COG modeling and analysis of large scale SoS

Grid computing is a newly developed technology for complex systems with large-scale resource sharing, wide-area communication, and multi-institutional collaboration. It is hard to analyze and model the Grid reliability because of its largeness, complexity and stiffness. Therefore, this chapter introduces the Grid computing technology, presents different types of failures in grid system, models the grid reliability with star structure and tree structure, and finally studies optimization problems for grid task partitioning and allocation. The chapter then presents models for star-topology considering data dependence and treestructure considering failure correlation. Evaluation tools and algorithms are developed, evolved from Universal generating function and Graph Theory. Then, the failure correlation and data dependence are considered in the model. Numerical examples are illustrated to show the modeling and analysis.

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Modeling and Analysis of Uplink Non-Orthogonal Multiple Access (NOMA) in Large-Scale Cellular Networks Using Poisson Cluster Processes

IEEE Transactions on Communications ◽

10.1109/tcomm.2017.2699180 ◽

2017 ◽

pp. 1-1 ◽

Cited By ~ 68

Author(s):

Hina Tabassum ◽

Ekram Hossain ◽

Md. Jahangir Hossain

Keyword(s):

Cellular Networks ◽

Multiple Access ◽

Large Scale ◽

Modeling And Analysis ◽

Poisson Cluster ◽

Cluster Processes

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Precise modeling and analysis of large-scale AS/RS

Proceedings of Winter Simulation Conference ◽

10.1109/wsc.1994.717480 ◽

2005 ◽

Cited By ~ 5

Author(s):

S. Takakuwa

Keyword(s):

Large Scale ◽

Modeling And Analysis

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Modeling of an Electromagnetic Vibration Energy Harvester With Motion Magnification

Volume 7: Dynamic Systems and Control; Mechatronics and Intelligent Machines, Parts A and B ◽

10.1115/imece2011-65613 ◽

2011 ◽

Cited By ~ 20

Author(s):

Zhongjie Li ◽

Zachary Brindak ◽

Lei Zuo

Keyword(s):

Large Scale ◽

Nonlinear Models ◽

Vibration Energy ◽

Vibration Energy Harvesting ◽

Vibration Energy Harvester ◽

Modeling And Analysis ◽

Vehicle Suspensions ◽

Shock Absorbers ◽

Potential Applications ◽

Motion Magnification

This paper presents the modeling and analysis of an electromagnetic harvester for potential applications in large-scale vibration energy harvesting such as from vehicle suspensions or civil structures. The kinematics and dynamics of a motion mechanism and generator are considered, including backlash and friction. In this study, a dynamic model for a rack-pinion type regenerative shock absorber has been derived and analyzed based on differential equations. To understand the influence of the friction and backlash on the system, nonlinear models have been created. Simulations are carried out to study the features of the design. The validation of the models is demonstrated by comparing the simulation results with experimental measurements. Guidelines are given for the design of this type of regenerative shock absorbers.

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Pipeline Reduction of Binary Light Curves from Large–Scale Surveys

Proceedings of the International Astronomical Union ◽

10.1017/s1743921307004061 ◽

2006 ◽

Vol 2 (S240) ◽

pp. 217-229

Author(s):

Andrej Prša ◽

Tomaž Zwitter

Keyword(s):

Data Processing ◽

Large Scale ◽

Light Curves ◽

Medium Size ◽

Limited Data ◽

Observational Astronomy ◽

Modeling And Analysis ◽

Fully Automatic ◽

Ccd Detectors ◽

Rapid Shift

AbstractOne of the most important changes in observational astronomy of the 21st Century is a rapid shift from classical object-by-object observations to extensive automatic surveys. As CCD detectors are getting better and their prices are getting lower, more and more small and medium-size observatories are refocusing their attention to detection of stellar variability through systematic sky-scanning missions. This trend is aditionally powered by the success of pioneering surveys such as ASAS, DENIS, OGLE, TASS, their space counterpart Hipparcos and others. Such surveys produce massive amounts of data and it is not at all clear how these data are to be reduced and analysed. This is especially striking in the eclipsing binary (EB) field, where most frequently used tools are optimized for object-by-object analysis. A clear need for thorough, reliable and fully automated approaches to modeling and analysis of EB data is thus obvious. This task is very difficult because of limited data quality, non-uniform phase coverage and solution degeneracy. This paper reviews recent advancements in putting together semi-automatic and fully automatic pipelines for EB data processing. Automatic procedures have already been used to process Hipparcos data, LMC/SMC observations, OGLE and ASAS catalogs etc. We discuss the advantages and shortcomings of these procedures.

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