Re: Navi cli doesn’t return some metrics

Hi.

Have issues with returning LUN data using NaviCLI-Linux-64-x86-en_US.7.33.9.2.31 for storages CX4-120 and VNX5200.

naviseccli -h 192.168.10.10 getall

VNX5200:

Private LUNs which are part of metalun always return “0” for metrics “Number of arrivals with non-zero queue” and “Sum queue lengths by arrivals”. For user LUNs which are not part of metalun everything returns fine.

CX4-120:

Private LUNs which are part of metalun always return “0” for metrucs “Read Requests”, “Write Requests”, “Number of arrivals with non-zero queue” and “Sum queue lengths by arrivals”

FOR ALL METALUN ON BOTH STORAGES:

for metaluns navicli doesn’t return metrics “read requests”, “write requests”, “Blocks read”, “blocks written”, “Sum queue lengths by arrivals”, “Number of arrivals with non-zero queue”

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Re: Questions regarding VNX Block threshold values for LUN and Port

VNX does not have performance threshold alerts.

If you’re looking what the specifications for the VNX, these are available on the Dell EMC Support by Product web site.

The Ports throughout and bandwidth are determined by the speed of the what the port is set to. For example, the typical Fiber Channel port using the 8Gb SFP supports about 800MB/s maximum and with protocol overhead is more like 720MB/s.

LUN IOPS and bandwidth is determined by the configuration used to create LUNs – the number of disks, the speed of the disks, the type of the disks (SSD, SAS, NL-SAS).

If you want active monitoring, then you’ll need something like the Dell EMC Monitoring and Reporting application.

glen

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Re: Firewall ports for SMARTS

We have a very secure environment that SA and FlexLM server is in one network and IP is in another. The firewall rules are strict and they have been blocking the upper ports from getting through. The issue is when IP tries to get a license from FLM, the firewall is blocking the port. As I’m researching this I’m finding a lot of ports that are not in the documentation (that I can find) trying to get back/forth from the application trying to communicate, all are ports that were not assigned when deploying SMARTS.

Is there a document that shows the ports the application needs to communicate internally?

Example is FLM. I have it set up on 1746, but the port being blocked is 52205, this is the port that seems to be blocked that is keeping my IP domain from getting a license and operating.

The firewall shows the destination being the SAM server from source IP server.

Destination Port:

22

33519

33840

52205

60643

Source Port list is too long to display. But starts at 32768 and stops at 61000. It seems to count up as it makes requests of the SA server.

Do all of these ports need to be allowed through the firewall, and is there a finite list or group that is known?

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Deep Neural Network Inference Performance on Intel® FPGAs using Intel® OpenVINO™

Inference is the process of running a trained neural network to process new inputs and make predictions. Training is usually performed offline in a data center or a server farm. Inference can be performed in a variety of environments depending on the use case. Intel® FPGAs provide a low power, high throughput solution for running inference. In this blog, we look at using the Intel® Programmable Acceleration Card (PAC) with Intel® Arria® 10GX FPGA for running inference on a Convolutional Neural Network (CNN) model trained for identifying thoracic pathologies.

  1. System Acceleration

Intel® FPGAs accelerate and aid the compute and connectivity required to collect and process the massive quantities of information around us by controlling the data path. In addition to FPGAs being used as compute offload, they can also directly receive data and process it inline without going through the host system. This frees the processor to manage other system events and enables higher real time system performance.

2. Power Efficiency

Intel® FPGAs have over 8 TB/s of on-die memory bandwidth. Therefore, solutions tend to keep the data on the device tightly coupled with the next computation. This minimizes the need to access external memory and results in a more efficient circuit implementation in the FPGA where data can be paralleled, pipelined, and processed on every clock cycle. These circuits can be run at significantly lower clock frequencies than traditional general-purpose processors and results in very powerful and efficient solutions.

3. Future Proofing

In addition to system acceleration and power efficiency, Intel® FPGAs help future proof systems. With such a dynamic technology as machine learning, which is evolving and changing constantly, Intel® FPGAs provide flexibility unavailable in fixed devices. As precisions drop from 32-bit to 8-bit and even binary/ternary networks, an FPGA has the flexibility to support those changes instantly. As next generation architectures and methodologies are developed, FPGAs will be there to implement them.

The model is a Resnet-50 CNN trained on the NIH chest x-ray dataset. The dataset contains over 100,000 chest x-rays, each labelled with one or more pathologies. The model was trained on 512 Intel® Xeon® Scalable Gold 6148 processors in 11.25 minutes on the Zenith cluster at DellEMC.

The model is trained using Tensorflow 1.6. We use the Intel® OpenVINO™ R3 toolkit to deploy the model on the FPGA. The Intel® OpenVINO™ toolkit is a collection of software tools to facilitate the deployment of deep learning models. This OpenVINO blog post details the procedure to convert a Tensorflow model to a format that can be run on the FPGA.

In this section, we look at the power consumption and throughput numbers on the Dell EMC PowerEdge R740 and R640 servers.

1. Using the Dell EMC PowerEdge R740 with 2x Intel® Xeon® Scalable Gold 6136 (300W) and 4x Intel® PACs.

Figure 1 and 2 show the power consumption and throughput numbers for running the model on Intel® PACs, and in combination with Intel® Xeon® Scalable Gold 6136. We observe that the addition of a single Intel® PAC adds only 43W to the system power while providing the ability to inference over 100 chest X-rays per second. The additional power and inference performance scales linearly with the addition of more Intel® PACs. At a system level, wee see a 2.3x improvement in throughput and 116% improvement in efficiency (images per sec per Watt) when using 4x Intel® PACs with 2x Intel® Xeon® Scalable Gold 6136.

r740_perf.png

Figure 1: Inference performance tests using ResNet-50 topology. FP11 precision. Image size is 224x224x3. Power measured via racadm.

r740_power.png

Figure 2 Performance per watt tests using ResNet-50 topology. FP11 precision. Image size is 224x224x3. Power measured via racadm.

2. Using the Dell EMC PowerEdge R640 with 2x Intel® Xeon® Scalable Gold 5118 (210W) and 2x Intel® PACs

We also used a server with lower idle power. We see a 2.6x improvement in system performance in this case. As before, each Intel® PAC linearly adds performance to the system, adding more than 100 inferences per second for 43W (2.44 images/sec/W).

r640_perf.png

Figure 3 Inference performance tests using ResNet-50 topology. FP11 precision. Image size is 224x224x3. Power measured via racadm.

r640_power.png

Figure 4 Performance per watt tests using ResNet-50 topology. FP11 precision. Image size is 224x224x3. Power measured via racadm.

Intel® FPGAs coupled with Intel® OpenVINO™ provide a complete solution for deploying deep learning models in production. FPGAs offer low power and flexibility that make them very suitable as an accelerator device for deep learning workloads.

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CX4 Storage Groupステータスについて

いつも参考にさせて頂いてます。

Goriponです。

とある現象についてお伺いさせてください。

ESXホストからFCスイッチ経由でCX4に接続されている環境があるのですが、

HBA1から SPA-2 , SPB-2

HBA2から SPA-3 , SPB-3

と設定を切っている4パス構成のSGがあります。

実は、このホストからみますと、HBA2からのアクセス閉塞が起きており、

GUIで確認した所、SPA-3 , SPB-3のConnectionが “~management”となっております。

通常、こちらには登録しているSG名が入るのですが。。。。

ただ、GUI上”Logged In” , “Registered”共にYesとなっており、

さらにこのSPポートは他のSGでは問題なく見えているため、H/W障害ではなさそうです。

この”~management”とは何ものなのか、

そして復旧方法があれば教えていただきたく投稿致しました。

GUIの画面キャプチャと構成概要を添付します。

色々な情報をMaskするため、ベタ塗りに加工してますがご容赦ください。

構成.JPG.jpgGUIステータス.JPG.jpg

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Re: Unable to boot to utility partition on VNX5300, help!

System is out of warranty and a lab system, its working but i want to reload the image on it because some configuration won’t let me delete it.

I boot it up with serial cable attached, and hit ctrl-c and per “Backrev Array” solution it’s supposed to do a Minisetup and reboot a few times. It never reboots it just sits at the “int13 – EXTENDED READ (4000)” and never goes further.

I rebooted it manually myself and try to start the process again but I just get this… any ideas?

ABCDabcdEFabcd << Stopping after POST >> GabcdefHabcdefIabcdefJabcdeKLabMabNabOabcPQRSTUVWabXYabZAABBCCabDDabcEEabcFFabcGGabcHHabcIIabJJabKKLLMMNNOOPPQQRRSSTTUUVVWWXX

************************************************************

* Extended POST Messages

************************************************************

INFORMATION: POST Start

INFORMATION: MCU Operating mode changed from Linux to Clariion

INFORMATION: PSB not present

************************************************************

EndTime: 10/28/2018 15:29:59

…. Storage System Failure – Contact your Service Representative …

*******

Enclosure: 0x0008000B : Added to Table

Motherboard: 0x00130009 : Added to Table

Memory: 0x00000001

DIMM 0: 0x00000001

DIMM 1: 0x00000001

DIMM 2: 0x00000001

Mezzanine: 0x00100007

I/O Module 0: 0x00000001 : Added to Table

I/O Module 1: 0x00000001 : Added to Table

Power Supply A: 0x000B0014

Power Supply B: 0x00000001

0x00130009: MCU 0540

0x00130009: CMDAPP 0504

0x00130009: CMDTABLE 0096

0x00130009: CMDBOOT 0002

0x00130009: PLX 0305

0x000B0014: PS FW 0027

Checksum valid

Relocating Data Directory Boot Service (DDBS: Rev. 05.03)…

DDBS: K10_REBOOT_DATA: Count = 1

DDBS: K10_REBOOT_DATA: State = 0

DDBS: K10_REBOOT_DATA: ForceDegradedMode = 0

DDBS: **** WARNING: SP rebooted unexpectedly before completing MiniSetup on the Utility Partition.

DDBS: MDDE (Rev 600) on disk 1

DDBS: MDDE (Rev 600) on disk 3

DDBS: MDB read from both disks.

DDBS: Chassis and disk WWN seeds match.

DDBS: First disk is valid for boot.

DDBS: Second disk is valid for boot.

Utility Partition image (0x0040000F) located at sector LBA 0x1453D802

Disk Set: 1 3

Total Sectors: 0x013BA000

Relative Sectors: 0x00000800

Calculated mirror drive geometry:

Sectors: 63

Heads: 255

Cylinders: 1287

Capacity: 20686848 sectors

Total Sectors: 0x013BA000

Relative Sectors: 0x00000800

Calculated mirror drive geometry:

Sectors: 63

Heads: 255

Cylinders: 1287

Capacity: 20686848 sectors

Stopping USB UHCI Controller…

Stopping USB UHCI Controller…

EndTime: 10/28/2018 15:33:37

int13 – RESET (1)

int13 – CHECK EXTENSIONS PRESENT (3)

int13 – CHECK EXTENSIONS PRESENT (5)

int13 – GET DRIVE PARAMETERS (Extended) (6)

int13 – EXTENDED READ (200)

int13 – EXTENDED READ (400)

int13 – EXTENDED READ (600)

int13 – READ PARAMETERS (800)

int13 – READ PARAMETERS (802)

int13 – DRIVE TYPE (803)

int13 – CHECK EXTENSIONS PRESENT (804)

int13 – GET DRIVE PARAMETERS (Extended) (805)

int13 – READ PARAMETERS (806)

int13 – EXTENDED WRITE (846)

int13 – EXTENDED WRITE (847)

int13 – EXTENDED WRITE (848)

int13 – READ PARAMETERS (964)

int13 – DRIVE TYPE (965)

int13 – CHECK EXTENSIONS PRESENT (966)

int13 – GET DRIVE PARAMETERS (Extended) (967)

int13 – READ PARAMETERS (968)

int13 – EXTENDED WRITE (997)

int13 – EXTENDED WRITE (998)

int13 – EXTENDED WRITE (999)

int13 – EXTENDED READ (1000)

int13 – EXTENDED WRITE (1012)

int13 – EXTENDED WRITE (1013)

int13 – EXTENDED WRITE (1014)

int13 – EXTENDED READ (1200)

int13 – EXTENDED READ (1400)

int13 – EXTENDED READ (1600)

int13 – EXTENDED READ (1800)

int13 – EXTENDED READ (2000)

int13 – EXTENDED READ (2200)

int13 – EXTENDED READ (2400)

int13 – EXTENDED READ (2600)

int13 – EXTENDED READ (2800)

int13 – EXTENDED READ (3000)

int13 – EXTENDED READ (3200)

int13 – EXTENDED READ (3400)

int13 – EXTENDED READ (3600)

int13 – EXTENDED READ (3800)

int13 – EXTENDED READ (4000)

It doesn’t seem to ever go past this… so I cannot move on to the next steps in the solution.

any help or experience with this would be much appreciated!

-M

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Re: SyncIQ – Target unconfigured, unlicensed, or off

I am trying to start a simple SyncIQ task from one Isilon to another, but it fails.

I have the error : Target unconfigured, unlicensed, or off

Steps I´ve taken :

– Verified licenses as ok.

– Checked network to both devices (all nodes up and pingable)

– Checked directory access to source and to target (using a windows client I mapped to both places)

Does anyone have knowledge of the error? I´ve been through the troubleshooting workflow and this error message isn´t even mentioned. So hitting my head against a brick wall at the moment.

Much appreciated…..

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