Basic message processing tasks, such as well-formedness checking and grammar validation, common in Web service messaging, can be off-loaded from the service providers' own infrastructures. The traditional ways to ...
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Basic message processing tasks, such as well-formedness checking and grammar validation, common in Web service messaging, can be off-loaded from the service providers' own infrastructures. The traditional ways to alleviate the overhead caused by these tasks is to use firewalls and gateways. However, these single processing point solutions do not scale well. To enable effective off-loading of common processing tasks, we introduce the Prefix Automata SyStem - PASS, a middleware architecture which distributively processes XML payloads of web service SOAP messages during their routing towards Web servers. PASS is based on a network of automata, where PASS-nodes independently but cooperatively process parts of the SOAP message XML payload. PASS allows autonomous and pipelined in-network processing of XML documents, where parts of a large message payload are processed by various PASS-nodes in tandem or simultaneously. The non-blocking, non-wasteful, and autonomous operation of PASS middleware is achieved by relying on the prefix nature of basic XML processing tasks, such as well-formedness checking and DTD validation. These properties ensure minimal distributed processing management overhead. We present necessary and sufficient conditions for outsourcing XML document processing tasks to PASS, as well as provide guidelines for rendering suitable applications to be PASS processable. We demonstrate the advantages of migrating XML document processing, such as well-formedness checking, DTD parsing, and filtering to the network via event driven simulations. (C) 2008 Elsevier Ltd. All rights reserved.
Event building is an important task for data acquisition (DAQ) systems in high-energy physics experiments. D-Matrix is designed as a generic distributed stream processing DAQ platform, containing hardware description ...
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Event building is an important task for data acquisition (DAQ) systems in high-energy physics experiments. D-Matrix is designed as a generic distributed stream processing DAQ platform, containing hardware description language (HDL)-based modules and software modules. In the D-Matrix system, the data transfer is abstracted into the form of a stream, and the event building is implemented through a cascade of various reusable stream processing modules. These stream processing modules will determine their work modes automatically based on a set of attributes, which describe the abstracted data stream characteristics, such as spatiotemporal organization and granularity. This article introduces the event building architecture, the physics data structure abstraction, and the algorithmic implementation of specific event building modules in the D-Matrix system. An application of the D-Matrix event building architecture in the CSR external-target experiment is presented in the end.
Health Care Organizations (HCOs) are highly computerized using broadband networks for data communication within and outside of their departments. However their computer resources are usually task oriented, and not eff...
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Health Care Organizations (HCOs) are highly computerized using broadband networks for data communication within and outside of their departments. However their computer resources are usually task oriented, and not effectively used. Already introduced and new standards for e-Health (e.g. DICOM, TC251-standards) offer workflow management models to organize different resources towards a one, complex task. distributed processing can be used to implement such models. Similarly, computational resources can be used for any complicated problem-solving task inside a HCO department, between HCO departments and between HCOs. In this article the security analysis of Jini-based computational grids and cost of safeguards introduction is presented. The Jim-based GRID was analyzed in two medical parametric imaging tasks: active, dynamic infrared imaging and dynamic susceptibility contrast imaging (DSC-MRI).
The introduction of cloud data centres has opened new possibilities for the storage and processing of data, augmenting the limited capabilities of peripheral devices. Large data centres tend to be located away from th...
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ISBN:
(数字)9781728184234
ISBN:
(纸本)9781728184241
The introduction of cloud data centres has opened new possibilities for the storage and processing of data, augmenting the limited capabilities of peripheral devices. Large data centres tend to be located away from the end users, which increases latency and power consumption in the interconnecting networks. These limitations led to the introduction of edge processing where small-distributed data centres or fog units are located at the edge of the network close to the end user. Vehicles can have substantial processing capabilities, often un-used, in their on-board-units (OBUs). These can be used to augment the network edge processing capabilities. In this paper, we extend our previous work and develop a mixed integer linear programming (MILP) formulation that optimizes the allocation of networking and processing resources to minimize power consumption. Our edge processing architecture includes vehicular processing nodes, edge processing and cloud infrastructure. Furthermore, in this paper our optimization formulation includes delay. Compared to power minimization, our new formulation reduces delay significantly, while resulting in a very limited increase in power consumption.
Two major issues which must be addressed in the VLSI layout methodology are placement and routing. Traditionally, these two issues are handled separately to reduce the computational complexity. But these two issues ar...
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Two major issues which must be addressed in the VLSI layout methodology are placement and routing. Traditionally, these two issues are handled separately to reduce the computational complexity. But these two issues are interrelated as routability must be guaranteed for placement in addition to the geometrical constraints. The authors propose a distributed processing approach for solving this integrated routing-placement problem. The distributed processing network is roughly based on the Hopfield model and is designed to minimize an objective function similar to that used for the traveling salesman problem. Minimization of the objective function provides cell placements such that the total net span is minimized. The idea is based on the notion of slicing the slice sequencing in a hierarchical fashion.< >
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include content analysis under uncertainty (evidence of content are missed or hallucinated), t...
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There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include content analysis under uncertainty (evidence of content are missed or hallucinated), the computational complexity of feature extraction and object recognition, and the massive amount of data to be analyzed under real-time requirements. In this paper we focus on middleware supporting online media content analysis. Our middleware supports processing, logically organized as a hierarchy of refined events extracted in real time from a set of potentially related time-based media streams. The processing can physically be distributed and redistributed during run time, as a set of interacting components, each performing some content analysis algorithm. The middleware is designed with reuseability, scalability, performance, resource management, and fault tolerance in mind by providing support for mechanisms such as, adaptation, reconfiguration, migration, and replication. The goal is to support applications in trading off the reliability and latency of the content analysis against the available computing resources.
Ultrasonic 3D imaging is an important tool in NDE applications for quality control, flaw detection, and material characterization. However, ultrasonic 3D images often encompass immense amounts of data, making it very ...
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ISBN:
(纸本)9781424443895;9781424443901
Ultrasonic 3D imaging is an important tool in NDE applications for quality control, flaw detection, and material characterization. However, ultrasonic 3D images often encompass immense amounts of data, making it very challenging for volumetric image analysis, transmission and storage. In this study, a fast and scalable data compression System-on-Chip (SoC) architecture based on Discrete Wavelet Transform (DWT) is proposed. This compression SoC can process A-Scan, B-Scan and C-Scan signals and images in real-time and reduce the data and bandwidth requirements substantially without degrading the signal fidelity. A volumetric image of 128×128×2048 samples is compressed by 96.9% in less than one second by the proposed compression system implemented on a Virtex-5 FPGA.
This paper identifies two paradigms that influence the design of telematics systems nowadays: the protocol-centred and the object-centred paradigms. Both paradigms have been introduced to cope with interoperability, e...
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This paper identifies two paradigms that influence the design of telematics systems nowadays: the protocol-centred and the object-centred paradigms. Both paradigms have been introduced to cope with interoperability, each in their own way. The coexistence of these paradigms can have an enormous impact on the design of telematics systems. This paper identifies some combined uses of both paradigms and some fundamental research problems related to the coexistence of these paradigms.
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