Low Earth orbit (LEO) satellite networks are capable of providing wireless connectivity seamlessly and continuously to any part of the world with guaranteed short round-trip propagation delay. As a key part of next ge...
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Low Earth orbit (LEO) satellite networks are capable of providing wireless connectivity seamlessly and continuously to any part of the world with guaranteed short round-trip propagation delay. As a key part of next generation network (NGN) infrastructure, next generation satellite networks are expected to support a variety of applications with diverse performance requirements. This paper argues that the constellation tomography for the LEO satellite network is a preliminary step for efficient satellite network monitoring and performance promotion. To measure the constellation, a divide-and-conquer mechanism is developed for each parameter estimation by delay probing. The delay measurement is only carried out between two terminals located at the same geographic positions. Performance evaluation on several popular polar LEO constellations proves the accuracy and efficiency of the developed constellation tomography algorithms in divide-and-conquer manner. The geographic position limitation of the delay probing terminals for valid constellation inference is also analyzed in the paper
This paper presents a digital rights management model, which considers the integrated factors including legality, communication security, integrity of the content, and trading fairness. The architecture of the model, ...
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This paper presents a digital rights management model, which considers the integrated factors including legality, communication security, integrity of the content, and trading fairness. The architecture of the model, the necessary protocol for the copyright control and content distribution, the authentication mechanism which offer consumption registration for content fair distribution, of the model are all provided. The scheme also provides distribution and evidence for using the copyright of digital content fairly and effectively. Finally, analysis shows the proposed model has both high security and good performance.
The water quality is the most vital factor in a successfully healthy aquaculture. After investigation by 415 fish disease cases and experiments, it is found that eutrophication and the pollutants of NH3, H2S as well a...
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The water quality is the most vital factor in a successfully healthy aquaculture. After investigation by 415 fish disease cases and experiments, it is found that eutrophication and the pollutants of NH3, H2S as well as heavy metals and organic compounds are the main reasons of inducing fish disease in the north of China. Generally speaking, an early warning system for fish disease based on water management is a cheaper and alternative choice available for the fish farmers to warn the risks and to minimize disease problems. A Web-GIS-based fish disease early-warning system (FDEWS 2.0) based on water quality management has been developed by us. Building a water quality monitoring network in the aquafarm and integrating a series of simulation models with the GIS and the World-Wide-Web (WWW) are the key advantages of this system
Recently, large-scale protein-protein interactions were recovered using the similar two-hybrid system for the model systems. This information allows us to investigate the protein interaction network from a systematic ...
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Recently, large-scale protein-protein interactions were recovered using the similar two-hybrid system for the model systems. This information allows us to investigate the protein interaction network from a systematic point of view. However, experimentally determined interactions are susceptible to errors. A previous assessment estimated that only ~10% of the interactions can be supported by more than one independent experiment, and about half of the interactions may be false positives. These false positives might unnecessarily link unrelated proteins, resulting in huge apparent interaction clusters, which complicate elucidation for the biological importance of these interactions. Address this problem, we present an approach to integrate, assess and characterize all available protein-protein interactions in model organisms yeast and fly. We first integrate all available protein-protein interaction databases of yeast and fly, and merge all the datasets. We then use machine learning techniques to score the reliability for each interaction, and to rigorously validate the scoring scheme of yeast protein-protein interactions from different aspects. Our results show that this scoring scheme provides a good basis for selecting reliable protein-protein interaction dataset
Grid scheduling which aims at improving resource utilization and grid application performance is a key concern in grid. Currently, much research can be found about grid scheduling and some algorithms on it were propos...
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Grid scheduling which aims at improving resource utilization and grid application performance is a key concern in grid. Currently, much research can be found about grid scheduling and some algorithms on it were proposed. However, since grid resources are autonomic, distributed and their status change over time, those scheduling algorithms did not fit for the cases well. In this paper, a cache based feedback grid scheduling (CBFS) approach is presented to capture the dynamics and impact of simultaneously co-allocated tasks in a grid. In this approach, grid scheduler utilizes recent resource performance data, such as recent task submitting time and execution time of task which are kept in cache and a feedback approach to engineer load balancing across multiple grid resources. After comparing this dynamic grid scheduling approach with previous research, it is found that CBFS is more generous than other scheduling approaches. Experimental results demonstrate that this approach diminishes latency and contributes to the overall grid load balancing, which significantly improves resource utilization and response time of tasks.
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.
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.
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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