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LUNs, Cell Disks, and Grid Disks As shown in Figure 5-2, each hard disk gets presented to the Exadata Storage Server Software and the OS as a logical unit (LUN) A LUN is the representation of the hard disk to the OS The Exadata Storage Server Software will take the LUN and format it to create a cell disk There is a one-to-one relationship between a LUN and a cell disk When the cell disk is created, it reserves a small portion of the available storage on the LUN for a system area The system area is used to store information about the LUNs, cell disks, and grid disks (discussed next) created on top of the cell disks The system area on the first two drives is special since it stores the Oracle Linux operating system and the Linux file systems of the Exadata Storage Server Grid disks add another layer of logical abstraction on the physical storage and are created on top of cell disks Grid disks are the entities that get presented to Oracle ASM as ASM disks, and ASM diskgroups get created across the available ASM disks (ie, grid disks) You can create multiple grid disks per cell disk, and when a grid disk is created, it will carve out a chunk of space from the unused outer tracks of the physical disk The first grid disk created on the cell disk will allocate space from the outer tracks and move towards the inner tracks, reserving the number of tracks that correspond to the size of the grid disk This grid disk provides the fastest performance since the outer tracks of a hard disk provide the best read/write performance The next grid disk you will create starts from the tracks where the first grid disk ends, and this process repeats until you exhaust all the space on the cell disk or you are done creating the grid disks Creating multiple grid disks per cell disk allows you to create multiple pools of storage on the same Exadata Storage Server The multiple grid disks can be assigned to separate ASM diskgroups, which can be provisioned to different databases Even within the same database, you can store your.

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[23] J E Bortz A new mathematical formulation for strapdown inertial navigation IEEE Transactions on Aerospace and Electronic Systems, 7(1):61 66, 1971 [24] B Bowring Transformation from spatial to geographical coordinates Survey Review, XXXIII:323 327, 1976 [25] M S Braasch, A M Fink, and K Du us Improved modeling of GPS selective availability In Proceedings of the Institute of Navigation National Technical Meeting, pages 121 130, 1993 [26] K R Britting Self alignment techniques for strapdown inertial navigation systems with aircraft applications Journal of Aircraft, 7(4):302 307, 1970 [27] K R Britting Inertial Navigation Systems Analysis Interscience, New York, 1971 Wiley-

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[28] W L Brogan Modern Control Theory Prentice Hall, Englewood Cli s, NJ, 3rd edition, 1991 [29] R G Brown Kalman lter modeling In Proceedings of the 16th Annual Precise Time and Time Interval (PTTI) Applications and Planning Meeting, pages 261 272, 1984 [30] R G Brown Integrated navigation systems and Kalman ltering: A perspective Navigation: Journal of the Institute of Navigation, 19(4):355 362, Winter 1972-73 [31] R G Brown and Y C Hwang Introduction to random signals and applied Kalman ltering J Wiley, New York, 2nd edition, 1992 [32] R G Brown and D J Winger Error analysis of an integrated inertial/Doppler-satellite system with continuous and multiple satellite coverage Technical report, Engineering Research Institute, Iowa State University, January 1971 [33] C Broxmeyer Inertial navigation systems McGraw-Hill electronic sciences McGraw-Hill, New York, 1964 [34] R S Bucy and P D Joseph Filtering for Stochastic Processes with Applications to Guidance Wiley, New York, 1968 [35] E Cannon High-accuracy GPS semikinematic positioning: Modeling and results Navigation: Journal of the Institute of Navigation, 37(1):53 64, Summer 1990

FIGURE 5-2

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[36] R H Cannon Alignment of inertial guidance systems by gyrocompassing linear theory Journal of Aerospace Science, 28(11):885 895, 912, 1961 [37] A B Chat eld Fundamentals of High Accuracy Inertial Navigation, volume 171 of Progress in Astronautics and Aeronautics AIAA, Reston Virginia, 1997 [38] C-T Chen Linear Systems Theory and Design Oxford University Press, New York, 3rd edition, 1999 [39] D R Childs, D M Co ey, and S P Travis Error statistics for normal random variables Technical Report AD-A011 430, Naval Underwater Systems Center, May 1975 [40] C E Cohen Attitude Determination Using GPS PhD dissertation, Stanford Univ, Stanford, CA, Depart of Aeronautics and Astronautics, December 1992 [41] J L Crassidis and F L Markley New algorithm for attitude determination using global positioning system signals Journal of Guidance, Control, and Dynamics, 20(5):891 896, 1997 [42] J L Crassidis and F L Markley Predictive ltering for attitude estimation without rate sensors Journal of Guidance, Control, and Dynamics, 20(3):522 527, 1997 [43] J J DeAzzo and C H Houpis Linear Control System Analysis and Design: Conventional and Modern McGraw-Hill, New York, 2nd edition, 1981 [44] M Djodat Comparison of various di erential global positioning systems Master s thesis, California State University, Fullerton, July 1996 [45] W L Elbert Estimating the Euler attitudes Technical Report JHU/APL-T-G-1329, John Hopkins Applied Physics lab, November 1981 [46] H J Euler and C H Hill Attitude determination: Exploring all information for optimal ambiguity resolution In Proc of the ION GPS-95, pages 1751 1757, 1995 [47] J C Fang and D J Wan A fast initial alignment method for strapdown inertial navigation system on stationary base IEEE Transactions on Aerospace and Electronic Systems, 32(4):1501 1505, 1996

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