The real time embedded systems (RTES) project was created to study the design and implementation of high-performance, heterogeneous, and fault-adaptive real time embedded systems. The driving application for this rese...
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The real time embedded systems (RTES) project was created to study the design and implementation of high-performance, heterogeneous, and fault-adaptive real time embedded systems. The driving application for this research was the proposed BTeV high energy physics experiment, which called for large farms of embedded computational elements (DSPs), as well as a large farm of conventional high-performance processors to implement its Level 1 and Level 2/3 triggers. At the time of BTeV's termination early in 2005, the RTES project was within days of completing a prototype implementation for providing a reliable and fault-adaptive infrastructure to the L2/3 farm; a prototype for the L1 farm had been completed in 2003. This paper documents the conclusion of the RTES focus on BTeV, and provides an evaluation of the applicability of the RTES concepts to other systems
software frequently needs to adapt its behavior at run time to respond to changes in its execution environment. Different software components may use different approaches to adaptation. Composing a single adaptive sys...
ISBN:
(纸本)1581139497
software frequently needs to adapt its behavior at run time to respond to changes in its execution environment. Different software components may use different approaches to adaptation. Composing a single adaptive system from existing adaptive components requires an "adaptation infrastructure" to integrate and arbitrate adaptive behaviors. This paper proposes a model for such an infrastructure and describes the design and operation of M2, a prototype implementation. M2 uses a technique called transparent shaping to modify existing components so that they can report events of interest to the M2 core and implement appropriate responses. The architecture and communication infrastructure of M2 are described, followed by a case study in which M2 is used to construct an adaptive multimedia conferencing application from otherwise incompatible components. Copyright 2004 ACM.
We conducted an eye-tracking study of mechanical problem solving from cross-sectional diagrams of devices. Response time, accuracy and eye movement data were collected and analyzed for 72 problem-solving episodes (9 s...
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The behavior and performance of MPI non-blocking message passing operations are sensitive to implementation specifics as they are heavily dependant on available system level buffers. In this paper we investigate the b...
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Content extraction signatures (CES) enable the selective disclosure of verifiable content from signed documents. We have previously demonstrated a CES Extraction Policy for fragment grouping to allow the document sign...
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In this paper, we consider a new atomicity model, write all with collision (WAC), and compare it with existing models considered in the literature. This model captures the computations in sensor networks. We show that...
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Modern object-oriented programs are hierarchical systems with many thousands of interrelated subsystems. Visualization helps developers to better comprehend these large and complex systems. This paper presents a three...
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Many developers who could benefit from building and analysing formal models of their systems are deterred from doing so by the process algebra style input languages of formal modelling languages which they find diffic...
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Peer-to-Peer (P2P) computing is said to be the next wave of computing after client-server and web-based computing. It provides an opportunity to harness a lot of idle peer-resources such as desktop computers across th...
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This paper describes an online control framework to design self-managing distributed computing systems that continually optimize their performance in response to changing computing demands and environmental conditions...
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ISBN:
(纸本)1581139896
This paper describes an online control framework to design self-managing distributed computing systems that continually optimize their performance in response to changing computing demands and environmental conditions. An on-line control technique is used in conjunction with predictive filters to tune the performance of individual system components based on their forecast behavior. In a distributed setting, a global controller is used to manage the interaction between components such that overall system requirements are satisfied.
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