This paper is devoted to a generalized particle model (GPM) approach to distributed problem-solving in MAS, which transforms the optimization problem of resource assignments and task allocations of MAS in complex envi...
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This paper is devoted to a generalized particle model (GPM) approach to distributed problem-solving in MAS, which transforms the optimization problem of resource assignments and task allocations of MAS in complex environment into the kinematics and dynamics in GPM. The complex environment in MAS that the proposed GPM approach may deal with includes: A variety of interactions randomly and concurrently occurring among agents;different personality and autonomy of distinct agents;different life-cycle period, congestion degree and failure rate for distinct entities in MAS. At first, the relation between the GPM and MAS in the context of distributed problem-solving is expatiated. Then the mathematical-physical formalization for GPM and the parallel algorithm GPMA are presented. The basic properties of the GPMA algorithm, including the feasibility, convergency and stability, are discussed. Through a number of simulation experiments and comparisons related to resource assignments and task allocations in MAS in complex environment, the authors demonstrate many advantages of the proposed GPM approach over other coalition methods for MAS problem-solving in terms of the parallelism and the suitability for complex environment.
A time-varying fault-tolerant field perceptive associative memory model is proposed and realized by software. One of the characters of this model is that it simulates the time-dependent changeability character of the ...
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A time-varying fault-tolerant field perceptive associative memory model is proposed and realized by software. One of the characters of this model is that it simulates the time-dependent changeability character of the fault-tolerant field of human brain's associative memory. This model can design proper fault-tolerant field for memory sample at different time according to the essentiality of memory sample. The second character is that it realizes the nonlinear association of infinite value pattern from n dimension space to m dimension space. And the fault-tolerant field of the memory samples is full of the whole real space Rn and the associative memory model has no spurious attractors. The third character is that the speed of associative memory about the model is faster.
A novel image feature termed neighbor edge directional difference unit histogram is proposed, in which the neighbor edge directional difference unit is defined and computed for every pixel in the image, and is used to...
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A novel image feature termed neighbor edge directional difference unit histogram is proposed, in which the neighbor edge directional difference unit is defined and computed for every pixel in the image, and is used to generate the neighbor edge directional difference unit histogram. This histogram and color histogram are used as feature indexes to retrieve color image. The feature is invariant to image scaling and translation and has more powerful descriptive for the natural color images. Experimental results show that the feature can achieve better retrieval performance than other color-spatial features.
With a SAN (Storage Area Network), large-capacity storage can be shared among multiple hosts at high speed. The potential market for SAN is enormous, but the technology won't become ubiquitous overnight. The compl...
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With a SAN (Storage Area Network), large-capacity storage can be shared among multiple hosts at high speed. The potential market for SAN is enormous, but the technology won't become ubiquitous overnight. The complex administration is indicated by many researches as a key barrier to adopt SAN solutions. This paper designs and implements a virtual storage image (VSI) that aggregates storage space located on heterogeneous storage nodes (see Fig.1)in a Fibre Channel point-to-point (FC-P2P) SAN.
H.264 is the latest international video coding standard. It adopts tree-structure macroblock partitions in motion-compensated coding modes to improve coding performance. This technology searches all available modes, s...
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Sensor networks are large scale networks of low-power devices that collaborate in order to perform a given task. The sensors are limited in battery energy, capacity and computational power. In recent years, researcher...
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This paper presents a novel storage architecture called Volume Holographic Universal Storage Cache (for short VHUSC) for the purpose of optimizing disk I/O performance. The main idea of VHUSC is to make use of the Vol...
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This paper presents a novel storage architecture called Volume Holographic Universal Storage Cache (for short VHUSC) for the purpose of optimizing disk I/O performance. The main idea of VHUSC is to make use of the Volume Holographic Memory, referred to as VHUSC, as a new layer between main memory and disk. VHUSC can lower the disk access latency, provide much higher I/O bandwidth and throughput. An application independent model based on queuing theory is proposed for performance comparison between VHUSC and traditional disk. The results show performance improvements of up to one order of magnitude.
Traditional RAID has the characteristics that location of stripe unit in each disk is stochastic and static, and that the outer zone of the disk has higher data transfer rate as compared to the inner one. Facing this ...
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In order to overcome the problem of making choice configuration parameters of RAID, we bring out mS_RAID. A key problem for it is how to choose the optimal stripe unit size. However, till now this issue is not solved,...
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