<p class="Abstract">Resource-constrained project scheduling and configuration determines the progress of the construction and quality. This paper proposes a simulation modeling method based on 0-1 variables according to multi-resource dynamic allocation and scheduling of discrete features, use digital circuit based simulation method to make a 0-1 variables model for multi-resource dynamic allocation and configuration problem. This paper constructs a model for dynamic resources allocation and scheduling based on priority and fuzzy theory. And use ant colony algorithm with trust mechanism to solve it. The algorithm simulates ant feeling of mutual trust and act and is subject to significant interaction between consciousness and unconsciousness in path selection, so that in the initial time to use their own experience, thereafter conditionally accept the trust mechanism for peers to influence the information volume, at the same time modify the amount of information on the path adaptively. In this way have good balance between accelerating the convergence and preventing early-maturing, stagnation. Each ant as an Agent, the autonomy of ant Agent shall be autonomous; each has some control of their own behavior. Through the port logistics scheduling system simulation applications, the results reflect the algorithm has good convergence and meet the actual production.</p>
With the advanced technology used to design VLSI (Very Large Scale Integration) circuits, low-power and energy-efficiency have played important roles for hardware and software implementation. Real-time scheduling is one of the fields that has attracted extensive attention to design low-power, embedded/real-time systems. The dynamic voltage scaling (DVS) and CPU shutdown are the two most popular techniques used to design the algorithms. In this paper, we firstly review the fundamental advances in the research of energy-efficient, real-time scheduling. Then, a unified framework with a real Intel PXA255 Xscale processor, namely real-energy, is designed, which can be used to measure the real performance of the algorithms. We conduct a case study to evaluate several classical algorithms by using the framework. The energy efficiency and the quantitative difference in their performance, as well as the practical issues found in the implementation of these algorithms are discussed. Our experiments show a gap between the theoretical and real results. Our framework not only gives researchers a tool to evaluate their system designs, but also helps them to bridge this gap in their future works.
In the past decades, many algorithms with the goal of achieving energy efficiency have been proposed for scheduling real-time tasks. Due to a lack of a unified testing framework, most of them were evaluated via simulations under their own experimental scenarios. However, finding their performance in real processors is essential if these algorithms are to be used in practice. In this paper, we design a unified framework to evaluate power-aware scheduling algorithms based on a real Intel PXA255 XScale processor, and present a case study to compare several key algorithms using DVS/Shut-Down. The energy efficiency and the quantitative difference in their performance as well as the practical issues found in the implementation of these algorithms are discussed. Our experiments show a gap between the theoretical results and the real results. Our framework not only gives researchers a tool to evaluate their system designs, but also helps them to bridge this gap in their future works.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.