02-15-2011
if the mirroring is done properly the drives should be bootable...
Last edited by DukeNuke2; 02-15-2011 at 05:55 PM..
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1. Solaris
Hello,
I am trying to do mirror in solaris 9. I have total 0-7 disks
4 5 6 7
0 1 2 3
Drive 0 and Drive 4 = Boot Drives
Need to Mirror following drives.
Drive 1 and Drive 5 = Need to mirror
Drive 1 was mounted on: /prod1, /prod2, /prod3, /prod4, /prod5.
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2. Solaris
Hi all,
I have a problem with vxvm volume which is mirror with two disks. when i am try to increase file system, it is throwing an ERROR: can not allocate 5083938 blocks, ERROR: can not able to run vxassist on this volume.
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3. Solaris
Hi All,
How do I break the solaris 8 mirror? And how do I make sure I will point the first hd mirror on reboot.
If the first break mirror won't boot. How do I make the copy mirror to boot?
Thanks in advance,
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4. Solaris
Hello All,
I have small doubt. It's related to SVM in solaris 10. I have created raid 0 (striping) using 3 slices of 500 MB size (default interlace value as 32KB)
d2: Concat/Stripe ---- Interlace value is 32 KB
Size: 2923830 blocks (1.4 GB)
Stripe 0: (interlace: 64 blocks)
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5. Solaris
Hi Friends,
I have to migrate my raid-1 volume to raid -5 online.
Can anyone please help me, If possible then send me the step by step commands for online migration.
Thanks in advance. (2 Replies)
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6. Solaris
hi,
I'm newbie in Solaris 10. can someone explain me the steps of how to create mirror disk in Solaris machine.
thanks in advance (5 Replies)
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7. Solaris
i heard some where veritas volume manager wont work on solaris x86. i have installed vmware into my 32bit xp machine. i am planning to learn veritas..
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I have a machine (5.10 Generic_142900-03 sun4u sparc SUNW,Sun-Fire-V210) that we are upgrading the storage and my task is to mirror what is already on the machine to the new disk. I have the disk, it is labeled and ready but I am not sure of the next steps to mirror the existing diskgroup and... (1 Reply)
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10. Solaris
Need a procedure document to do "root disk mirroring in solaris volume manager for solaris 10". I hope some one will help me asap. I need to do it production environment.
Let me know if you need any deatils on this.
Thanks,
Rama (1 Reply)
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SVM(3) 1 SVM(3)
The SVM class
INTRODUCTION
CLASS SYNOPSIS
SVM
SVM
Constants
o const integer$SVM::C_SVC0
o const integer$SVM::NU_SVC1
o const integer$SVM::ONE_CLASS2
o const integer$SVM::EPSILON_SVR3
o const integer$SVM::NU_SVR4
o const integer$SVM::KERNEL_LINEAR0
o const integer$SVM::KERNEL_POLY1
o const integer$SVM::KERNEL_RBF2
o const integer$SVM::KERNEL_SIGMOID3
o const integer$SVM::KERNEL_PRECOMPUTED4
o const integer$SVM::OPT_TYPE101
o const integer$SVM::OPT_KERNEL_TYPE102
o const integer$SVM::OPT_DEGREE103
o const integer$SVM::OPT_SHRINKING104
o const integer$SVM::OPT_PROPABILITY105
o const integer$SVM::OPT_GAMMA201
o const integer$SVM::OPT_NU202
o const integer$SVM::OPT_EPS203
o const integer$SVM::OPT_P204
o const integer$SVM::OPT_COEF_ZERO205
o const integer$SVM::OPT_C206
o const integer$SVM::OPT_CACHE_SIZE207
Methods
o public SVM::__construct (void )
o public float svm::crossvalidate (array $problem, int $number_of_folds)
o public array SVM::getOptions (void )
o public bool SVM::setOptions (array $params)
o public SVMModel svm::train (array $problem, [array $weights])
PREDEFINED CONSTANTS
SVM CONSTANTS
o SVM::C_SVC -The basic C_SVC SVM type. The default, and a good starting point
o SVM::NU_SVC -The NU_SVC type uses a different, more flexible, error weighting
o SVM::ONE_CLASS -One class SVM type. Train just on a single class, using outliers as negative examples
o SVM::EPSILON_SVR -A SVM type for regression (predicting a value rather than just a class)
o SVM::NU_SVR -A NU style SVM regression type
o SVM::KERNEL_LINEAR -A very simple kernel, can work well on large document classification problems
o SVM::KERNEL_POLY -A polynomial kernel
o SVM::KERNEL_RBF -The common Gaussian RBD kernel. Handles non-linear problems well and is a good default for classification
o SVM::KERNEL_SIGMOID -A kernel based on the sigmoid function. Using this makes the SVM very similar to a two layer sigmoid based
neural network
o SVM::KERNEL_PRECOMPUTED -A precomputed kernel - currently unsupported.
o SVM::OPT_TYPE -The options key for the SVM type
o SVM::OPT_KERNEL_TYPE -The options key for the kernel type
o SVM::OPT_DEGREE -
o SVM::OPT_SHRINKING -Training parameter, boolean, for whether to use the shrinking heuristics
o SVM::OPT_PROBABILITY -Training parameter, boolean, for whether to collect and use probability estimates
o SVM::OPT_GAMMA -Algorithm parameter for Poly, RBF and Sigmoid kernel types.
o SVM::OPT_NU -The option key for the nu parameter, only used in the NU_ SVM types
o SVM::OPT_EPS -The option key for the Epsilon parameter, used in epsilon regression
o SVM::OPT_P -Training parameter used by Episilon SVR regression
o SVM::OPT_COEF_ZERO -Algorithm parameter for poly and sigmoid kernels
o SVM::OPT_C -The option for the cost parameter that controls tradeoff between errors and generality - effectively the penalty for
misclassifying training examples.
o SVM::OPT_CACHE_SIZE -Memory cache size, in MB
PHP Documentation Group SVM(3)