Model reuse is a longstanding challenge within the defense simulation modeling community. While other disciplines successfully apply component-based approach to build systems, this approach has proven difficult to app...
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Recent work on extracting features of gaps in handwritten text allows a classification of these gaps into inter-word and intra-word classes using suitable classification techniques. In the previous work, we apply 5 di...
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Collecting network traffic is becoming a more challenging task in passive network measurement due to the rapid growth of link speed. Flow-based network traffic capture and storage is an efficient way for high-speed ne...
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Collecting network traffic is becoming a more challenging task in passive network measurement due to the rapid growth of link speed. Flow-based network traffic capture and storage is an efficient way for high-speed network measurement. Based on the statistical investigation of the correlations between flow size and the maximum packet interinterval time of consecutive packets within a flow, we obtain the empirical conditional distribution functions for some popular TCP protocol-based application flows, and then propose a probability-guaranteed adaptive timeout algorithm (PGAT) for flow termination decision. The assessment criteria for the flow termination decision algorithm is systematically developed. Comparisons on flow generation ratio, flow intact ratio, and mean flow extra retaining time metrics indicate that the PGAT algorithm can obtain more attractive performance than other schemes.
High-assurance development of large-scale, network-centric systems must address challenging engineering realities. Flow-Service-Quality (FSQ) engineering provides foundations and practices that accommodate these reali...
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High-assurance development of large-scale, network-centric systems must address challenging engineering realities. Flow-Service-Quality (FSQ) engineering provides foundations and practices that accommodate these realities to maintain intellectual control in system analysis, development, and evolution.
In this paper we address the problem of processing a computationally intensive divisible load with high memory requirements on a bus network. Each network node is assumed to have a limited memory capacity (buffer spac...
In this paper we address the problem of processing a computationally intensive divisible load with high memory requirements on a bus network. Each network node is assumed to have a limited memory capacity (buffer space), while at the same time being available for processing after a specific time (release time). The combined influence of the release times, as well as the limited buffer capacity available, is considered in the problem formulation, with the objective to minimize the overall processing time of the divisible load. In the existing literature, these two issues have been considered independently, although in practice, they are commonly found to coexist. The Multi-Installment Balancing Strategy (MIBS) presented in this paper, manages to address both of these constraints by building on-top of the analytical solutions derived by a buffer capacity-unaware approach. MIBS monitors the available resources and adapts the processing and communication phases according to their availability. Towards this goal both single and/or multi-installment scheduling is utilized. The description of the algorithms accompany simulation experiments that highlight the behavior of MIBS. It should be stressed that the use of MIBS allows the processing of loads that exceed by far the total memory capacity of the available machines, while at the same time exhibiting processing times that match the ones predicted by strategies that ignore the memory constraints.
A modification of the Particle Swarm Optimizer involving updating obsolete particle memories has been shown to be effective in locating a changing extrema. In this paper we investigate the effectiveness of the modifie...
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ISBN:
(纸本)1889335185
A modification of the Particle Swarm Optimizer involving updating obsolete particle memories has been shown to be effective in locating a changing extrema. In this paper we investigate the effectiveness of the modified PSO in tracking changing extrema over time. We demonstrate that a modified PSO we call Adaptive PSO (APSO) reliably and accurately tracks a continuously changing solution.
The seamless integration of commercial-off-the-shelf (COTS) components offers many benefits associated with reuse. Even with successful composite applications, unexpected interoperability conflicts can arise when COTS...
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Integrating COTS products into a composite application can reduce development effort and associated costs. A major drawback comes from interoperability problems that hinder the seamless integration of components. Two ...
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For many years, research results in requirements engineering (RE) have been developed without much interaction with, or impact on, industrial practice. Why is it so difficult to introduce RE research results into main...
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