Different sorts of peer-to-peer (P2P) applications emerge every day and they are becoming more and more popular. The performance of such applications may be measured by means of Quality of Experience (QoE) metrics. In...
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Different sorts of peer-to-peer (P2P) applications emerge every day and they are becoming more and more popular. The performance of such applications may be measured by means of Quality of Experience (QoE) metrics. In this paper, the factors that influence these metrics are surveyed. Moreover, the impact of economic traffic management solutions (e.g., proposed by IETF) on perceived QoE for the dominant overlay applications is assessed. The possible regulatory issues regarding QoE for P2P applications are also mentioned.
System-level dynamic power management (DPM) schemes in Multiprocessor System on Chips (MPSoCs) exploit the idleness of processors to reduce the energy consumption by putting idle processors to low-power states. In the...
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ISBN:
(纸本)9781457713989
System-level dynamic power management (DPM) schemes in Multiprocessor System on Chips (MPSoCs) exploit the idleness of processors to reduce the energy consumption by putting idle processors to low-power states. In the presence of multiple low-power states, the challenge is to predict the duration of the idle period with high accuracy so that the most beneficial power state can be selected for the idle processor. In this work, we propose a novel dynamic power management scheme for adaptive pipelined MPSoCs, suitable for multimedia applications. We leverage application knowledge in the form of future workload prediction to forecast the duration of idle periods. The predicted duration is then used to select an appropriate power state for the idle processor. We proposed five heuristics as part of the DPM and compared their effectiveness using an MPSoC implementation of the H.264 video encoder supporting HD720p at 30 fps. The results show that one of the application prediction based heuristic (MAMAPBH) predicted the most beneficial power states for idle processors with less than 3% error when compared to an optimal solution. In terms of energy savings, MAMAPBH was always within 1% of the energy savings of the optimal solution. When compared with a naive approach (where only one of the possible power states is used for all the idle processors), MAMAPBH achieved up to 40% more energy savings with only 0.5% degradation in throughput. These results signify the importance of leveraging application knowledge at system-level for dynamic power management schemes.
Pipelined MPSoCs provide a high throughput implementation platform for multimedia applications, with reduced design time and improved flexibility. Typically a pipelined MPSoC is balanced at design-time using worst-cas...
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ISBN:
(纸本)9781450306362
Pipelined MPSoCs provide a high throughput implementation platform for multimedia applications, with reduced design time and improved flexibility. Typically a pipelined MPSoC is balanced at design-time using worst-case parameters. Where there is a widely varying workload, such designs consume exorbitant amount of power. In this paper, we propose a novel adaptive pipelined MPSoC architecture that adapts itself to varying workloads. Our architecture consists of Main Processors and Auxiliary Processors with a distributed run-time balancing approach, where each Main Processor, independent of other Main Processors, decides for itself the number of required Auxiliary Processors at run-time depending on its varying workload. The proposed run-time balancing approach is based on off-line statistical information along with workload prediction and run-time monitoring of current and previous workloads' execution times. We exploited the adaptability of our architecture through a case study on an H.264 video encoder supporting HD720p at 30 fps, where clock- and power-gating were used to deactivate idle Auxiliary Processors during low workload periods. The results show that an adaptive pipelined MPSoC provides energy savings of up to 34% and 40% for clock- and power-gating based deactivation of Auxiliary Processors respectively with a minimum throughput of 29 fps when compared to a design-time balanced pipelined MPSoC.
The MADNESS project aims at the definition of innovative system-level design methodologies for embedded MP-SoCs, extending the classic concept of design space exploration in multi-application domains to cope with high...
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The basic concepts of network collaborative learning, theoretical grounds and social significance are mainly discussed in this article. With online collaborative learning practice, we summarized the advantages and dis...
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The basic concepts of network collaborative learning, theoretical grounds and social significance are mainly discussed in this article. With online collaborative learning practice, we summarized the advantages and disadvantages of the collaborative learning model. It is explicitly affirmed that the use of advanced information technology reform for development of collaborative learning network information age has become an important trend in educational development. With the development of economic, the network collaborative learning will become a major learning approach.
Context-aware systems adapt their functionality and behavior to the user and his or her *** do so,they need context information about the user's environment,e.g.,about different kinds of real world *** model and m...
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Context-aware systems adapt their functionality and behavior to the user and his or her *** do so,they need context information about the user's environment,e.g.,about different kinds of real world *** model and manage context information,many systems have been *** important part of context that is often neglected is the state and context of the applications that users are currently *** contribution of this paper is to present an extension for a standard context model that allows the representation of the context of workflow based *** that,business process management envi-ronments are enabled to annotate their context and provide it for other context-aware applications and users.
This work presents a static-analysis based method for analyzing the robustness of a given embedded control system design, in the presence of quality-faults in sensors, software components, and inter-connections. The m...
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This work presents a static-analysis based method for analyzing the robustness of a given embedded control system design, in the presence of quality-faults in sensors, software components, and inter-connections. The method characterizes the individual components of the system by storing the relations between the precision of inputs and the precision of outputs in what we call, lookup tables (LUTs). A network of LUTs thus formed which represent the given control system is converted into a satisfiability modulo theory (SMT) instance, such that a satisfying assignment corresponds to a potential counterexample (the set of quality-faults which violate the given fault-tolerance requirements) or hot-spot in the design. Hot-spots obtained in this manner are counter-verified through simulation to filter the false-positives. Experimental results on the fault-tolerant fuel controller from Simulink automotive library demonstrate the efficacy of the proposed approach.
The image de-noising method via USFFT Curvelet transform is proposed in this paper. The method can preserve the detail information of high frequency of noisy image, and to avoid the phenomenon of edge slant during the...
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ISBN:
(纸本)9781612844589
The image de-noising method via USFFT Curvelet transform is proposed in this paper. The method can preserve the detail information of high frequency of noisy image, and to avoid the phenomenon of edge slant during the image reconstruction. The USFFT Curvelet transform is used to the noisy image, the global threshold value is estimated in the Curvelet domain. The window technique is used to compute the shrinkage factor corresponding to pixel value. The de-noised image signal is obtained by using inverse USFFT Curvelet transform. The experimental results show that the algorithm obtains a higher PSNR value for gray and color images. It acquires a good de-noisy effect and visual effect, and preserves image edge well.
This paper considers the ship path following problem with state and input constraints. The control problem associated with path following is formulated as a Model Predictive Control (MPC) with adjustable parameters. T...
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With the development of Internet, Email has become an important interaction manner. At the same time, spam becomes a boring thing in our life, and people pay more and more attention to spam filter. In this paper, we p...
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