Cloud computing is becoming a popular solution for storing data and executing applications, where task dispatching in the scheduling policy is significant to the overall performance in the Cloud systems. To minimize t...
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ISBN:
(纸本)9781479920303
Cloud computing is becoming a popular solution for storing data and executing applications, where task dispatching in the scheduling policy is significant to the overall performance in the Cloud systems. To minimize the makespan of the application consisting of many independent tasks, a heuristic task dispatching algorithm is proposed in this paper. Therein, the task is dispatched to the virtual machine with the least relative workload. Then combined with the local schedule strategy of the virtual machine, the performance of the task dispatching algorithm is analyzed and simulated in CloudSim, which indicate that the proposed algorithm can improve the performance of the clouds.
作者:
Xiu LiancunZheng ZhizhongChen ChunxiaGao YangNanjing Center
China Geological Survey Key Laboratory of R&D of Spectrum Detection Geological Instrument China Geological Survey Jiangsu Provincial Key Laboratory of Spectral Imaging and Intelligent Sensing
In recent years, the near-infrared spectroscopy measurement technology in China has made considerable progress;it has been widely used in the fields of agriculture, chemistry, geology, and medicine measurement. The ne...
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ISBN:
(纸本)9781538619797;9781538619780
In recent years, the near-infrared spectroscopy measurement technology in China has made considerable progress;it has been widely used in the fields of agriculture, chemistry, geology, and medicine measurement. The nearinfrared spectroscopy is very sensitive to the characteristics of CH(methyl, a methylene group, a methoxy group, a carboxyl group, an aryl group, etc.), hydroxy O-H, mercapto S-H, and amino N-H. So, it can distinguish the crystallinity of single mineral(clay minerals, chlorite, serpentine, etc.), containing hydroxy silicate minerals(epidote, amphibole, etc.), sulfate minerals(alunite, pyritepotassium alum, gypsum, etc.), and carbonate minerals(calcite, dolomite, etc.) in the layered silicate. The character of near-infrared spectroscopy is one of the important guarantees for the instrument development of the small portable near-infrared mineral analyzer, and for its fast, accurate identification of rock samples. In this paper, we focus on the near-infrared spectral characteristics, identification method, and quantitative analysis method for the low-temperature alteration minerals;at the same time, a portable near infrared spectrometer and its principle were presented. In the experiment, spectral parameters were acquired from the characteristic spectra of altered minerals, and the relationship between altered minerals and ore-forming were established. The measured spectral data from the drilling rock cores in Zijinshan Mine in Fujian province was used as an example to illustrate the credibility of the proposed method.
The full polarimetric information of the target from polarized Synthetic Aperture Radar (POLSAR) enables us to implement recognition and classification of remote sensing images more effectively. Based on the analysis ...
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Mobile Edge computing (MEC) provides mobile and cloud computing capabilities within the access network, and aims to unite the telco and IT at the mobile network edge. This paper presents an investigation on the progre...
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ISBN:
(纸本)9781509017546
Mobile Edge computing (MEC) provides mobile and cloud computing capabilities within the access network, and aims to unite the telco and IT at the mobile network edge. This paper presents an investigation on the progress of MEC, and proposes a platform, named WiCloud, to provide edge networking, proximate computing and data acquisition for innovative services. Furthermore, the open challenges that must be addressed before the commercial deployment of MEC are discussed.
SERVQUAL model has been used to measure service quality in different industries. In most cases, this model was validated by confirmatory factor analysis approach. The objective of this research is to validate SERVQUAL...
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Protein is an important molecule that performs a wide range of functions in biological systems. The GOR algorithm is one of the most successful computational methods to predict secondary structure from protein sequenc...
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Most Web browsers are designed for visual interaction, which receive input and render webpage content via a graphical and visual mode. For people with visual disabilities, access to the Web is very difficult. In this ...
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Energy minimization is often the key point of solving problems in computer *** decades,many methods have been proposed(deterministic,stochastic,…).Some can only reach local minimum and others strong local minimum clo...
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ISBN:
(纸本)9781424467860
Energy minimization is often the key point of solving problems in computer *** decades,many methods have been proposed(deterministic,stochastic,…).Some can only reach local minimum and others strong local minimum close to the optimal solution(global minimum).Since beginning of 21th century,minimization based on Graph theory have been generalized to find global minimum of multi-labeling problems. In this work,we study deterministic local minimization methods (Iterative Conditional Modes and Direct Descent Energy),and a stochastic global minimization with an improved Simulated Annealing algorithm.A new approach formulation to help local minimization to converge to a minimum closed to the global one is *** method combines local and global energy constraints in an multiresolution *** focus on stereo matching *** improved Simulated Annealing proved to reach global minimum as good as Graph based minimization methods. Promising results of proposed local minimization methods are obtained on Middlebury Stereo database compare to global methods.
It is my pleasure to serve as the guest editor of this special issue consisting of the papers selected from the 5th ieeeinternational Green computingconference 2014 (IGCC). IGCC provides a forum for presenting and d...
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It is my pleasure to serve as the guest editor of this special issue consisting of the papers selected from the 5th ieeeinternational Green computingconference 2014 (IGCC). IGCC provides a forum for presenting and discussing innovative research on a broad range of topics in the fields of sustainable and energy-efficient computing and computing for a more sustainable planet. This special issue consists of papers selected from those presented in IGCC14, which was held in December 2014. Aligning with the high-quality standards of SUSCOM, we were highly selective and accepted only the top contributions in this special issue after a rigorous review process. We believe that these papers reflect current research trends and key issues related to green computing. The accepted papers are introduced below.
In 2008, Lotfi Zadeh concluded that to make significant progress toward achievement of human level machine intelligence a paradigm shift is needed. In previous papers we introduced the computational information conser...
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ISBN:
(纸本)9781538607718
In 2008, Lotfi Zadeh concluded that to make significant progress toward achievement of human level machine intelligence a paradigm shift is needed. In previous papers we introduced the computational information conservation theory (CICT) approach to get more effective and reliable cognitive, biophysical, and biomedical engineering simulation solutions. CICT new computational information conservation awareness can open the way for a paradigm shift to recover lost coherence information in system description and to develop even advanced quantum cognitive systems. To achieve this result, in present paper, we show the fundamental pre-spatial geometro-arithmetic scheme defining optimized numeric word generators and relations to minimize the traditional multiscale statistic modeling veil opacity and information entropy generation. It is the first, fundamental step to an effective progression from computing with numbers to computing with numeric words with precisation of their meaning. This paper is a relevant contribution towards an effective and convenient "Science 2.0" universal computational framework to achieve deeper cognitive intelligence at your fingertips and beyond.
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