Systems architecture

About: Systems architecture is a research topic. Over the lifetime, 17612 publications have been published within this topic receiving 283719 citations. The topic is also known as: system architecture.

System architecture for on-line machine diagnostics

Abstract: A machine diagnostic system is provided which includes a host computer for determining a health state of a machine. The host computer is operatively coupled to a network backbone. The system also includes a machine diagnostic module adapted to be integrally mounted to a machine, the machine diagnostic module being operatively coupled to the network backbone. The machine diagnostic module collects data relating to operation of the machine and preprocesses the data, and the host computer analyzes the preprocessed data in determining the health state of the machine. The machine diagnostic system includes a system architecture which facilitates the machine diagnosis. The system architecture includes several software layers which provide for collecting and preprocessing machine data, transmitting the collected and/or preprocessed data over a network and analyzing such for machine diagnosis and process diagnosis.

Generative constraint-based configuration of large technical systems

Abstract: This paper describes the technical principles and representation behind the constraint-based, automated configurator COCOS. Traditionally, representation methods for technical configuration have focused either on reasoning about structure of systems or quantity of components, which is not satisfactory in many target areas that need both. Starting from general requirements on configuration systems, we have developed an extension of the standard CSP model. The constraint-based approach allows a simple system architecture, and a declarative description of the different types of configuration knowledge. Knowledge bases are described in terms of a component-centered knowledge base written in an object-oriented representation language with semantics directly based on the underlying constraint model. The approach combines a simple, declarative representation with the ability to configure large-scale systems and is in use for actual production applications.

Agent-based manufacturing : advances in holonic approach

Abstract: I: Starters.- 1 Introduction.- 2 From Fractals and Bionics to Holonics.- 3 From FMS to HMS.- II: Systems Architecture.- 4 HMS/FB Architecture and Its Implementation.- 5 FIPA Standards and Holonic Manufacturing.- 6 Towards a Formalised HMS Model.- III: Systems Operation.- 7 An Investigation into a Computational Model for HMS.- 8 An HMS Operational Model.- 9 Holonic Diagnostics for an Automotive Assembly Line.- IV: Application Environments and Issues.- 10 HMS Development and Implementation Environments.- 11 Transport Agents - Specification and Development.- 12 A Holonic Shot-Blasting System.- 13 Holonic Manufacturing Control: Rationales, Developments and Open Issues.

Best-effort computing: re-thinking parallel software and hardware

Abstract: With the advent of mainstream parallel computing, applications can obtain better performance only by scaling to platforms with larger numbers of cores. This is widely considered to be a very challenging problem due to the difficulty of parallel programming and the bottlenecks to efficient parallel execution. Inspired by how networking and storage systems have scaled to handle very large volumes of packet traffic and persistent data, we propose a new approach to the design of scalable, parallel computing platforms. For decades, computing platforms have gone to great lengths to ensure that every computation specified by applications is faithfully executed. While this design philosophy has remained largely unchanged, applications and the basic characteristics of their workloads have changed considerably. A wide range of existing and emerging computing workloads have an inherent forgiving nature. We therefore argue that adopting a best-effort service model for various software and hardware components of the computing platform stack can lead to drastic improvements in scalability. Applications are cognizant of the best-effort model, and separate their computations into those that may be executed on a best-effort basis and those that require the traditional execution guarantees. Best-effort computations may be exploited to simply reduce the computing workload, shape it to be more suitable for parallel execution, or execute it on unreliable hardware components. Guaranteed computations are realized either through an overlay software layer on top of the best-effort substrate, or through the use of application-specific strategies. We describe a system architecture for a best-effort computing platform, provide examples of parallel software and hardware that embody the best-effort model, and show that large improvements in performance and energy efficiency are possible through the adoption of this approach.

Design and Deployment of a Passive Monitoring Infrastructure

Abstract: This paper presents the architecture of a passive monitoring system installed within the Sprint IP backbone network. This system differs from other packet monitoring systems in that it collects packet-level traces from multiple links within the network and provides the capability to correlate the data using highly accurate GPS timestamps. After a thorough description of the monitoring systems, we demonstrate the system's capabilities and the diversity of the results that can be obtained from the collected data. These results include workload characterization, packet size analysis, and packet delay incurred through a single backbone router. We conclude with lessons learned from the development of the monitoring infrastructure and present future research goals.