served from the popular LSA Coro range and delightful canapes will be presented on the classic Ella Doran Meadow collection.
It is definitelyA the summer wedding season and what better way to kick it off than with a fashionable double-whameyA in the shape of Vogue's Pippa Holt and Marketing Editor Emma Elwick. AA holding diamond, an enternity band or a Tiffanys must-have, it needs to be 100% the right ring. May's issue of Vogue had a great article called 'A Tale of Two Dresses' which followed the two Vogue Editors quests to find their perfect wedding gowns. I have to sayA I would want to steer clear of fairytale bridal like Emma who,A "wanted to look like a 'wedding take' on my usual relaxed look, so chose a cocktail length dress, with sweet pockets that I could have a ball in". Close on the heels of the Vogue girls, was our favourite blogger Mademoiselle RobotA who did the dead wearing Luella with flowers in her hair. For those of us who aren't Fashion Editors or Super Stylists, it's great that brands offer a bespoke service for those wedding fears. It's that time of year again when the fashion elite decend on our humbletown to see what the creatives have come up with. This chapter explains why you should read this book and how it can help you with any computer performance problem, now or in the future.
Some have hundreds of pages of very difficult math that most people cana€™t do and most problems dona€™t require. There are so many different technologies in your transaction path; to read all the necessary books would take longer than the average corporate lifetime. Almost all manuals about a specific version of a technology were written under tremendous time pressure at about the same time the engineering was being completed; thus the engineers had little time to talk to the writers.
What Ia€™m about to tell you will work for any collection of computers, running any software that has ever been built.
Whether you are studying the slow response time of a computer, the root cause of a traffic jam, or why you are always in the slowest line, understanding those forces gives you a big insight into why this is happening. Many parts of this book help you solve the diversity and complexity problems mentioned earlier by helping you quickly determine that large chunks of your computing infrastructure are not the problem. Once focused, a large fraction of everyonea€™s effort is spent working in the right place and on the right problem.
If you can replace S with the number 2 and U with the number 0.5 and calculate that R is equal to (spoiler alert) 4, then you have all the math you need for a long career in performance. In the future, money will still be important, humans will still want to avoid risk, office politics will still matter, and there will be many ways that you can be right, but still fail because you did not pay attention to the people involved.
Having worked many performance problems from problem discovery, through solution presentation to senior management, and then on to problem resolution, Ia€™ve made a few mistakes and learned a few tricks. If you are impressed with work experience, then read on as Ia€™ve spent the last 25 years teaching performance fundamentals, capacity planning, modeling, and performance testing of websites. If you are a person who is only impressed with academic qualifications then I have few to offer you. Your business depends on a collection of computers, software, networking equipment, and specialized devices. All companies have an internal language and shorthand terms they use when describing the subset of the entire computing universe that determines their customera€™s experience.
In performance monitoring you need to know three things: the incoming workload, the resource consumption and what is normal. You need to know the incoming workload (what the users are asking your system to do) because all computers run just fine under no load. Expected problems are when the users are simply asking the application for more things per second than it can do. Unexpected problems are when the incoming workload should be well within the capabilities of the application, but something is wrong and either the end-user performance is bad or some performance meter makes no sense.
On any given day you, as the performance person, should be able to have a fairly good idea of how much work the users are asking the system to do and what the major performance meters are showing. With rare exception Ia€™ve found the lack of easily available workload information to be the single best predictor of how bad the situation is performance wise. The data you collect can also be used to predict the future with the other three tools in your bag: Capacity Planning, Load Testing, and Modeling.
Capacity planning is the simple science of scaling the observed system so you can see if you have enough resources to handle the projected peak load, but it only works for resources you know about.
Capacity planning is like a pre-party checklist where you check if there are enough: appetizers, drinks, glasses, places to sit, etc.
Capacity planning starts by gathering key performance meters at a peak time on a reasonably busy day.
Now scale (multiply) the observed meters by the bossa€™s answer to get the projected peak utilization. In my experience, the application is rarely reengineered unless the inefficiency is egregious and the fix is easy and obvious. Capacity planning can be that simple, but there are a few more things you need to consider.
Even though you base your projections on one peak day, you should look at the data over a period of a few days to a few weeks. Capacity planning can show you how busy key resources are at peak load, but it cana€™t tell you about response time changes as the load increases. Load testing is the art of creating artificially generated work that mimics the real work generated by the real users.
Load tests depend on good performance monitoring to keep an eye on critical system resources as the load builds. For a load test to be really useful it must test the entire part of the transaction path that you care about. Load testing can also help you find where subsystems break, and isolate the effect of one transaction type. Load testing can tell you many interesting things, but it can only give you data on the computing infrastructure you have now.
If you need to predict a future that is different from your present, then you need to model. When your boss asks you to predict future performance of some application, first see if you can do a simple capacity plan.
This model of Hurricane Irene is accurate enough for anyone with a house on the Gulf of Mexico and it looks hopeful for Floridaa€™s Atlantic coast as well.
In a computer context, imagine your model shows that at peak load this servera€™s CPU is 20% busy. Unfortunately, the above model of Hurricane Irene, at that moment, could not see far enough into the future to predict the devastating flooding Irene would cause in my home state of Vermont. If you respect these limits, modeling is doable, useful and has its place when you are asking questions about the future. This chapter shows you how to gain confidence you will make it smoothly though a projected future peak load by scaling up your current observed load. This chapter gives you practical advice on how to load test an existing application to see if can really handle the upcoming peak.
This chapter dispels the myth of modeling complexity and shows how modeling performance can save you a lot of time and money. This chapter teaches you how to present your results so that they are understood and are believable.
This book is concise, useful, and occasionally funny.A It gives you the tools needed to explore, and discover the hidden truths about your computing world.
Unfortunately, the above model of Hurricane Irene, at that moment, could not see far enough into the future to predict the devastating flooding Irene would cause in my home state of Vermont.A All models have limits. Experimental results are shown for three energies in a coplanar symmetric geometry, and for three energies in an asymmetric geometry. Ionization of atomic and molecular targets is one of the most complex and fundamental collision processes that can be studied in detail. To fully characterize these interactions, it is necessary to perform sophisticated measurements where an incident electron of well controlled momentum scatters and ionizes the target.
In these (e,2e) experiments, information about the collision is obtained by measuring the outgoing momenta of the collision products. For molecular targets, it is difficult to know the orientation and alignment of the molecule prior to the interaction occurring, unless this can be defined prior to the collision or can be measured following the collision.
The interaction of low to intermediate energy electrons with molecular targets has been much less studied compared with high energy electron collisions. Experiments on molecular targets often employ effusive beams produced at room temperature, and so the targets may have internal rotational and vibrational energy.
Results are presented here for an H2O target at significantly lower energies than has been studied before.
Figure 1.1 Representation of the 1b1 state of H2O, showing an incident electron ionizing the molecule. The experiments described here were carried out in the fully computer controlled and computer optimized (e,2e) spectrometer that operates in Manchester. For the coplanar symmetric experiments described here, the electron detectors were moved so that their angles with respect to the incident beam direction were equal to each other throughout measurement (see figure 1.2).
For coplanar asymmetric experiments, analyzer 1 was fixed at a scattering angle thetaa = 22A°, while analyzer 2 was swept around the scattering plane.
The fixed scattering angle thetaa = 22A° was chosen as this was the smallest angle that could be used without the incident electron beam from the gun striking the side of the analyzer (and so producing unacceptable levels of noise on the coincidence signal). The energy resolution of the spectrometer is set by the resolution of the electron gun and the pass energy of the analyzers. Production of a high quality molecular beam of H2O required careful monitoring of the experiment as it progressed. The de-gassed water was then transferred to a 150mm long tubular stainless steel flask which was connected to the main vacuum system using a swagelok fitting. An AD590 sensor was secured to the aluminium block surrounding the flask, so that the temperature of the insulated assembly could be monitored and controlled.
To monitor the molecular beam inside the vacuum chamber produced from the water, a quadrupole mass spectrometer was installed onto the spectrometer.
Figure 1.3 shows a typical coincidence energy spectrum obtained from the experiment during operation. The experiments were carried out over a period of several months, using electron beam currents ~200nA for all data runs. As the incident energy increases, the ratio of forward to backward scattering cross section increases, as has been seen for most atomic targets in this geometry. The measured coplanar asymmetric data is shown in figure 4, again normalized to unity at thetab = 45A°.
As the incident energy is increased to 55eV above threshold, the forward lobe splits into two clear peaks of approximately equal magnitude, as seen in figure 1.5(b). Results from the 1b1 state of water have been presented for coplanar symmetric and asymmetric energies. These results have been compared to a DWBA theory in the paper J Phys B, however the averaging used in this theory was not a good approximation, and so is not expected to yield accurate results for this state. Experimental results are presented for electron impact ionization of water in the energy regime from near threshold to intermediate energies. Results of a sophisticated model which approximates the random orientation of the target using a spherical averaging of the wave-function prior to the collision, using sophisticated distorted wave Born calculations that include post-collisional interactions in first order and to all orders of perturbation theory are also shown for comparison (see J. The calculations predict the data most accurately at the lowest energy studied (4eV above threshold) in a coplanar symmetric geometry, whereas the comparison between theory and experiment is generally poor for higher energies and for non-coplanar geometries.
Energy deposition and angular distributions resulting from electron collisions with water are used in charged particle track structure analyses to model radiation damage in biological samples.
These low energy electrons have an effect over a much wider volume than the targeted cancer site.
At incident energies less than ~200eV, the collision dynamics are strongly influenced by effects including post-collision interactions, target polarization, distortions in the wave-functions for the participating electrons and multiple collisions. Current models now yield reasonable agreement with experimental data for a range of atoms, implying a good understanding of the collision dynamics under the conditions used in the experiments, and these models are now being extended to low energy (e,2e) collisions from molecules.
Recent experiments studying simple diatomic targets including H2 and N2 have provided benchmark data. The apparatus at Manchester can also access non-coplanar geometries, and so has provided additional data to further test these models. In a previous study the groups at Manchester and Missouri investigated the 1b1 (HOMO) state of H2O in coplanar kinematics. By contrast, the 3a1 orbital of interest here is involved in the O-H bonding and has a charge density distribution distorted from that of a symmetric atomic like orbital. The experimental triple differential cross sections (TDCS) presented here were measured in the (e,2e) apparatus at the University of Manchester.
The spectrometer can be operated in a standard coplanar geometry where the momenta of all three electrons (the incident and two outgoing electrons) are within the same detection plane (psi = 0A°, figure 2.1). The power supplies for the electrostatic lenses in the electron gun and the electron analyzers are fully computer controlled and computer optimized, allowing for automated tuning at regular intervals, with the analyzers being re-optimized each time they move to a new angle.
The energy of the spectrometer was re-calibrated at the start of each new kinematic arrangement, by measuring the coincidence binding energy spectrum. Over the course of this study the binding energy spectra were recorded for various energies and geometries, and it is estimated that contamination from neighbouring orbitals was always less than 10%, and is more typically in the range of 0.5%. The distilled water sample used to provide the molecular target beam was contained within a 50mm diameter 100mm long stainless steel vessel sealed by a CF-70 flange to a 6.35mm swagelok fitting. The sample vessel and gas handling line were held at a constant temperature of 50A?C throughout data collection, so as to create sufficient driving pressure for the target beam. The purity of the target beam was verified with a Spectra VacScan mass spectrometer fitted to the scattering chamber. The background pressure within the scattering chamber was set to 1.1 x 10-5 torr during operation, and was found to remain constant throughout all data runs.
During these experiments we observed an unusual behaviour of the tungsten hairpin filament used as the incident electron source.
To facilitate this, the current measured by the Faraday cup located on the opposite side of the interaction region to the electron gun was monitored by the computer control software, and the current through the filament adjusted to maintain a beam current of 300nA throughout data collection. In the present study we also measured the coincidence energy resolution from ionization of helium, and found this did not change, indicating that the temperature of emission remained approximately constant. The data presented in figures 3-5 were then averaged over these angular sweeps, and the uncertainties in the measurements determined from the complete set of data for each scattering angle.
The experimental data are not measured on an absolute scale and so experiment and theory are normalized to a maximum of unity at each energy, as shown in figure 2.2.
As the energy of the outgoing electrons is lowered, it would be expected that the Coulomb repulsion between the outgoing electrons should play an increasingly important role, driving the electrons apart.
The best agreement between experimental data and theory is at the lowest energy, where the experimental data and MDW model are in excellent agreement for the binary peak.
A key advantage of the spectrometer in Manchester is the ability to measure data for kinematics in non-coplanar geometries. Non-coplanar measurements were hence taken here with both outgoing electrons having an energy of 10eV. As shown in figure 1, the geometry adopted in this spectrometer provides a common normalization point (xi1 = xi2 = 90A°) for all gun angles psi, which allows ALL data at a given energy to be referenced to a common point. For the current measurements, the coplanar data have been normalized to a maximum of unity, as before. The data in figure 2.3 show a clear trend indicating the binary and recoil peaks diminish in magnitude as the angle of the electron gun angle increases. The data contrasts strongly with the theoretical models for the larger gun angles y, where the theories predict significantly more structure than is seen in the data.
The final kinematic configuration used symmetric geometries and 20eV excess energy as above, however in this case the data are for unequal energy sharing between the outgoing electrons. The data were only taken for coplanar and perpendicular plane geometries, so as to contrast differences in these two extremes. The key differences that can be seen in these data for the coplanar geometry are that the binary peak moves to a smaller angle as the energy asymmetry increases, as might be expected from post collisional interactions.
Agreement is mixed, and rather surprisingly gives best results at low energies, where it might be expected that the approximations are least accurate.
The experimental results for both equal and non-equal energy sharing in the perpendicular plane show almost no structure, whereas the theoretical calculations predict that three clearly defined lobes should be seen. This work was supported by the University of Manchester and the US National Science Foundation under Grant.
12.A A Naja A, Staicu-Casagrande E M, Lahmam-Bennani A, Nekkab M, Mezdari F, Joulakian B, Chuluunbaatar O and Madison D H 2007 J.
However, it was a little over bright but you can adjust the Brightness and Contrast through the web-interface.
External speaker can play the voice sent to the live scene, to achieve two-way intercom function. Whether it's a romantic walk, a holiday in Paris, orA a proposal on a rowing boatA - the real thing us girls are looking to see is the ring.
I recall a friend of mine searching for three days straight, going to jewellers all around trying to find THE ring. Using the words 'custom-made', 'lace' and 'Erdem' to describe your wedding dress, would have most women clawing with jealouslyA into their bridal magazines, sobbing about the off-the-rack dress they had chosen.
Everything (hardware, operating systems, networking, applications, users, corporate goals, org charts, priorities, and budgets) changes over time and with change comes new performance challenges. It will continue to be useful 100 years from now when todaya€™s technology, if it runs at all, will look as quaint as a mechanical cuckoo clock. They help you make sense out of the performance meters you do understand and help keep you from making big mistakes.
It shows you how to use the scientific method to decipher what they mean and how to find patterns in the raw data.
This rapidly focuses your companya€™s full and undivided attention on the small part of your computing world (System Z) that is causing the performance problem. Now, the right experts can be consulted and business decisions can be made to fix or work around the problem.
I spent about 15 of those years also doing performance work on live systems and critical applications for customers around the world. Ia€™ve had plenty of practice in my standup teaching as well as when working with customers. Back in the 70a€™s he wrote this wonderful little book about repairing literally any bicycle. It usually includes dealing with immediate performance problems or collecting data that will be used by the other three tools to plan for future peak loads. Without these three things you can only solve the most obvious performance problems and have to rely on tools outside the scientific realm (such as a Ouija Board, or a Magic 8 Ball) to predict the future. If you have a good sense of what is normal for your situation, then any abnormality will jump right out at you in the same way you notice subtle changes in a loved one that a stranger would miss.
Your meters should be running all the time (like bank security cameras) so that when weird things happen you have a multitude of clues to look at.
Assuming you know how many guests will show up and have a reasonable understanding of what they will consume, everything you checked should be fine. Almost any day will do, as long as the system load is high enough to clearly differentiate it from the idle system load. In most situations, people tend to value application stability more than the money they will spend to solve the problem with more hardware. This gives you a clear picture where the usual daily peaks are and if there are things going on at odd times that you have to factor into any changes you propose. Even if you had perfect metering, doing the math would be a staggering challenge and, even, then youa€™d be gambling the business on reams of calculations.
These resources take a little more work and creativity to capacity plan for, but this is completely doable.
It can be done in a few days, presented in a few slides and prepared with few additional costs or risks. The overall load starts off low and then increases in stages to the point where you achieved your goal or you fail because some resource has hit a limit and has become a bottleneck.
For any test you need to know how much work you are sending into the system, the throughput and response time for the completed work, and how the system resources are responding under that load. If your product is your website then you need to test from where your users are: all the way in and all the way back to where they live. If you only got half way to your goal before you hit a bottleneck, then every measured resource is going to be doing twice the work once you fix the current bottleneck. Imagine your workload is an even mix of Red and Blue transactions, but it is the Blue transactions that really exercise some key component of your computing world. To use a metaphor, running a race tells you about your current aerobic capacity, not the capacity you will have after six more months of training. To model, you are going to need the data you collected with performance monitoring and maybe some data from load tests. Everyday, in companies all over the world, regular people build simple models that answer important business questions. If circumstances change so much that you lack confidence in that prediction, then try modeling. Either you can directly measure the performance of a live system under load, or you have to guess about a theoretical future situation. It doesna€™t take a genius to understand that your model could be off by a lot and the server would still have plenty of CPU power left. This chapter gives you the keys to understanding all computer performance problems and provides an important foundation for the next four chapters. With it, and some work on your part, youa€™ll be able to solve performance problems and to walk into the CIOa€™s office with confidence. There are utilization meters that tell you how busy a resource is, there are count meters that count interesting events (some good, some bad), and there are duration meters that tell you how long something took. A useful answer is: accurate enough to answer your question with a reasonable margin of safety. Coplanar symmetric and asymmetric electron impact ionization studies from the 1b1 state of H2O at low to intermediate impact energies.
The experimental data show a wide variation in the cross section over this range of energies. These ionizing collisions are important in a wide range of different areas, ranging from plasma physics, astrophysics, atmospheric physics, medical and biological processes involving low energy electrons through to the study of high voltage discharges.
The scattered electron is then detected in time correlated coincidence with either the electron ejected during ionization, or with the resulting ion. This is usually accomplished by determining a cross section that is five fold differential in angle and energy.
In most cases, this means that an averaging over the orientation of the target must be included for theory to compare with experimental results. This energy region (from threshold to ~200eV) is important as it is here that the cross section for ionization is largest.
The ionization potential from these ground ro-vibrational states is usually less defined than for atomic targets, due to the associated Franck-Condon overlap between the potential energy curves of the neutral molecules and the resulting ions.
This apparatus is described in detail on other web pages on this fileserver, and has been designed to operate in the energy regime from ~10eV to ~300eV.
In this configuration, the energies selected for the scattered and ejected electrons were equal. The inner diameter of this flask was 9mm, and the outside diameter was 12.7mm, so that a standard swaged fitting could be used. This was accomplished using a Newport model 325 temperature controller, which supplied drive current to the TEC. This proved invaluable, as it was then possible to continuously monitor the background gases in the chamber during operation.
In this example, the analyzers were set to pass electrons of energy 20eV, and a symmetric geometry was chosen with thetaa = thetab = 45A°.
Over this period of time, the filament current driving the cathode had to be steadily decreased, probably since the water vapour within the vacuum chamber slowly reduced the diameter of the filament. The data is normalized to unity at thetaa = thetab = theta = 45A°, since the results have not been placed on an absolute scale. Results were taken in symmetric coplanar and non-coplanar geometries, with both equal and non-equal outgoing electron energies. The human body, and other biological material comprise of ~80% water, which makes it an ideal test case to investigate processes occurring in the body.
These models are an active area of research since the observation that high energy radiation that is used to treat cancers also liberates many low energy electrons, causing additional damage to cell DNA. Knowledge of the collision dynamics of low energy electrons with biological systems is hence needed, so as to develop robust models of these processes. In such experiments the energy and momenta of the outgoing electrons are measured, giving a five fold differential cross section. In this regime these processes must be considered on an equal basis, and so the complexity of the interactions means that theoretical studies have mainly been limited to atomic targets.
This contrasts to atoms which have a single nuclear scattering centre, and which can hence be described using a spherical basis.
A further challenge arises since the experiments cannot, at present, align the molecules prior to the collision, so the models must consider the random orientation of the targets for accurate comparison.
The majority of data is recorded in a coplanar geometry, where the incident and two outgoing electrons are in the same plane, and were conducted at a higher incident energy than the studies presented here.
The symmetry of the 2py oxygen atomic orbital, representing the lone pair of electrons on the oxygen atoms, prevents it from hybridizing with the H atomic orbital, leaving the molecular 1b1 HOMO orbital essentially atomic like, and therefore symmetric. However, the orientation averaged molecular orbital used in the theoretical calculation is a bad approximation for that state given the cancellations due to the orbital symmetry.
The molecular orbital used in the model therefore should not suffer from the same cancellation problem during the orientational averaging procedure. This apparatus is fully computer controlled and computer optimized, allowing it to operate continuously without user intervention. A coplanar geometry (psi = 0A?) is defined when all three electrons are in the detection plane. The angular resolution of the apparatus is estimated as A±3A°, based on geometric considerations of the electrostatic lenses at those energies.
Several freeze-pump-thaw cycles were performed using a salted ice slurry bath, to remove dissolved gas impurities from the water prior to admission into the scattering chamber. Over time the emission current from the filament dramatically increased, when a constant current was delivered to the filament. The data were normalized to a collection time of 1000sec for each measurement, and up to 30 sweeps of the detection plane were used to produce statistically significant results. The overall shape of the TDCS measured at corresponding energies in a previous study of the 1b1 state are qualitatively similar, however the 1b1 state shows a second peak in the binary region emerging at higher energies that is not observed in the 3a1 state. PCI would also be expected to shift the recoil peak towards xi = 90A°, although this cannot be confirmed in the data. This agreement diminishes as the energy increases, which is unexpected since the MDW model is usually more accurate at higher energies. The TDCS measured in the perpendicular plane is almost constant over all analyzer angles, which is very different to what is observed for atomic targets. The progression in both models shows a decrease in cross section from psi = 0A° to 45A°, after which the intensity once again increases. There also appears to be a narrowing in the main binary peak as the asymmetry increases, with a new shoulder appearing around xi = 60A°. This contrasts markedly with the calculations, which predict triple peaks in the perpendicular plane that change magnitude only marginally with the asymmetry. This discrepancy is seen both for equal energy and for non-equal energy data, which have been taken in coplanar and perpendicular geometries. You can request, view and choose stones and oversee the production of your engagement ring through the on-site workshop.
You can create your own shoe from scratch, including the heel height (for those who can't walk in skyscraper heels).
There are always things to do, things to learn, things to prepare for, and experiments to run. These patterns can tell you useful things about whata€™s going on inside the giant black box that is your computing world. I had three majors (Wildlife Biology, Botany and Computer Science) but I have no degree as I left college when I ran out of money and got my first job in the computer industry.
Mostly Ia€™ve learned from other performance wizards, programmers, system administrators and a few generally smart people Ia€™ve known. Clarity is essential when explaining to senior management that they need to spend large amounts of money.
There are many other parts that you dona€™t control, cana€™t meter, and have no clue how they do their work. Expected problems are no fun, but they can be foreseen and, depending on the situation, your response might be to endure them, because money is tight or because the fix might introduce too much risk. This could be a simple case of them not caring about doing a good job, but my more charitable assessment is that he had no idea what a€?normala€? was, so everything the register told him had to be taken at face value. This can save your bacon because if you spot the unexpected utilization before the peak occurs, then you have time to find and fix the problem before the system comes under a peak load.
You will want to search this data by time (What happened at 10:30?), so be sure to include timestamps. However, even if you miss something, you are still better off having planned for reasonable amounts of the key resources. Ia€™m very sure the CIO looking at all this complex math would feel very uneasy betting his or her job on these calculations.
If you need more confidence in your plan, or you need to hold the response time down to a reasonable level, or if the future you are planning for includes significant changes to the transaction mix or vital systems, then you need to do either Load Testing or Modeling.
When that happens, throughput stops increasing, response times climb to an unacceptably painful place and things break. If you (and your boss) only have responsibility for a small subset of the entire transaction path then thata€™s all you really need to test.
So take all the peak measurements and double them to get a good idea of what you are likely to run out of as you push the test to the goal load. Create a load test that sends in all Blue transactions and you can collect the data you need without the interference of the Red transactions. Examples of big changes that preclude simple capacity planning might be things like, large application or middleware changes or a big change in the incoming workload. The closer to the utilization limit (or the projected storm track), the more precise you have to make your model.
As the commemorative plate infomercial says: a€?Collect them all!a€?A Please dona€™t wait for perfection.
Theoretical approximations accurate at high impact energies can no longer be applied, and so there are stringent demands on theory which must be satisfied for accurate comparison with data. The (e,2e) coincidence signal for molecules may then have a correspondingly lower yield compared to an atomic target where the ionization potential is well defined. A pictorial representation of the water molecule in the 1b1 state is given in figure 1.1 below.
The spectrometer allows measurements to be conducted from a coplanar geometry through to the perpendicular plane, although in the present measurements only a coplanar geometry was used.
The analyzer pass energy was then set to measure electrons so that the overall resolution of the coincidence signal (as measured using a helium atomic target) was 600meV. The pump removed background gas from the flask, and extracted dissolved gases held in the water.
The flask was secured to the cold side of a 50mm x 50mm thermo-electric cooler (TEC) using a large aluminium block, and the assembly (flask + block) was insulated from the air using Styrofoam.
The 1b1, 3a1 and 1b2 states are clearly resolved in this spectrum, which is fitted to three Gaussian peaks to ascertain the widths of the spectral profiles. These data were measured in a coplanar geometry with outgoing electron energies of 20eV detected at theta1 = theta2 = 55A°. Figure 1.5(a) shows the lowest energy results, with an incident energy 15eV above the ionization threshold.
Molecular wave-functions are generally not spherical, the nuclei within the molecule providing multiple scattering centres.
This becomes a computationally intensive problem, and so approximations are usually made to allow these calculations to become tractable. In this study the analyzers were always kept in a symmetric configuration with xi1 = xi2 = xi. A needle valve at the entrance to the scattering chamber controlled the flow of target H2O vapour into the interaction region. This indicates that an H2O target molecular beam of high purity was created, as confirmed from binding energy spectral studies. This increase in emission current was often more than a factor of 2 within a 24 hour period.
The solid line shows results from the Molecular Distorted Wave Born Approximation (MDW) while the dashed line was generated from the Molecular 3-body Distorted Wave Approximation (M3DW). This trend is much clearer in the present data compared to that from the 1b1 state measured at higher energies. For the theoretical model, the coplanar TDCS has also been normalized to unity for both MDW and M3DW models. These measurements were taken in a series of symmetric non-coplanar geometries with outgoing electron energies of 10eV. The M3DW model follows a trend that is closer to the experimental data, although neither model accurately predicts the results that have been obtained.
The theoretical calculations are also shown, where once again the data and theory have been normalized to unity at the peak in the coplanar geometry. The minimum around 90A° in this geometry does not change substantially as the energy sharing changes.
I would arrive knowing almost nothing about their business and their problems and leave having given them a clear path to follow. An engaging style is essential when teaching multi-day classes, especially just after lunch. Furthermore, there are limits placed on you due to politics, time, budget, legal restrictions, and the tools you have available. Modeling is the only way to project the performance of an application in the design stage where there is no performance data to scale.
Start somewhere, collect something and, as you explore and discover, add this to your collection.
The angles that could be accessed in this configuration ranged from thetaa = thetab = 25A° through to thetaa = thetab = 135A°. The acceptance angle of the analyzer lenses was A±3A°, as set by input apertures at the entrance to the electrostatic lenses. This de-gassing procedure was carried out for ~2 hours before the water sample was used in the experiment, to ensure that the proportion of dissolved gases in the water was minimized.
The hot side of the TEC was attached using thermal conducting paste to an aluminium heatsink to which a 12VDC boxer fan was secured, so that heat from the TEC could be dissipated efficiently. If this ratio reduced, the experiment was halted and the water changed to a newly de-gassed sample. In this case, the 1b1 state was found to have a width of 620meV, which is comparable to that for an atomic target.
The contrast between the maximum and minimum in the cross section increases as the energy increases. As the energy increases further to 95eV above threshold (figure 1.5(c)), the double peak in the forward direction is still visible but the magnitudes of the peaks are now different.
The purity of this beam was monitored regularly using the mass spectrometer throughout this study.
To ensure constant incident electron beam current throughout the measurements as required, the filament current was hence also placed under computer control.
The experimental and theoretical data has been independently normalised to unity at each energy.
Dr Kate Nixon thanks the British Council for funding under the research exchange programme, and the Royal Society for a Newton International Fellowship. I like people and if I couldna€™t make my classes useful, interesting, and relevant, then I would have stopped teaching a long time ago. As the commemorative plate infomercial says: a€?Collect them all!a€? Please dona€™t wait for perfection. For asymmetric geometries, thetaa is fixed at 22A° while analyzer 2 is swept around the scattering plane. A glass flask was used for this procedure as this allowed the process to be visually monitored. This indicates that the energetic effects of ro-vibrational transitions from the ground state to the ion state are negligible for this state. Further checks were made regularly on the energy of the incident electron beam by monitoring the coincidence energy spectrum (figure 1.3), and regular monitoring of the partial pressures of the gases in the vacuum chamber. A second peak occurs in the backscatter region, however the maximum of this peak appears to occur at thetab < 225A°. For non-coplanar geometries the electron gun is lifted out of the plane, and is defined by the angle psi.
There is an offset of 1eV in the position of the peaks which is due to contact potentials in the spectrometer. The full line represents a three-Gaussian fit, whereas the dotted lines show the individual Gaussians from this fit, illustrating the degree of separation measured with the current energy resolution. The results in the backward direction also have structure, with a minimum occurring when thetab ~ 250A°. Very little contamination is expected from neighbouring orbitals in the measured TDCS for the 3a1 state.
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