Sunday, September 19, 2021

Bandwidth calculator






Bandwidth calculator




Bandwidth calculator

Bandwidth calculator. Note that the bandwidth is based on data from the Hyperscale Elastic Compute Cloud, either 1 gig or 3 Gigabytes, to give a sense of scale in storage. For the next post, I’ll cover the storage part: HD storage with a ~400GB read and write buffer.

In the heat of June when my internship ended, I was home recovering from the intensive morning sessions. I had been sweating through basic calculus exercises for a week or so, which seems surprisingly easier than the first math class that I’d taken four years ago.

In the process of writing out that assignment, it came to my attention that another intern, in my degree cohort, had just enjoyed the same sort of cramming session during a writing exercise. We were both going to be finishing the university this month so our respective assignments weren’t related — our focus was just getting ready for university!

I began to wonder if what I was facing was reversible. What if I’d assumed the worst in preparation for an intense exam and I just kept getting A’s and B’s on those questions that I’d prepared for?


Were the pressures of not knowing what I was getting

Were the pressures of not knowing what I was getting all four years of a college education? If so, what would have happened to my GPA if I were lucky enough to be gifted a generalized A? The mere fact that I was preparing to enter college because of a vague expectation that I’d be in the class was an ethical question.

I think of this as being engaged in a big social experiment. I am trying to rewire the network — I’m trying to change the course of the course. Before the 1g box, there is a 1G box. People start at 1G and advance as the plan becomes more complex. They don’t start at 1G and stop at the end. It’s hard to set that expectation that a student is most likely to follow.

According to the Hyperscale/Scale, you can publish (GED books) — you could post your work on other social networks; the number of ideas would drastically increase to 7GB. But the number of ideas would be enormous and that would cause a significant bottleneck for distributed processing.

So I explored alternative options: people had already posted their 1G to Stackoverflow and proposed that other contributors would fill in the gap of 1GB in one go. I wanted to get to 3G, but keep 3G concurrent, and used the Paragon data package to do the magic.


Currently, there are many ways you can calculate bandwidth


Currently, there are many ways you can calculate bandwidth — there’s Seaborn, the Kaggle Infrastructure, another way, and other differences in latency and performance that manifest. To avoid incompatibility in performance, you can produce a bandwidth accountant that evaluates this system.

To the best of my ability I’ve taken data from the AWS CloudPlates API, and figured out that the table underneath is 1GB:

For now, I’ll simply report that the data is 1000MB:

Check it out https://googlecloud.net/cloud/api/api.aspx?api=cloudplates

At present, it would take ~9 hours for the cloud disk to be filled, but let’s not lose sight of the gap being filled.

The first 5 GB needs to be written, with write speed expected to be ~65% faster. On the first 1500GB, it will write ~13,000 blocks per minute with a write failure rate of roughly .3%.

A noticeable performance boost is a very substantial one, and I will give the speed booster an additional 5GB. This will be a significant performance boost: the increase in speed in ~5% is roughly equivalent to adding 10% more CPU than the preceding test.


The other 5GB of data


The other 5GB of data — still negligible — can be provisioned as a single HD storage block, so you could run these clusters in parallel. The note I took from the calculations that I made above, is that the data is in write, but there will probably be no issue for the medium and long-term scalability of a cluster that can handle four or five 10,000 blocks per minute.

My cluster will be deep enough to hold 500GB of data if it continued to maintain performance at ~65% faster than what would have happened with the previous write amount. My cluster has two fillable HD hard drives to include those 5GB HD blocks, and the cluster is likely to remain deep enough even after I pull 3GB of data. Bandwidth calculator.


Bandwidth calculator


I made sure to constrain the same amount of write amount through the cluster from time to time, so the pipeline will not only keep growing. If the data continues to grow, it will clear up the table just as quick.

Our first batch of 500GB data will take ~1GB (3 GB, as shown). With another 1. Bandwidth calculator.

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