Batch Data Processing Research Articles

Source code security

Although computer security is usually thought of as data security, the protection of the executable software which creates and maintains that data is an equally important aspect of security. This article will describe the general principles for securing source code integrity in the computer services department of a medium to large size organization. It is addressed to the EDP manager, auditor, or user who has primary administrative, rather than technical, responsibility for the security of such code. My treatment of these issues will inevitably reflect my own primary experience of them, which has been with mainframe batch data processing applications. But the underlying principles of source code security are the same for all types of software, whether batch, interactive, or micro. Accordingly, I may hope that my discussion of these problems will be of some use also to those who must manage other types of data processing.

Source code security: checklist for managers

Although computer security is usually thought of as data security, the protection of the executable software which creates and maintains that data is an equally important aspect of security. This article will describe the general principles for securing source code integrity in the computer services department of a medium to large size organization. It is addressed to the EDP manager, auditor, or user who has primary administrative, rather than technical, responsibility for the security of such code. My treatment of these issues will inevitably reflect my own primary experience of them, which has been with mainframe batch data processing applications. But the underlying principles of source code security are the same for all types of software, whether batch, interactive, or micro. Accordingly, I may hope that my discussion of these problems will be of some use also to those who must manage other types of data processing.

Recursive ldentification algorithm based on gradient method with application to adaptive bit detector

AbstractBecause of its rapid convergence the recursive least squares (RLS) method is one of the most popular approaches to adjusting the coefficients of adaptive digital filters. The RLS method is, however, not always effective in practical applications where finite input‐output data are used because it is based on the matrix inversion lemma. The purpose of this paper is to present a new recursive algorithm to obtain the least square estimate of digital filter coefficient parameters on the basis of a finite number of data up to the present by incorporating a gradient approach in solving the normal equation. Although the proposed method is recursive, since it obtains the least square estimate by batch processing of data, it has batch processing merits which are not found in RLS, such as robustness against colored input and noise and smooth convergence to the real value. A method of automatically adjusting the tracking characteristic to time‐variable parameters is described and the effectiveness of this method is examined for the configuration of the FIR adaptive digital filter and the adaptive configuration of the bit detector.

The clas program for classification and evaluation

Multivariate classification methods are needed to assist in extracting information from analytical data. The most appropriate method for each problem must be chosen. The applicability of a method mainly depends on the distributional characteristics of the data population (normality, correlations between variables, separation of classes, nature of variables) and on the characteristics of the data sample available (numbers of objects, variables and classes, missing values, measurement errors). The CLAS program is designed to combine classification methods with evaluation of their performance, for batch data processing. It incorporates two-group linear discriminant analysis (SLDA), independent class modelling with principal components (SIMCA), kernel density estimation (ALLOC), and principal component class modelling with kernel density estimation (CLASSY). Most of these methods are implemented so as to give probabilistic classifications. Multiple linear regression is provided for, and other methods are scheduled. CLAS evaluates the classification method using the training set data (resubstitution), independent test data, and pseudo test data (leave-one-out method). This last method is optimized for faster computation. Criteria for classification performance and reliability of the given probabilities, etc. are determined. The package contains flexible possibilities for data manipulation, variable transformation and missing data handling.

MIS problems in a batch processing environment

Performance measures like profits are an important criterion for evaluating the success of computer-based management information systems. However, the study of performance of a computer-based information system is difficult because of measurement problems and a large number of variables which affect performance. Many technically well-designed systems have failed to achieve their objectives or to work at all, because important factors which can contribute substantially to the success of an MIS were ignored. Based on a research project carried out in a large organization where the computer-based systems operate on a batch data processing system, this paper discusses some of the major problems which can lead to the total failure of an MIS.

Distributed Process Control: A Micro-Mini Marriage

Real-time process control problems in computer testing of automobile engines have led to the development of a low-cost microprocessor-based general-purpose minicomputer peripheral controller at the Chrysler Corporation Technical Computer Center in Detroit. Advantages of the new system over minicomputer-only or microcomputer-only systems include both improved system flexibility and better use of system resources. For example, because of their low cost and programmability, multiple microprocessors can be used to handle commonly encountered process control tasks. This feature is especially valuable in systems requiring frequent modifications because of constant changes in governmental standards or other parameters. Minicomputer-based systems, on the other hand, offer sophisticated executives, batch processing, and large data base capability. Besides combining these features, a central mini distributed microsystem offers the additional advantage of allowing the minicomputer to handle the loose coupling of two or more microcomputer tasks.

Digital processing of spectra

AbstractThis paper describes a simple numerical method for the smoothing and differentiation of digitally collected Raman spectra. This is applied to a peak finding program suitable either for batch processing of data or real time application with a computer controlled spectrometer. A basis for the implementation of such programs is given, and their limitations are discussed.

Real-Time Information Systems: A Comparative Economic Analysis

There are several generally accepted suppositions concerning the cost and benefits of real-time information systems. These suppositions expect that real-time systems can generate sufficient benefits to offset the higher costs of processing relative to traditional batch processing systems. The objective of this study was to examine in actual operating environments the generally accepted notions of costs and benefits of real-time systems that were supplied by a computer utility. These suppositions were examined by analyzing the empirical data of six matched firms. The cost and benefits of the information systems of three companies which used a computer utility real-time system were compared to the costs and benefits of three similar companies which used private batch processing systems. The findings of the research were the reverse of expectations. The data analysis strongly suggested that the real-time information did not produce any significant information benefits, but that the real-time data processing costs were less than the comparative batch data processing costs. The primary reason the results differed from expectations is that the real-time information was not fruitfully used. The findings of the study suggest that real-time information system benefits are not gained automatically, but can be achieved only if the systems are meaningfully integrated into the management process.