Distributed computing systems are being built and used more and more frequently. This distributod computing revolution makes the reliability of distributed systems an important concern. It is fairly well-understood how to connect hardware so that most components can continue to work when others

Ptolemy is an environment for simulation and prototyping of heterogeneous systems. It uses modern object-oriented software technology (C++) to model each subsystem in a natural and efficient manner, and to integrate these subsystems into a whole. Ptolemy encompasses practically all aspects

local modes. The system runs at 200 frames per second on consumer hardware. Our evaluation shows high accuracy on both synthetic and real test sets, and investigates the effect of several training parameters. We achieve state of the art accuracy in our comparison with related work and demonstrate

. In this paper we present our new Safe Hardware Interface, an isolation architecture used within the latest release of Xen which allows unmodified device drivers to be shared across isolated operating system instances, while protecting individual OSs, and the system as a whole, from driver failure. 1

, and software. Most of the research in energy optimization and/or estimation has focused on single components of the system and has not looked across the interacting spectrum of the hardware and software. The novelty of our new energy estimation framework, SimplePower, isthatitevaluates the energy considering

A central feature of the evolution of large software systems is that change-which is necessary to add new functionality, accommodate new hardware, and repair faults-becomes increasingly difficult over time. In this paper, we approach this phenomenon, which we term code decay, scientifically

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, they range from a factor of 22 (8-byte messages) to 3 (4-Kbyte messages). Although hardware specific details in uence both the design and implementation, these techniques are applicable to the whole class of conventional general

the considerable practical challenges of sensitivity based imaging, including the signal-to-noise ratio (SNR) issue, sensitivity assessment, and hardware requirements. Only in 1997 did Sodickson et al. To overcome the restrictions of previously proposed methods, in this work we reformulate the problem of image

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