To Infinity and Beyond!
Vamsi Nekkanti looks at the future of data centers β in space and underwater
Data centers can now be found on land all over the world, and more are being built all the time. Because a lot of land is already being utilized for them, Microsoft is creating waves in the business by performing trials of enclosed data centers in the water.
They have already submitted a patent application for an Artificial Reef Data Center, an underwater cloud with a cooling system that employs the ocean as a large heat exchanger and intrusion detection for submerged data centers. So, with the possibility of an underwater cloud becoming a reality, is space the next-or final-frontier?
As the cost of developing and launching satellites continues to fall, the next big thing is combining IT (Information Technology) principles with satellite operations to provide data center services into Earth orbit and beyond.
Until recently, satellite hardware and software were inextricably linked and purpose-built for a single purpose. With the emergence of commercial-off-the-shelf processors, open standards software, and standardized hardware, firms may reuse orbiting satellites for multiple activities by simply downloading new software and sharing a single spacecraft by hosting hardware for two or more users.
This βSpace as a Serviceβ idea may be used to run multi-tenant hardware in a micro-colocation model or to provide virtual server capacity for computing βabove the clouds.β Several space firms are incorporating micro-data centers into their designs, allowing them to analyze satellite imaging data or monitor dispersed sensors for Internet of Things (IoT) applications.
HPE Spaceborne Computer-2 (a set of HPE Edgeline Converged EL4000 Edge and HPE ProLiant machines, each with an Nvidia T4 GPU to support AI workloads) is the first commercial edge computing and AI solution installed on the International Space Station in the first half of 2021Β (Image credit:Β NASA)
Advantages of Space Data Centers
The data center will collect satellite data, including images, and analyze it locally. Only valuable data is transmitted down to Earth, decreasing transmission costs, and slowing the rate at which critical data is sent down.
The data center might be powered by free, abundant solar radiation and cooled by the chilly emptiness of space. Outside of a solar flare or a meteorite, there would be a minimal probability of a natural calamity taking down the data center. Spinning disc drives would benefit from the space environment. The lack of gravity allows the drives to spin more freely, while the extreme cold in space helps the servers to handle more data without overheating.
Separately, the European Space Agency is collaborating with Intel and Ubotica on the PhiSat-1, a CubeSat with AI (Artificial Intelligence) computing aboard. LyteLoop, a start-up, seeks to cover the sky with light-based data storage satellites.
NTT and SKY Perfect JV want to begin commercial services in 2025 and have identified three primary potential prospects for the technology.
The first, a βspace sensing project,β would develop an integrated space and earth sensing platform that will collect data from IoT terminals deployed throughout the world and deliver a service utilizing the worldβs first low earth orbit satellite MIMO (Multiple Input Multiple Output) technology.
The space data center will be powered by NTTβs photonics-electronics convergence technology, which decreases satellite power consumption and has a stronger capacity to resist the detrimental effects of radiation in space.
Finally, the JV is looking into βbeyond 5G/6Gβ applications to potentially offer ultra-wide, super-fast mobile connection from space.
The Challenge of Space-Based Data Centers
Of course, there is one major obstacle when it comes to space-based data centers. Unlike undersea data centers, which might theoretically be elevated or made accessible to humans, data centers launched into space would have to be completely maintenance-free. That is a significant obstacle to overcome because sending out IT astronauts for repair or maintenance missions is neither feasible nor cost-effective! Furthermore, many firms like to know exactly where their data is housed and to be able to visit a physical site where they can see their servers in action.
While there are some obvious benefits in terms of speed, there are also concerns associated with pushing data and computing power into orbit. In 2018, Capitol Technology University published an analysis of many unique threats to satellite operations, including geomagnetic storms that cripple electronics, space dust that turns to hot plasma when it reaches the spacecraft, and collisions with other objects in a similar orbit.
The concept of space-based data centers is intriguing, but for the time being-and until many problems are worked out-data centers will continue to dot the terrain and the ocean floor.
The future of training is βvirtualβ
What sounds like the cutting edge of science fiction is no fantasy; it is happening right now as you read this article
Imagine getting trained in a piece of equipment that is part of a critical production pipeline. What if you can get trained while you are in your living room? Sounds fantastic, eh. Well, I am not talking about e-learning or video-based training. Rather what if the machine is virtually in your living room while you walk around it and get familiar with its features? What if you can interact with it and operate it while being immersed in a virtual replica of the entire production facility? Yes, what sounds like the cutting edge of science fiction is no fantasy; it is happening right now as you read this article.
Ever heard of the terms βAugmented Realityβ or βVirtual Realityβ? Welcome to the world of βExtended Realityβ. What may seem like science fiction is in reality a science fact.Β Here we will try to explain how these technologies help in transforming the learning experience for you.
Letβs get to the aforementioned example. There was this requirement from a major pharmaceutical company where they wanted to train some of their employees on a machine. Simple, isnβt it? But hereβs the catch. That machine was only one of its kind custom-built and that too at a faraway facility. The logistics involved were difficult. What if the operators can be trained remotely? That is whenΒ SifyΒ proposed an Augmented Reality (AR) solution. The operators can learn all about the machine including operating it wherever they are. All they needed was an iPad which was a standard device in the company. The machine simply augments on to their real-world environment and the user can walk around it as if the machine were present in the room. They could virtually operate the machine and even make mistakes that do not affect anything in the real world.

What is the point of learning if the company cannot measure the outcome? But with this technology several metrics can be tracked and analysed to provide feedback at the end of the training. So, what was the outcome of the training at the pharma company? The previous hands-on method took close to one year for the new operators to come up to speed of experienced operators. But even then, new operators took 12 minutes to perform the task that experienced operators do in 5 minutes. The gap was a staggering 7 minutes. But using the augmented reality training protocols, all they needed was one afternoon. New operators came to up speed of experienced operators within no time. This means not only can more products reach deserving patients but also significantly reduces a lot of expenditure for the company. And for the user, all they need is a smartphone or a tablet that they already have. This is an amazingly effective training solution. Users can also be trained to dismantle and reassemble complex machines without risking their physical safety.
Not only corporates but even schools can also utilise this technology for effective teaching. Imagine if the student points her tablet on the textbook and voila, the books come alive with 3D models of a volcano erupting, or even make history interesting through visual storytelling.

Now imagine another scenario. A company needs their employees to work at over 100 feet high like on a tower in an oil rig or on a high-tension electricity transmission tower. After months of training and when employees go to the actual work site, some of them realize that they cannot work at the height.

They suffer from acrophobia or a fear of heights. They would not know of this unless they really climb to that height. What if the company could test in advance if the person can work in such a setting?

Enter Virtual Reality (VR). Using a virtual reality headset that the user can strap on to their head, they are immersed in a realistic environment. They look around and all they see is an abyss. They are instructed to perform some of the tasks that they will be doing at the work site. This is a safe way to gauge if the user suffers from acrophobia. Since VR is totally immersive, users will forget that they are safely standing on the floor and might get nervous or fail to do the tasks. This enables the company to identify people who fear heights earlier and assign them to a different task.
Any risky work environment can be virtually re-created for the training. This helps the employees get trained without any harm and it gives them confidence when they go to the actual work location.
VR requires a special headset and controllers for the user to experience it. A lot of different headsets with varying capabilities are already available for the common user. Some of these are not expensive too.
A multitude of metrics can be tracked and stored on xAPI based learning management systems (LMS). Analytics data can be used by the admin or the supervisor to gauge how the employee has fared in the training. That helps them determine the learning outcome and ROI (return on investment) on the training.
Training is changing fast and more effective using these new age technologies. A lot of collaborative learning can happen in the virtual reality space when multiple users can log on to the same training at the same time to learn a task. These immersive methods help the learner retain most of what they learnt when compared to other methods of training.
Well, the future is already here!
18th Annual CIO&LEADER Conference CIO&2020
A forum to deliberate on future roadmap of the IT landscape
Sify was the Premier Partner at the Mega Leadership forum CIO@ 2020 conceptualized by 9.9 Media where 100 plus CIOs came together to discuss and deliberate on future roadmap of the IT landscape. Sify leveraged multiple engagement opportunities at the forum to showcase itself as an end-to-end ICT solutions provider and its expertise across industries.
The forum included the following sessionsβ¦
Transformation 2020- An ICT Perspective
Sify shared valuable insights on the CIOs role for agenda 2020 and key drivers for technology adoption. Sify’s Industry focused expertise, leveraging digital technologies and alliances strategies on an outcome base business model will be essential.
CIO Cocktail 2020- Fusion for Transformation
The panel comprised of esteemed CIOs who discussed upon key technology ingredients required for enterprises to be future ready.
Digitization of Industries
The Ideas Cafe deliberation revolved around pain points and challenges of CIOs with respect to their industry and how Sify can be a relevant ICT solutions provider in this journey.
Digital Workplace
The workshop delved into βTransforming the enterprise into a digital workplace: challenges, benefits and impact.β Leveraging enterprise collaboration solutions across devices, technologies, channels and locations leading to true unified communications.
Manufacturing 4.0
Discussion revolved around what are the strategic, business and economic imperatives for Industry 4.0, the key enablers and best practices for digital transformation in Manufacturing.
Tech Stack Agenda 2020
Agenda 2020 Tech Stack, enabled a set of actionable priorities for Indian CIOs, keeping in mind multiple vectors that could influence the strategic priorities before Indian businesses – technology trends, business environment, macro-economic changes in India and around the world.
Venue
The Ananta, Udaipur
Date
4th August 2017 – 6th August 2017
Organizers
9dot9 media





Cloud Transformation with Agility, Flexibility & Choices
SPEAKERS:
Kamal Nath, CEO, Sify Technologies
Ravi Maguluri, CTO β Cloud & Managed Services, Sify Technologies
DATE:
September 9, 2020 | 6.00 PM
DESCRIPTION:
The constraints on conducting business amidst the lockdowns have driven organizations to use technology for immediate cost reductions even as they continue to grapple with the usual budget contenders for tactical and medium term to strategic and long-term objectives.
The need of the hour for enterprise technology leaders is to adopt scalable and flexible IT infrastructures that can be consumed on demand to ease their capex cost and cash flow. Cloud has become even more relevant than ever for IT leaders to achieve their twin objectives of Digital Optimization during their recovery phase and Digital Transformation to be ready for the return of growth. These objectives are best achieved by means of Agility, Flexibility and Choices offered by Sifyβs Cloud@Core products and services.
Where do we start? And what to do next? In your pursuit of cloud adoption, there are many decisions that need to be made with respect to the architecture to be devised, process to be followed, the selection of technologies and services necessary.
To enable IT decision makers in maximizing cloud by throwing light on its various business-technology aspects, ETCIO and Sify are organizing a topical webinar.
M2M is shifting to M2M
The final eulogy to βMan is the Master of the Machineβ has been written.
In the movie Terminator 3, the sequel delves into the takeover of earth by machines, until the very end, when the machine itself has a change of heart. However ominous those signs are, what is undeniable is that the age of machines is upon us.
From mere input mongers to making sense of the mountain of data, cataloguing them, analysing them and delivering a seemingly analogues interpretation of it, machines have become the new indispensable smartphone for todayβs Enterprise. Within this paradigm, the original input feeder, the man, is now relegated to building strategies on top of the results that the machine has spewed to him. The shift from Man to Machines, to Machines to Machines is now here to stay.
The component that has built itself into an indispensable position in this entire equation is that of the Data Center. Not the legacy coLocation versions but the new age, intelligent data player that offers compute, store, analyze, cohabits the Cloud and Applications within itself. One that is intelligent and elastic enough to accommodate the growing data demands of tech-dictated enterprises.
The Data Center, referred rather insipidly to its very reason of its existence, is now a chameleon in the entire IT structure.Β In some cases, it is the eventual residency point for the data. In others, it is starting point of information that has been decoded and awaits a decision. And in between, is the binding agent in an ever-spawning network.
Come to think of it. What if it was removed from the equation? Or perhaps, more benevolently, scaled down to just a rudimentary Data Center. Before we answer that question, hereβs something of an analogy.
Imagine if all your data was not retrievable one not-so-fine morning. Will we see a repeat of the dark ages? Perhaps so. It is therefore not a far-fetched misnomer when Data is referred to as the new economy.
So, what size of data is the world coming to? Hereβs a curtain raiser.
Shantanu Gupta, director of Connected Intelligent Solutions at Intel, introduces the next-generation prefixes for going beyond the yottabyte; brontobyte and gegobyte.
A brontobyte, which isnβt an official SI prefix, but is apparently recognized by some people in the measurement community, is a 1 followed by 27 zeros. Gupta uses it to describe the type of sensor data weβll get from the internet of things. From there, a gegobyte (10 to the power of 30) is just a short distance away.
Now imagine the computational strength required to make sense of this volume. Companies will hence need to have a future-proof strategy in place for collecting, organizing, cleansing, storing, and securing data β and for applying analytics to derive real-time insights to transform their businesses.
A story in Information Management highlights βBig Data Analytics:Β The Currency of the 21st Century Enterprise.β Quite an interesting read. The gist of the argument: Personal data has an economic value that can be bought, sold, and traded.
Emerging technologies are driving transformation within organizations. The year 2019 will see Artificial Intelligence (AI) and Machine Learning (ML) driving change in enterprises. We already see numerous use cases of these emerging technologies in industries such as BFSI, healthcare, telecom, manufacturing, and home automation. These technologies can cull data and get real-time insights about the business and offer timely solutions or corrective action, often without human intervention. AI-backed automation and predictive analytics will help predict challenges that may arise; it will streamline operations, save costs, enhance customer experience, and perform repetitive tasks. While the adoption of ML technologies will lead to exponential growth of enterprise data, the accuracy of outputs is a factor of the sanctity of the input.
That calls for a trustworthy Data Center partner, not only to store the data but also to analyze and manage it. The ideal Data Center partner should do both β cater to current requirements and also adapt to the changing IT landscape.
According to a Frost & Sullivan report, from an APAC standpoint, it said, the Data Center services market will grow at a compound annual growth rate (CAGR) of 14.7% from 2015-2022 to reach US$31.95 billion at the end of 2022. Specifically, the India Data Center market is expected to reach values of approximately $4 billion by 2024, growing at CAGR of around 9% during 2018-2024. Major cities such as Mumbai, Bangalore, and Hyderabad are witnessing high investments of local and international operators in the Indian market. The increasing construction of hyperscale facilities with the power capacity of over 50 MW will fuel the need for innovative infrastructure in the market over the next few years.
A recent study of 500 International Data Centers threw up key insights into what constitutes a well thought out Data Center strategy and one that ticks the right boxes for an Enterprises when selecting a DC partner.

It is therefore evident that the Data Center should be built to solve a business problem β both current and future, should have the flexibility to adapt to changing demands and should be agile enough to accommodate newer dynamics of the business. The paradox in the situation is that as the Data Center grows, the density of the data within it will also expand; all this on hardware that will significantly shrink. Computing power therefore becomes the differentiator and will help negate any push backs that volume will bring up.
It is not lost on DC players that Security is the other differentiator. If this data falls into the wrong hands, it could create havoc, resulting in million dollar loses for corporations. It would impact the credibility of trustworthy institutions, entrusted with sensitive consumer data. Here are two recent incidents.
- In January 2019, the HIV-positive status of 14,200 people in Singapore was leaked online. Details included identification numbers, contact details, and addresses were available in the public domain.
- In December 2018, a cyber-attack exposed the records of 500 million guests of the hotel giant Marriott International. The attack occurred over a period of four years and was traced back to a Chinese spy agency.
The emphasis on security and compliance is even stronger now with the European Unionβs General Data Protection Regulation (GDPR). In fact, GDPR is hailed as one of the most critical pivots in data privacy rules in the past two decades. It is going to fundamentally change how data is handled, stored, and processed.
Given the geographic-agnostic nature of such attacks, it is not lost on Indian IT companies to be wary of an impending attack. The Government-steered Personal Data Protection Bill mandates stringent rules for security, consent of customers, data privacy and data localization. Indian businesses will need to realign their Data Center strategies to comply with this Bill, which could eventually become law. This law will push business leaders to rethink identity and access security, encryption, data systems and application security, cloud security, and DDoS, among other things. And thatβs where machine to machine will score higher. Little wonder that CIOs are in favour of the benefits of automating the whole of atleast a majority of the work chain.
Machine to machine allows for a predictable, systemic patterns, allowing for hyperscale computing, deep-dive analytics, trend spotting, vulnerability recognition and elimination, risk mitigation, even alternate computing, without the vulnerabilities of man to machine directions. The choice therefore in front of the CIO are to go with a service provider who is an SI or an IT architect who has provisioned the entire landscape and hence can implement machine-derived predictable automated results.
Does this mean it is the end of human thinking? Quite to the contrary, it started because of human thinking.
Sify has always taken pride in supporting technology advancements since the launch of its first Enterprise Data Center in 2001 and we invite you to download a copy of Gartnerβs Market Guide that tracks the evolution of Data Center Services Market in India and highlights the wider choice of providers, hosting locations and services.