Cisco predicts nearly 5 zettabytes of IP traffic per year by 2022

Cisco foresees a massive buildup of IP traffic – 4.8 zettabytes per year by 2022, which is over three-times the 2017 rate – lead by the increased use of IoT device traffic, video and sheer number of new users coming onboard. The company also says there will be 4.8 billion Internet users by 2022, up from 3.4 billion in 2017.Those predictions are from Cisco’s Visual Networking Index, its annual look at the state of the Internet culled from actual network traffic reports and independent analyst forecasts.To read this article in full, please click here

Cisco predicts nearly 5 zettabytes of IP traffic per year by 2022

Cisco foresees a massive buildup of IP traffic – 4.8 zettabytes per year by 2022, which is over three-times the 2017 rate – lead by the increased use of IoT device traffic, video and sheer number of new users coming onboard. The company also says there will be 4.8 billion Internet users by 2022, up from 3.4 billion in 2017.Those predictions are from Cisco’s Visual Networking Index, its annual look at the state of the Internet culled from actual network traffic reports and independent analyst forecasts.To read this article in full, please click here

HPE edge offerings merge analytics, applications and IoT systems control

HPE is offering new Edgeline Converged Edge System hardware and software designed to let enterprises not only control machines in their facilities, but also manage and analyze the sea of data generated by devices and sensors at the edge network.The new software lets enterprise network managers and data-center administrators merge data from a variety of third-party applications and remotely manage as many as thousands of Edgeline hardware systems, which are capable of running unmodified enterprise applications, HPE said at its Discover Conference in Madrid Tuesday.To read this article in full, please click here

Towards usable checksums: automating the integrity verification of web downloads for the masses

Towards usable checksums: automating the integrity verification of web downloads for the masses Cherubini et al., CCS’18

If you tackled Monday’s paper on BEAT you deserve something a little easier to digest today, and ‘Towards usable checksums’ fits the bill nicely! There’s some great data-driven product management going on here as the authors set out to quantify current attitudes and behaviours regarding downloading files from the Internet, design a solution to improve security and ease-of-use, and then test their solution to gather feedback and prepare for a more widely deployed beta version.

When I was growing up we were all taught “Don’t talk to strangers”, and “Never get in a stranger’s car”. As has been well noted by others, so much for that advice! Perhaps the modern equivalent is “Don’t download unknown files from the Internet!” This paper specifically looks at applications made directly available from developer websites (vs downloads made through app stores).

A popular and convenient way to download programs is to use official app stores such as Apple’s Mac App Store and Microsoft’s Windows Store. Such platforms, however, have several drawbacks for developers, including long review and validation times, technical restrictions (e.g., sandboxing), Continue reading

Python Pandas – Reading text files got a lot better.

Problem Statement – Have a list of VMWare Instances and wanted to quickly iterate and see what VMs are powered on, this has nothing to do with Vmware or ESXI, look at the below image, programmatically I want to pick two specific rows and perform dictionary operations on them.

Git – https://github.com/yukthr/auts/blob/master/random_programs/pandas_vmware_esxi.py

for someone like me who is partly into programming and mostly into networking, anything effective is easy, I could have gone with the other way of doing this but  since Pandas are effective i would text parsing with them.

 

I only want two sections which are of interest to me, in a normal way maybe I should have pasted this in excel and Do a text to the column and do a manual data extraction, but wanted to do it with Pandas and they are powerful.

First things first

  • Read with Pandas
  • Read the text
  • If possible convert into CSV (as I have some experience with csv file operations)
  • Then split the Columns and make the dictionary for further use

 

 

Let’s see how this proceeds

Pandas make it so powerful to just pick Columns out of the fly, in this case, I wanted Continue reading

Pratt & Whitney Launches HPC to The Cloud To Push Jet Engine Design

HPC and the cloud have an uneasy, lukewarm relationship. Some corporations running HPC environments take the view that they have the infrastructure and software capabilities they need to run their own often massive workloads and taking on the networking costs, security concerns and management hassles of running applications and keep data in the cloud doesn’t make sense to them. …

Pratt & Whitney Launches HPC to The Cloud To Push Jet Engine Design was written by Jeffrey Burt at .

BiB 060: Focus On Your Data & Not Where It’s Stored With HammerSpace

The simplest way to describe HammerSpace is that they are an abstraction layer between data and metadata. David Flynn, CEO described it like this. “We have introduced an abstraction which separates the data consumer side and the storage infrastructure side. And that’s really what’s necessary before we can manage data in the cloud.”

The post BiB 060: Focus On Your Data & Not Where It’s Stored With HammerSpace appeared first on Packet Pushers.

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