A distributed diagnosis system combining the Immune Network (IN) and Learning Vector Quantization (LVQ) is proposed for accurately detecting faulty sensor outputs in control plants. The system has two execution modes,...
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ISBN:
(纸本)0780330269
A distributed diagnosis system combining the Immune Network (IN) and Learning Vector Quantization (LVQ) is proposed for accurately detecting faulty sensor outputs in control plants. The system has two execution modes, namely, its training mode, where the LVQ extracts a correlation between each two sensors from their outputs when they work properly, and its diagnosis mode, where the LVQ contributes to testing each two sensors using the extracted correlation, and the IN contributes to determining faulty sensors by integrating the local testing results obtained from the LVQ. With the proposed method, faulty sensors, such as age deteriorated ones, which have been difficult to be detected only by checking each sensor output independently, can be specified.
This paper is on the definition of deadlocks in asynchronous messages communication systems. The considered system model covers unspecified receptions, not FIFO channels, and general resource (message) requests includ...
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This paper is on the definition of deadlocks in asynchronous messages communication systems. The considered system model covers unspecified receptions, not FIFO channels, and general resource (message) requests including, among others, AND, OR, AND-OR and k-out-of-n requests.
The Earth Observing System (EOS) Data and Information System (EOSDIS) is perhaps one of the most important examples of a large-scale, geographically-distributed, and data-intensive systems. Designing such systems in a...
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The Earth Observing System (EOS) Data and Information System (EOSDIS) is perhaps one of the most important examples of a large-scale, geographically-distributed, and data-intensive systems. Designing such systems in a way that ensures that the resulting design will satisfy all functional and performance requirements is not a trivial task. This paper presents a performance-oriented methodology to design large-scale distributed data intensive information systems. The methodology is then applied to the design of the EOSDIS Core System (ECS). Performance results, based on queuing network models of ECS are also presented.
作者：
POND, LCLI, VOKCommunication Sciences
Electrical Engineering Systems University of Southern California Los Angeles CA 90089-2565 U.S.A. Lawrence C. Pond received the M.Sc. and Ph.D. degrees in electrical engineering from the University of Southern California in 1983 and 1990
respectively. Dr. Pond is currently a scientist at Hughes Space and Communications Company having joined in 1980. He has worked in the fields of communication system design mobile communication network and spacecraft payload design. He is currently working on the development of satellite-based ATM transport and switching architectures for BISDN and Defense Information System Network amlications. Dr. Pond is a member of IEEE. Victor O. K. Li was born in Hong Kong in 1954. He received his SB
SM and Sc.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology Cambridge Massachusetts in 1977 1979 and 1981 respectively. Since February 1981 he has been with the University of Southern California (USC) LOS Angeles California where he is Professor of Electrical Engineering and Director of the USC Communication Sciences Institute. He has published 150 technical papers and has lectured and consulted extensively around the world. His research interests include high-speed communication networks personal communication networks intelligent networks distributed databases queueing theory graph theory and applied probability. Dr. Li is very active in the Institute of Electrical and Electronic Engineers (IEEE) having been a member of the Computer Communications Technical Committee since 1983 and having served as Chairman from 1987–1989. He served as Chairman of the Los Angeles Chapter of the IEEE Information Theory Group from 1983–1985. He is the Steering Committee Chair of the International Conference on Computer Communications and Networks (IC3 N) General Chair of the 1st Annual IC3N held in San Diego California in June 1992 General Chair and Technical Program Chair of the 4th IEEE Workshop on Comp
In this, the second part of a two-part paper, the required time for establishing a mobile packet radio network using the virtual circuit and time division multiple access protocol developed in Part 1 is analysed. Tool...
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In this, the second part of a two-part paper, the required time for establishing a mobile packet radio network using the virtual circuit and time division multiple access protocol developed in Part 1 is analysed. Tools are developed to determine the virtual circuit and network set-up times in terms of the channel bandwidth allocated to establish and maintain the network. The tools are then extended to include the effects of user mobility. Then these results are combined with the network capacity results of Part 1 to analyse the trade-off between the data rate and set-up time of the network. Next a hierarchical architecture is proposed and the network data rate versus set-up time trade-off of this architecture is analysed using these tools. This architecture is shown to both provide a higher data rate and establish faster than flat networks of the same number of nodes.
Task scheduling is an important part of any distributedcomputing environment. distributed task scheduling algorithms aim at attaining increased performance of a distributed system by distributing the tasks of distrib...
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Task scheduling is an important part of any distributedcomputing environment. distributed task scheduling algorithms aim at attaining increased performance of a distributed system by distributing the tasks of distributed programs onto the processors of the system. In designing a task scheduling mechanism, one needs to evaluate performance of task scheduling algorithms in order to decide among several algorithms or several versions of an algorithm. This paper describes the design of a general simulation system for distributed task scheduling algorithms. The design is highly modular and provides a system that can be configured and extended to simulate and evaluate different algorithms under different environments. The implementation of DisMimic, a prototype of the simulation system is also described. The framework described in this paper provides a basis of building toolbox to simplify the study of distributed task scheduling algorithms.
Design, performance management, and capacity planning of client/server applications in the commercial enterprise depends on the ability to model these distributed applications at design time as well as during normal o...
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Design, performance management, and capacity planning of client/server applications in the commercial enterprise depends on the ability to model these distributed applications at design time as well as during normal operations. This paper specifies the functional requirements of performance modeling of the class of applications based on Remote Procedure Calls (RPC). These specifications include the need to model transactions consisting of multiple, nested, synchronous and concurrent RPC's using tractable techniques. Examples of distributed application models are presented based on discrete event simulations. Suggestions for future work are included.
Unlike in traditional approaches to parallel or distributed processing where normally well structured problems are implemented completely in some programming environment we are faced with the problem of integrating ex...
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Unlike in traditional approaches to parallel or distributed processing where normally well structured problems are implemented completely in some programming environment we are faced with the problem of integrating existing heterogeneous software systems. Furthermore, pattern analysis stresses special aspects of communication capabilities. Therefore, we propose a new communication framework dedicated to heterogeneous pattern analysis systems that handles typed structured data, enables completely symmetric interaction, and provides various call semantics. A first prototype evaluating some of the concepts in practical situations is presented.
Monitoring program execution in a distributed system can generate large quantities of data, and the collection and processing of the monitoring data is one of the primary factors that contribute to the complexity of d...
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Monitoring program execution in a distributed system can generate large quantities of data, and the collection and processing of the monitoring data is one of the primary factors that contribute to the complexity of distributed monitoring. In order to reduce such complexity, a hierarchical distributed performance monitoring system has been developed. In this paper we describe an optimization method to improve the efficiency of the monitoring system. By considering the topology used by the application program and the distribution of monitoring records, an optimized grouping can be determined to obtain an improved performance for the monitoring system. The experiments presented in this paper have demonstrated such an improvement in performance.
The problem considered in this paper is the implementation of motion-detection on distributed-memory MIMD machines. The solution here proposed is based on pyramidal algorithms that, by iteratively discarding uninteres...
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ISBN:
(纸本)0780320182
The problem considered in this paper is the implementation of motion-detection on distributed-memory MIMD machines. The solution here proposed is based on pyramidal algorithms that, by iteratively discarding uninteresting details, allow to focus on the moving parts of an image stream. Different parallelisation methodologies have been evaluated and the most promising ones have been implemented on a Transputer-based parallel machine. Experimental results are here presented and compared with the theoretical ones.
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