Rabbi Nachman of Breslov, who passed away in 1810 has written a hassidic story called The Rooster Prince.
In this story, a prince goes insane and believes that he is a rooster (or turkey.) He takes off his clothes, sits naked under the table, and pecks at his food on the floor. The king and queen are horrified that the heir to the throne is acting this way. They call in various sages and healers to try and convince the prince to act human again, but to no avail. Then a new wise man comes to the palace and claims he can cure the prince. He takes off his clothes and sits naked under the table with him, claiming to be a rooster, too. Gradually the prince comes to accept him as a friend. The sage then tells the prince that a rooster can wear clothes, eat at the table, etc. The Rooster Prince accepts this idea and, step-by-step, begins to act normally, until he is completely cured.
There are many interpretations to this story
My suggestion is to name the kings heir, Kim ( Kim Jong Un). We call the wise man who takes off his clothes Donald (Donald Trump, the 45th US President)
Donald, left and Kim, right
In a 2015 article on Medium, Cloud was defined still using the NIST (The National Institute of Standards and Technology) cloud definition expanded over the years to two pages. This is most accurate, long, academic, monotonous, boring definition of cloud computing.
This academic definition has been challenged by Jason Hoffman, the Ericsson's cloud guru at that time. Over the past decade Web-based services like Google, Facebook, Amazon and Microsoft have stopped buying finished computers, storage devices and network components and instead developed their own systems in-house to create massive, low-cost data centers in the cloud to serve billions of users.
He called them cloud factories, because CIO’s are thinking today (2015) how to begin to modernize the end-to-end IT infrastructure, so it can be a cloud factory.
Also there are some 2015 slides with the main points I extracted.
The Internet of Things (IoT) for business
This is a white paper from Aeris compiled by Syed Zaeem Hosain, CTO
The explosion of IoT, envisaged to reach 20 billion by 2020, requires a new look at the cloud
“The cloud” has been coined to describe the systems that allow processing and storage of information and data in extremely large data centers for a fee.
This has transferred the need for entities and corporations to maintain their own physical hardware, data centers, and data networks, etc., to the cloud providers. This eliminates traditional operational burdens of physical site maintenance, electrical power management, environmental conditioning, and system redundancy. "
The fee charges can be high for large-scale applications and large numbers of device deployments.
Fog Computing Diagram (see reference)
In general, the process in a cloud is a general is a “transmit everything and process in the cloud” implementation.
However, if actions based on the data must be processed in real-time or near-real-time, it may be better to process or filter the data remotely—at the device, or elsewhere hierarchically in the data flow before it gets to the remote storage. This remote processing and filtering has been termed “fog computing” by Cisco.
The diagram is self-explanatory
Cisco White Paper Fog Computing and the Internet of Things: Extend the Cloud to Where the Things Area originated the modern term of Fog Computing.
Edge Computing and Fog Computing
Cisco baptized the name Fog. but really in my opinion, this is the same as Edge Computing
In a recent interview Jason Hoffman, now CEO MobiledgeX answered the question "Where and what the edge computing is for you?
"For some reason, there is almost an over obsession of where and what their edge computing is right." In terms of Fog definition, wherever there is a need to (1) pre-process the data remotely, or (2) some data are processing and used in real time we have an edge.
Fog computing then manages the cloud and its' multiple edges, no matter where they are located.
Pros and cons for Fog Computing
This is from IBM
Telecom operated as Cloud and Edge Computing
This is for example the 13 countries operated by Deutsche Telekom today
The goal is to replace the legacy technologies in individual European countries with more centralized cloud systems catering to the entire region. In this way, Deutsche Telekom AG (NYSE: DT) hopes to collapse about 650 different service platforms into just 50. Instead of developing a new service 13 different times for 13 different countries, it would in future build and manage one service for all its operations.
They do not exist yet
The Edge and the Cloud universal platforms do not exist yet, but must be in produccion Most IoT advertising cloud functionality offer a lock-in that works for their products only.
Jason Hoffman has the idea of an IoT universal platform. He reminds us how Amazon Web Services started with a developer payment API, then to an API called messaging cue system and then a three API called optic store and then you know a compute service that was really just batch compute on the object store. The documentation for the whole thing was a couple of pages.
People are vulnerable
One of the world's most creative individuals, is sweating when giving a testimonial in Senate to people probably of inferior IQ when compared to him
Mark Zuckerberg testifying 2018
Listening to radio
I drive about once a week to Bay Area from my home. The radio is my companion for five hours a day. I could say the radio is a mirror of who we are.
I like for example Capital Public Radio 90.9 KXJZ broadcasting from California State University in Sacramento. I hear an interview on streaming with Margaret Heffernan. She is a famous TED speaker, I never heard before. All TED speakers are unknown and are made famous using a state of the art coaching in presentation skills.
The chicken experiment
In the talk Margaret told the story of Super chickens.
A biologist at Purdue University named William Muir studied chickens. He was interested in productivity -- I think it's something that concerns all of us -- but it's easy to measure in chickens because you just count the eggs.
Group 1: He selected an average flock, and he let it alone for six generations.
Group 2 A second group of the individually most productive chickens -- and he put them together in a superflock, and each generation, he selected only the most productive for breeding.
After six generations
What did he find? Well, the first group, the average group, was doing just fine. They were all plump and fully feathered and egg production had increased dramatically. What about the second group? Well, all but three were dead. They'd pecked the rest to death. The individually productive chickens had only achieved their success by suppressing the productivity of the rest.
The human analogy
All my life I've been told that the way we have to get ahead is to compete: get into the right school, get into the right job, get to the top, and I've really never found it very inspiring. I've started and run businesses because invention is a joy, and because working alongside brilliant, creative people is its own reward. And I've never really felt very motivated by pecking orders or by superchickens or by superstars. But for the past 50 years, we've run most organizations and some societies along the superchicken model. We've thought that success is achieved by picking the superstars, the brightest men, or occasionally women, in the room, and giving them all the resources and all the power. And the result has been just the same as in William Muir's experiment: aggression, dysfunction and waste. If the only way the most productive can be successful is by suppressing the productivity of the rest, then we badly need to find a better way to work and a richer way to live.
The importance of empathy
So what is it that makes some groups obviously more successful and more productive than others? Well, that's the question a team at MIT took to research. They brought in hundreds of volunteers, they put them into groups, and they gave them very hard problems to solve. And what happened was exactly what you'd expect, that some groups were very much more successful than others, but what was really interesting was that the high-achieving groups were not those where they had one or two people with spectacularly high I.Q. Nor were the most successful groups the ones that had the highest aggregate I.Q.
Instead, they had three characteristics, the really successful teams. First of all, they showed high degrees of social sensitivity to each other. This is measured by something called the Reading the Mind in the Eyes Test. It's broadly considered a test for empathy, and the groups that scored highly on this did better. Secondly, the successful groups gave roughly equal time to each other, so that no one voice dominated.
And thirdly, the more successful groups had more women in them. Now, what we know, which is some groups do better than others, but what's key to that is their social connectedness to each other.
Simply Zuckerberg alone, or Steve Jobs alone are NOT the success. They are bricks. The rest of us are the mortar, but these are transitory positions, because in any moment a brick can play the role of mortar and vice versa.
" and we won't solve our problems if we expect it to be solved by a few supermen or superwomen. Now we need everybody, because it is only when we accept that everybody has value that we will liberate the energy and imagination and momentum we need to create the best beyond measure."
As Margaret Heffernan says
Companies don't have ideas. Only people do
Silicon Valley and the Kafka's Castle
As I drive with huge, surreal trucks speeding and hooting around me and everybody is in a morbid hurry. Where do they want to go? To Silicon Valley dominated by the Google, Facebook and the like? This place is not like before, is controlled by superstars surrounded by bodyguards.
We are about to lose the culture of helpfulness, which is central to our success success.
Silicon Valley becomes like the book The Castle , Franz Kafka's novel from 1926. One can see the castle from the village, but no one knows how to get there.
The TED transcript has each word chosen carefully. Each word is rich in meaning and emotions at the same time.