Method and system for benchmarkingcomputers
A testing system and method for benchmarking computer systems. The system includes a store containing a scalable set of tasks to be performed to produce a solution in ever-increasing degrees of resolution as a larger number of the tasks are performed. A timing and control module allots to each computer a fixed
Dr. Ms. Shabnam S. Mahat, Dr. Mahadev K. Patil
Abstract : A number system is the method or system of representing the digits in the computer system. The digital computer represents data in binary forms. The total number of digits used in a number system is called its base or radix. The base is written after the number as subscript; for example
Abstract—Among the various means of available resource protection including biometrics, password based system is most simple, user friendly, cost effective and commonly used, but this system having high sensitivity with attacks. Most of the advanced methods for authentication based on password encrypt the contents of password before storing or transmitting in physical domain. But all conventional cryptographic based encryption methods are having its own limitations, generally either in terms of complexity, efficiency or in terms of security. In this paper a simple method is developed that provide more secure and efficient means of authentication, at the same time simple in design for critical systems. Apart from protection, a step toward perfect security has taken by adding the feature of intruder detection along with the protection system. This is possible by merging various security systems with each other i.e password based security with keystroke dynamic, thumb impression with retina scan associated with the users. This new method is centrally based on user behavior and users related security system, which provides the robust security to the critical systems with intruder detection facilities.
changeload. The approach utilized system knowledge to limit the identification and definition of changes to those that directly affected a system feature or service protected by a self-adaptive mechanism.
An assumption of this study was that the self-adaptive mechanisms that introduce the systematic or localized change would not introduce additional changes, such as a fault or failure, which would then prompt a series or loop of self-adaptive responses. Furthermore, self-adaptive responses and state transitions occurred within known operational states. These assumptions ensured that all adaptation and system states were fixed and did not involve emergent behavior, allowing behavioral verification and validation. Another assumption was that the defined changes accurately reflected actual changes experienced by the SUB within its production environment and its intended use. These assumptions were in-line with previous studies where the runtime behavior of complex systems was evaluated in the presence faults, failure, and other runtime changes (Almeida & Vieira, 2012a; Bondavalli et al., 2009; Cámara, Lemos, Vieira, Almeida, & Ventura, 2013; Graefe et al., 2010; Khalil, Elmaghraby, & Kumar, 2008; Vieira &
Laptop system processor voltages are low, typically less than 1.4V. This low processor core voltage requirement will continue to be reduced to sub 1V levels to increase the speed of the computer. While the laptop is operating from the 19.5V ac- dc input or 4 cell Li-Ion voltage range, the process of stepping this high voltage down to the 1.XV or below is not ideal in terms of efficiency and frequency of operation. A non-isolated buck regulator would be the most common method of stepping the high 19.5V down to 1.XV. The ideal duty cycle (% of switch on time) is 7% for a 19.5V to 1.4V conversion. High frequency operation and efficiency are compromised while operating at very low and very high duty cycles.
There may be companies in Brazil that fall in quadrant IV. Potential companies with such results may mostly be small organisations, which often do not have an infrastructure with employees and resources at the same level as medium and large-size companies. However, it should be mentioned that some small businesses may have better results as they may have a smaller amount of cutting tools and a structure with less machines and people to manage. One possible cause for companies to be positioned in quadrant IV is the neglect of cutting tools management and not taking into account their importance and influence in their production system costs as a whole. This may be a consequence of their unawareness of the management of cutting tools. A company that is positioned in quadrant IV generally has high production costs, which may lead to its stagnation and possible closure.
In conclusion, the process of benchmarking is designed to operate as a management tool, both for companies and for ANRSC (Abăluţă, 2008). Data required from companies aiming to establish basic indicators for different companies and sectors. ANRSC enter this data in its database Management Information System (MIS) so that indicators can be summed and analyze. Instead, companies will have access to data and can evaluate own indicators and compare with other companies and then establish targets for management, for example, the lowest unit costs for the collection of solid waste. Based on its analysis, ANRSC can build a true and convincing picture of the economic situation of the business sector and the degree to which people can serve. This can be used to discuss and recommend government policies, and for purposes of licensing.
(4) Stability of micro-cracks.
The experiments that we have reported up to this point were based on perfect lattices.
Now we apply the B-QCF model to lattices with local defects.
The atomistic system is as follows. There is a micro-crack in the center of the domain Ω with length 5, i.e., 5 atoms are removed from the lattice (see Figure 6). Hence, we redefine accordingly the positions of atoms in the reference configuration x, the interaction energy E a , etc. We impose a vertical stretching B =
WE8H Hardware & Software Environment
WE8H is closely based on Windows Phone 8 and shares many of the same hardware characteristics with the consumer product. The architecture is designed around a Qualcomm® Snapdragon™ processor and many device characteristics are standardized by Microsoft to ensure a consistent user experience across different manufacturer’s products. In its initial releases, WE8H supports only a limited set of enterprise extensions, namely barcode scanner and magnetic stripe reader interfaces. Common AIDC-specific features such as keypads and resistive touch screens are not supported, requiring adaption to capacitive touch input and on-screen keypads . WE8H supports finger gestures as the primary input method. The user interface is designed with every part of the screen accessible, enabling actions like swiping, pinching, and dragging to manipulate on-screen controls.
The ultimate goal of this paper is to outline a system that can recognize all words that are spoken by any person and perform corresponding command. Computer software that understands the speech and conversation with the computer. This conversation would include person and computer, speaking as commands or in response to events, input or other feedback. Speaking is easier and more intuitive than selecting buttons and menu item, human speech has evolved over many thousand of year to become an efficient method of sharing information and giving instruction. The dynamic nature of the world only emphasized this need strongly.
Experiential approaches have their own drawbacks as well. First of all, increaing use of some informal estimation approaches, such as guessing and intuition, have been found to be related to increases in the number of large projects that overrun their estimates . In addition, more structured bottom-up experiential approaches can potentially suffer from an optimistic bias due to estimators extrapolating from an estimate of only a portion of the system . In one study that evaluated experiential estimates, optimism was demonstrated . However, another study showed that experiential estimates are pessimistic, with the estimators estimating more than the actual . In any case, both over and underestimation, as noted in , can have negative ramifications on a project and its staff. Furthermore, it has been shown in one study that the accuracy and variation of experiential-based estimates is affected significantly by application and estimation experience of the estimators, with more experienced estimators performing better . However, in a given organization, it will seldom be possible to find available, highly experienced estimators for every new project. Given the prevalent reliance on informal approaches to cost estimation, many of these estimates would not be easily repeatable either even if the most experienced estimators were available.
Power generation is an industry that is essential to sustain daily life and competes with generator set distributors. The product service system of distributors must be improved to survive the competition. This research aims to develop tools for benchmarking the product service system of generator set distributors. Benchmarking identifies gaps between a product and other competitors’ products. In this work, a product service system board is used to visualize the current product service system of a generator set distributor. A PPIAF framework and a SERVQUAL framework are adapted to assess product performance and service quality, respectively. AHP is used as weighting method. The survey results provide ideas for improving the current product service system of generator set distributors. Further studies must use detailed measure weighting methods and implement the product service system board to assess service quality.
Looking at the RMSE values, we notice (Fig. 1b) a gap in the MyMediaLite recommenders. This is due to MyMediaLite dis- tinguishing between rating prediction and item recommendation tasks (Section 3.2.3). In combination with the similarity method used (cosine), this means the scores are not valid ratings. Moreover, MyMediaLite’s recommenders outperform the rest. There is also difference between using a cross validation strategy or a ratio par- tition, along with global or per user conditions. Specifically, better values are obtained for the combination of global cross validation, and best RMSE values are found for the per user ratio partition. These results can be attributed to the amount of data available in each of these combinations: whereas global splits may leave users out of the evaluation (the training or test split), cross validation ensures that they will always appear in the test set. Performance differences across algorithms are negligible, although SVD tends to outperform others within each framework.
We reported only the steady-state performance in the above discussion; is it correct to do so? We think not. In the next experiment we recorded the throughput of Ext2, Ext3, and XFS every 10 seconds. We used a 410MB file, because it is the largest file that fits in the page cache. Figure 2 depicts the results of this experiment. In the beginning of the experiment no file blocks are cached in memory. As a result all read operations go to the disk, directly limiting the throughput of all the systems to that of the disk. At the end of the experiment, the file is completely in the page cache and all the systems run at memory speed. However, the performance of these file systems differs significantly between 4 and 13 minutes. What should the careful researcher do? It is clear that the interesting region is in the transition from disk-bound to memory-bound. Reporting results at either extreme will lead to the conclusion that the systems behave identi- cally. Depending on where in the transition range a re- searcher records performance, the results can show dif- ferences ranging anywhere from a few percentage points to nearly an order of magnitude! Only the entire graph provides a fair and accurate characterization of the file system performance across this (time) dimension. Such graphs span both memory-bound to I/O bound dimen- sions, as well as a cache warm-up period. Self-scaling benchmarks  can collect data for such graphs.
Simulated data have the advantage that a known true signal (or ‘ground truth’) can easily be introduced; for example, whether a gene is differentially expressed.
Quantitative performance metrics measuring the ability to recover the known truth can then be calculated. How- ever, it is important to demonstrate that simulations accurately reflect relevant properties of real data, by inspecting empirical summaries of both simulated and real datasets (e.g., using automated tools ). The set of empirical summaries to use is context-specific; for ex- ample, for single-cell RNA-sequencing, dropout profiles and dispersion-mean relationships should be compared ; for DNA methylation, correlation patterns among neighboring CpG sites should be investigated ; for comparing mapping algorithms, error profiles of the se- quencing platforms should be considered . Simpli- fied simulations can also be useful, to evaluate a new method under a basic scenario, or to systematically test aspects such as scalability and stability. However, overly simplistic simulations should be avoided, since these will not provide useful information on performance. A fur- ther advantage of simulated data is that it is possible to generate as much data as required; for example, to study variability and draw statistically valid conclusions.
Fig 3. Users can select indicators and set weights.
Additional indicators for the benchmarking function:
In addition to the indicators used for rating, the benchmarking function includes measures of international collaboration, international citations, and research funding. The research funding data is currently available only for US universities at the level of overall university.
3.9. Keep Multilevel Caches into Consideration
There are several levels at which caching is used to mitigate performance issues with the underlying storage layers. These include the file system buffer cache, disk array controller caches, and disk drive caches. The file system with its buffer cache is on the top layer of the cache hierarchy. The file system buffer cache is generally some significant amount of physical system memory that is used to hold large chunks of data from files being accessed through a file system manager. For example, when an application or benchmark program issues a read system call most file system managers will read data into the file system buffer cache and then copy the requested data into the user buffer. Similarly, for write operations, the data is copied from the user buffer into the file system buffer cache and later written to the storage media. For normal applications this is acceptable behavior but when running benchmarks it is necessary to understand when the cache is being used and when it is not. Otherwise, the results of the benchmark can be rendered meaningless. The disk array controller and disk drives have separate caches that are not connected or controlled by the file system manager or the device drivers. It is under the control of the disk array or disk drive controller and there are many different control algorithms that determine how it is used and how effective it is. The configuration and usage modes of the cache are purely vendor-dependent and model specific. It is important to understand how the cache, if present, is being used during a benchmark run so that its effects can be taken into account when setting up the benchmark runtime parameters and/or interpreting the results.
Mik C l CFO d S i VP D i B d
Mike Carlet, CFO and Senior VP, Driven Brands
“OnTrack is an excellent benchmarking tool that IFA members can use to identify areas for improvement. It’s very easy to organize data and select reports and areas for improvement. It s very easy to organize data and select reports and charts with the click of a mouse.”
The results of the benchmarkingmethod, depicted in figure 1, are two time series, whose values increase gradually over time. This increase is due to the connection to the annual benchmarks. Further note as a result of the ratio from the fifth quarter onwards x ˆ increases more rapidly than 1 t x ˆ 2t . During the first four quarters, the influence of the ratio constraint is negligible, since the quarters of both time series have to strictly add up to the same annual values. In the second and third year the annual alignment is soft, and therefore the ratio constraint is more important than for the first year.