06-20-2018
It seems to me your problem is because of the firewall in between that is interfering with NFS communication. I think that the reason that you are having more problems with nfs_use_reserved_ports=1 is that there are fewer ports in the pool and you are therefore more likely to reuse a port that the Netapp SVM thinks is still in use. I think this can happen when the firewall interferes with normal communication and therefore the Netapp SVM has not learned that a port is no longer in use.
The firewall is probably configured to drop, rather than reject packets, so that is something that you could look into. Another thing to investigate is keep-alive signals and timeouts, to ensure that the firewall does not interfere..
That being said, it may be that your particular brand just does not work well with NFS, no matter what you try.
I am guessing that you are using a firewall to limit which systems are allowed to approach the filer, but I think it would be better if you put the firewall around the systems and the storage SVM so that there is a clear path between them, while also limiting which servers can approach the SVM.
Last edited by Scrutinizer; 06-20-2018 at 03:18 PM..
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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)