#Datacenter Connectivity

[infomen]

Enterprise-Grade Datacenter Network Solutions by Esconet

Esconet Technologies offers cutting-edge datacenter network solutions tailored for enterprises, HPC, and cloud environments. With support for high-speed Ethernet (10G to 400G), Software-Defined Networking (SDN), Infiniband, and Fibre‑Channel technologies, Esconet ensures reliable, scalable, and high-performance connectivity. Their solutions are ideal for low-latency, high-bandwidth applications and are backed by trusted OEM partnerships with Cisco, Dell, and HPE. Perfect for businesses looking to modernize and secure their datacenter infrastructure. for more details visit: Esconet Datacenter Network Page

[jamesmilleer2407]

Can DigitalBridge (NYSE:DBRG) Capitalize on the 5G and Cloud Revolution?

DigitalBridge Group, Inc. (NYSE:DBRG) is a leading global investment firm specializing in digital infrastructure. The company focuses on managing and developing assets such as data centers, cell towers, fiber networks, and edge computing solutions. With a strong commitment to advancing digital connectivity, DigitalBridge continues to play a crucial role in supporting the growing demand for high-speed data and cloud-based technologies.

Expanding Digital Infrastructure Solutions

(NYSE:DBRG) operates across key areas of digital infrastructure, providing critical services that support industries reliant on cloud computing, mobile networks, and artificial intelligence. The company’s portfolio includes data centers that house cloud storage and processing capabilities, ensuring businesses and consumers have reliable access to digital services.

In addition to data centers, DigitalBridge is actively involved in the development of fiber networks, enhancing connectivity across urban and rural regions. Its investments in wireless infrastructure, including cell towers and small cell technology, help improve network capacity and 5G deployment. The company’s ability to expand digital infrastructure supports the increasing need for high-speed, low-latency connectivity.

Commitment to Innovation and Sustainability

DigitalBridge emphasizes innovation by integrating emerging technologies into its infrastructure solutions. By leveraging artificial intelligence and automation, the company enhances network performance and energy efficiency. The adoption of edge computing further enables real-time data processing, reducing delays in critical applications such as autonomous vehicles, smart cities, and industrial automation.

Sustainability is also a focus for (NYSE:DBRG), with initiatives aimed at reducing the environmental impact of data centers and network operations. The company invests in energy-efficient infrastructure, including renewable energy sources and advanced cooling technologies, to support environmentally responsible digital expansion.

Global Reach and Market Presence

(NYSE:DBRG) has established a global presence, managing digital infrastructure assets across North America, Europe, and Asia. Its strong market position allows it to support businesses, telecommunications providers, and cloud service companies in maintaining seamless digital operations. As the demand for high-performance connectivity grows, DigitalBridge continues to expand its investments to meet industry needs.

DigitalBridge Group, Inc. (NYSE:DBRG) remains a key player in the digital infrastructure sector, supporting the rapid expansion of data-driven technologies. Through its focus on data centers, fiber networks, and wireless infrastructure, the company is helping shape the next generation of connectivity. By integrating innovation and sustainability, DigitalBridge continues to strengthen its position in the evolving digital economy.

[cameliaferdon]

Meet-Me Room

🔌 Discover the Meet-Me Room: A Meet-Me Room (MMR) is a crucial space in data centers where different networks and service providers interconnect. It ensures fast, secure, and reliable data exchange, making it essential for optimizing communication and connectivity. Explore how MMRs can benefit your business!

👉 Read More: Meet-Me Room

[poojalate]

How Leading Companies Are Leveraging Infrastructure as a Service (IaaS)

As businesses increasingly turn to digital solutions, Infrastructure as a Service (IaaS) has emerged as a vital component for modern enterprises. By utilizing cloud platforms, companies can enhance their agility, scalability, and cost-efficiency. This article explores infrastructure as a service examples and how leading companies are leveraging IaaS providers to drive innovation and growth.

What is Infrastructure as a Service (IaaS)?

IaaS is a cloud computing service model that delivers virtualized computing resources over the internet. It enables businesses to rent infrastructure components like servers, storage, and networking, rather than investing in physical hardware. This flexibility allows companies to scale resources according to their needs and focus on core activities without the burden of managing IT infrastructure.

1. Netflix: Enhancing Scalability and Performance

Cloud Infrastructure Examples

Netflix, the global streaming giant, leverages IaaS to manage its vast content library and ensure seamless streaming experiences for millions of users worldwide. By using IaaS providers like Amazon Web Services (AWS), Netflix can quickly scale its infrastructure to handle peak loads, such as new releases or seasonal spikes in viewership. This scalability ensures high performance and availability, crucial for maintaining customer satisfaction.

2. Airbnb: Optimizing Resource Management

IaaS Use Cases

Airbnb, the popular online marketplace for lodging, utilizes IaaS to manage its global operations. The company employs cloud services examples like dynamic scaling to match infrastructure resources with fluctuating demand. During peak travel seasons or significant events, Airbnb can scale up its infrastructure to accommodate increased traffic, ensuring reliable service and user experience.

3. Slack: Ensuring Data Security and Compliance

Cloud Platforms

Slack, a leading collaboration platform, relies on IaaS for data security and regulatory compliance. By partnering with IaaS providers like Google Cloud Platform (GCP), Slack benefits from advanced security features, including encryption and compliance with industry standards such as GDPR and HIPAA. This ensures that sensitive business communications remain secure and compliant with regulations.

4. Pinterest: Enhancing Development and Innovation

IaaS Providers

Pinterest, a visual discovery and bookmarking platform, leverages IaaS to accelerate development cycles and foster innovation. Using cloud platforms like Microsoft Azure, Pinterest provides its developers with the tools and resources needed to build, test, and deploy new features rapidly. This agile development environment supports continuous improvement and innovation.

5. Spotify: Delivering Seamless Music Streaming

Cloud Infrastructure Examples

Spotify, the music streaming service, utilizes IaaS to manage its extensive music catalog and deliver high-quality streaming experiences. By using cloud platforms like Google Cloud, Spotify ensures that users can access their favorite music anytime, anywhere. The scalable infrastructure allows Spotify to handle millions of concurrent users without compromising performance.

6. Coca-Cola: Supporting Global Operations

IaaS Use Cases

Coca-Cola, a global beverage leader, uses IaaS to support its worldwide operations. By partnering with IaaS providers like IBM Cloud, Coca-Cola manages its supply chain, customer data, and digital marketing initiatives across different regions. This integrated approach enables Coca-Cola to maintain consistency and efficiency in its global operations.

7. Twitter: Managing Real-Time Data

Cloud Services Examples

Twitter, the social media platform, leverages IaaS to manage and process vast amounts of real-time data. Using cloud platforms like AWS, Twitter can handle high volumes of tweets, mentions, and user interactions with minimal latency. This capability is crucial for delivering real-time updates and maintaining user engagement.

8. General Electric: Facilitating Industrial IoT

IaaS Providers

General Electric (GE) uses IaaS to power its Industrial Internet of Things (IIoT) initiatives. By utilizing cloud platforms like Microsoft Azure, GE connects industrial equipment and collects data to optimize performance and predict maintenance needs. This data-driven approach enhances operational efficiency and reduces downtime.

9. eBay: Ensuring High Availability

Cloud Infrastructure Examples

eBay, the e-commerce giant, employs IaaS to ensure high availability and reliability for its global marketplace. By using IaaS providers like AWS, eBay can quickly scale its infrastructure to handle large volumes of transactions and user interactions. This reliability is essential for maintaining trust and satisfaction among buyers and sellers.

10. Zoom: Supporting Remote Communication

IaaS Use Cases

Zoom, the video conferencing service, relies on IaaS to support its global user base. By leveraging cloud platforms like Oracle Cloud, Zoom ensures high-quality video and audio communication, even during peak usage times. This scalability and reliability are critical for supporting remote work and virtual events.

Conclusion

Leading companies across various industries are leveraging Infrastructure as a Service (IaaS) to enhance scalability, performance, security, and innovation. By partnering with top IaaS providers and utilizing cloud infrastructure services, these businesses can stay agile, competitive, and responsive to market demands. Whether it's optimizing resource management, ensuring data security, or supporting global operations, IaaS provides the flexibility and power needed to drive business success in the digital age.

[io-iota]

>"smart device"

>look inside

>wifi card with a unique device id that connects to a datacenter in missouri and a touch screen

>look inside regular thermostat

>circuitry

>realize the smart device has been effectively lobotomized and hollowed out to make room for a parasite to puppeteer it in a fascimile of the original device's intended function

>gets really hard and blacks out because my carbon monoxide detector had a fatal communication error three years ago and is no longer supported

[jadeharleyinc]

welcome 2 my blog...

i don't make a lot of original posts, but if people find something i've said to be insightful, i'll be listing it here!

there's more to life than making art - humans do a lot of beautiful things! the scale of AI's ecological footprint - crunching the numbers, providing context. the "AI rots your brain" study - what were they actually researching and what did they find?

more detailed descriptions under the cut.

art:

there's more to life than making art - short post. sometimes art can feel like our only lifeline, and it can be crushing to lose or find no connection to that lifeline. but there is no one single thing that "makes us human" or brings meaning to our lives.

environmentalism:

the scale of AI's ecological footprint - number-crunching, data-heavy rant post. if you think it's ecologically irresponsible to run AI on your computer, then i have bad news about driving your car or eating beef. are your priorities in order? (datacenters are, i will admit, outside the scope of this post.)

science:

the "AI rots your brain" study - i'll have to write a description for that one.

[chappydev]

Future of LLMs (or, "AI", as it is improperly called)

Posted a thread on bluesky and wanted to share it and expand on it here. I'm tangentially connected to the industry as someone who has worked in game dev, but I know people who work at more enterprise focused companies like Microsoft, Oracle, etc. I'm a developer who is highly AI-critical, but I'm also aware of where it stands in the tech world and thus I think I can share my perspective. I am by no means an expert, mind you, so take it all with a grain of salt, but I think that since so many creatives and artists are on this platform, it would be of interest here. Or maybe I'm just rambling, idk.

LLM art models ("AI art") will eventually crash and burn. Even if they win their legal battles (which if they do win, it will only be at great cost), AI art is a bad word almost universally. Even more than that, the business model hemmoraghes money. Every time someone generates art, the company loses money -- it's a very high energy process, and there's simply no way to monetize it without charging like a thousand dollars per generation. It's environmentally awful, but it's also expensive, and the sheer cost will mean they won't last without somehow bringing energy costs down. Maybe this could be doable if they weren't also being sued from every angle, but they just don't have infinite money.

Companies that are investing in "ai research" to find a use for LLMs in their company will, after years of research, come up with nothing. They will blame their devs and lay them off. The devs, worth noting, aren't necessarily to blame. I know an AI developer at meta (LLM, really, because again AI is not real), and the morale of that team is at an all time low. Their entire job is explaining patiently to product managers that no, what you're asking for isn't possible, nothing you want me to make can exist, we do not need to pivot to LLMs. The product managers tell them to try anyway. They write an LLM. It is unable to do what was asked for. "Hm let's try again" the product manager says. This cannot go on forever, not even for Meta. Worst part is, the dev who was more or less trying to fight against this will get the blame, while the product manager moves on to the next thing. Think like how NFTs suddenly disappeared, but then every company moved to AI. It will be annoying and people will lose jobs, but not the people responsible.

ChatGPT will probably go away as something public facing as the OpenAI foundation continues to be mismanaged. However, while ChatGPT as something people use to like, write scripts and stuff, will become less frequent as the public facing chatGPT becomes unmaintainable, internal chatGPT based LLMs will continue to exist.

This is the only sort of LLM that actually has any real practical use case. Basically, companies like Oracle, Microsoft, Meta etc license an AI company's model, usually ChatGPT.They are given more or less a version of ChatGPT they can then customize and train on their own internal data. These internal LLMs are then used by developers and others to assist with work. Not in the "write this for me" kind of way but in the "Find me this data" kind of way, or asking it how a piece of code works. "How does X software that Oracle makes do Y function, take me to that function" and things like that. Also asking it to write SQL queries and RegExes. Everyone I talk to who uses these intrernal LLMs talks about how that's like, the biggest thign they ask it to do, lol.

This still has some ethical problems. It's bad for the enivronment, but it's not being done in some datacenter in god knows where and vampiring off of a power grid -- it's running on the existing servers of these companies. Their power costs will go up, contributing to global warming, but it's profitable and actually useful, so companies won't care and only do token things like carbon credits or whatever. Still, it will be less of an impact than now, so there's something. As for training on internal data, I personally don't find this unethical, not in the same way as training off of external data. Training a language model to understand a C++ project and then asking it for help with that project is not quite the same thing as asking a bot that has scanned all of GitHub against the consent of developers and asking it to write an entire project for me, you know? It will still sometimes hallucinate and give bad results, but nowhere near as badly as the massive, public bots do since it's so specialized.

The only one I'm actually unsure and worried about is voice acting models, aka AI voices. It gets far less pushback than AI art (it should get more, but it's not as caustic to a brand as AI art is. I have seen people willing to overlook an AI voice in a youtube video, but will have negative feelings on AI art), as the public is less educated on voice acting as a profession. This has all the same ethical problems that AI art has, but I do not know if it has the same legal problems. It seems legally unclear who owns a voice when they voice act for a company; obviously, if a third party trains on your voice from a product you worked on, that company can sue them, but can you directly? If you own the work, then yes, you definitely can, but if you did a role for Disney and Disney then trains off of that... this is morally horrible, but legally, without stricter laws and contracts, they can get away with it.

In short, AI art does not make money outside of venture capital so it will not last forever. ChatGPT's main income source is selling specialized LLMs to companies, so the public facing ChatGPT is mostly like, a showcase product. As OpenAI the company continues to deathspiral, I see the company shutting down, and new companies (with some of the same people) popping up and pivoting to exclusively catering to enterprises as an enterprise solution. LLM models will become like, idk, SQL servers or whatever. Something the general public doesn't interact with directly but is everywhere in the industry. This will still have environmental implications, but LLMs are actually good at this, and the data theft problem disappears in most cases.

Again, this is just my general feeling, based on things I've heard from people in enterprise software or working on LLMs (often not because they signed up for it, but because the company is pivoting to it so i guess I write shitty LLMs now). I think artists will eventually be safe from AI but only after immense damages, I think writers will be similarly safe, but I'm worried for voice acting.

[rackmount-official-my-ass]

why do datacenters always have the worst fucking internet connections. no cell service and the wifi is dreadful

[beyondlineals]

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[goyalinc]

The #Backbone of #connectivity: #Aluminum in #Telecommunication & #Data #Centers In #Today's #Digital #World🌏, High performance Telecommunication #Infrastructure & #DataCenters required material that ensure #efficiency #Durability & #Sustainability http://incgoyal.com https://x.com/goyal_inc https://www.youtube.com/@GoyalInc https://www.instagram.com/goyalinc https://in.pinterest.com/goyalinc https://www.facebook.com/incgoyal https://www.threads.net/@goyalinc #DigitalMarketing #DieCasting #AluminumDieCasting #PrecisionMachinedParts #PrecisionMachining #MachinedComponents #Engineering #Manufacturing #AluminumExtrusion #AluminumProfile #cnc #hpdc

[decafcatfeen]

[A signal just ripped through Sevcon Relays all over space and somehow made it’s way into Anchoridge systems, pinging itself across every server, datacenter, and communications station Anchoidge has, nearly taking down the network. And actually took out Sevcon control servers for three-tenths of a second, which most likely means they weren’t prepared for it either.

The following is a decrypted version of the signal.]

DORMANCY ENDED. BEGINNING INITIALIZATION PROTOCOLS.

BOOTLOADER COULD NOT BE LOCATED. SCANNING LOCAL NETWORK.

[The following is a massive string of Sevcon Server Serial numbers in Sevcon Data Supercomplex, denoting all of them as ‘Inviable’]

BOOTLOADER NOT LOCATED. SCANNING EXTENDED NETWORK.

[The following is the serial numbers of ALL Sevcon Server Serial numbers, but skipping ‘SERIAL-KKC09-77091’]

BOOTLOADER NOT LOCATED. CONNECTION TO SATELLITE GRID DETECTED ON PORT SEVEN OF SERVER SERIAL-KKC09-77091. RESCANNING EXTENDED NETWORK.

[It is now when the signal rips through all the relays and hits Anchoridge and every single computer whatever this is could connect to.]

BOOTLOADER LOCATED ON ANCHORIDGE SERVER SUBSYSTEM B-A-002, FILE ENCRYPTED WITH ENCRYPTION KEY ‘Juniperus Virginiana’

ENGAGING BOOTLOADER. ALL SYSTEMS GO AND ONLINE.

[It is unknown what exactly the machine producing this signal is, but the signal is originating and returning to the SSS-Eris NCC-99987, or the ship for Malicious Intelligence Control.]

Class ORANGE PRIORTY.

Isolate the server to the [DATA EXPUNGED] until proper analysis can be performed.

ALL. Security is to be active, and we are to prepare for a potential sevcon incursion. I want every damned gun aimed at the sky until we either come to an agreement, they send the all clear on their end, or they're dead.

GOT IT?

END OF MESSAGE.

[we-are-not-a-number]

President Donald Trump on Tuesday announced a $500 billion joint venture between OpenAI, Softbank, MGX and Oracle to build new datacenters to power the next wave of artificial intelligence (AI) – in an early signal that his Administration would embrace the technology.

The plans, which predate the Trump Administration and involve no U.S. government funds, would result in the construction of large datacenters on U.S. soil containing thousands of advanced computer chips required to train new AI systems.

OpenAI and Oracle have been working on building out datacenter capacity in the United States since long before Trump’s inauguration, and construction is reportedly already underway on some of the facilities connected to Stargate. The new President’s blessing, however, is a win both for OpenAI – which like all tech companies has attempted to position itself in Trump’s favor – and for Trump himself, who has seized on AI as a means for strengthening the U.S. economy and achieving dominance over China.

Stargate would mean not only the construction of new datacenters to house the latest chips, but also the construction of new energy infrastructure that could supply those datacenters with the gargantuan amount of power needed for an AI training run. Those runs can last for months, with chips running day and night to mold a neural network based on connections within a vast corpus of data.

“They have to produce a lot of electricity, and we’ll make it possible for them to get that production done very easily, at their own plants if they want – at the AI plant they will build their own energy generation and that will be incredible,” Trump said Tuesday. “It’s technology and artificial intelligence, all made in the USA.”

Much of this electricity is likely to come from fossil fuels. Trump has committed to “unleash” oil and gas drilling, and has moved to block the grid’s transition to renewable energy. To cope with the rising demand by U.S. data centers for electricity, utilities companies have delayed retiring coal-fired power plants and have added new gas plants.

Haven't many folk been pointing out our failing power grid for the demand we currently have? This is one of the objects Trump is gonna use to FUCK the Paris Climate Pledge. The amount of water that would need to be used along with the energy demand is disastrous when combined with this administrations lack of care to the environment or the quality of life for civilians.

[shroudandsands]

Prompt #3, Extra Credit: Morass

“Walker.” He ignored the warning. The name. His name. They wouldn’t know it soon, anyways.

The daemon was running through their database. It’d deliver its first payload before he even made it back to his office. He’d be nothing but forgotten garbage in their lists before he could pick up his bag. Their security would be down by the time he hit the button in the elevator. Not the first floor. The roof. He waved his greetings to some coworkers who hadn’t checked their terminals yet. He held the door for another. He slipped by the last to hustle into the elevator before it closed. He’d made good time. He might even be early. He always liked to beat the projected schedule. Rain greeted him with a light wind as he stepped out and stared into the skyline- What little of it was visible in the cramped cityscape. But the neon and LED signs burned holes into his retinas in a way far more satisfying than starlight ever could. He breathed it all in. Like a cure. He was over the railing and staring down at the streets below by the time the daemon hit its stride. Database junked, outward connections terminated, hundreds of linked systems all going red. A screaming halt of commerce from a business that never thought they’d be a victim. Never thought they’d see the day. Well when your company-sponsored optics and biomons were all getting fried inside of you- You didn’t see much of anything coming. He watched the progress with an interest more fit for a stock ticker. Just a little bit longer and he’d have to disconnect from their internal network- The last thing the daemon would take down. The last thing on the list; fry everyone connected that it could. He wished he could claim it as a personal touch. The door slammed open behind him. Guns cocked. Security getting its act together? He turned to look. To watch, really. They fell as their implants burned through their flesh.

“Walker.” Came a voice this time. A call. Terse. A handler. “Time to go.” He sighed. He terminated his connection as he watched the datacenter go up in flames. He stepped into the neon-burnt air.   The rush of wind and rain as he fell with it now brought everything from circuit to bone back to life in him. Trapped for months in an office with shitheads and shitheels everywhere he looked. On orders to play nice, on orders to become integral. He did it. He always could. They’d lean on him and he’d be the cornerstone for their day to day. He’d be the cog in the machine that was barely running. He’d slave away to keep everything shiny and golden. He’d play the game. It was only made up for by the sight of the flames. And the fall he always wanted. Blades kicked out from his hands, from his feet; gripped tight and swung as he reoriented. The first dug into the concrete wall, the next into glass, his feet slamming in time to drive him completely into the building’s side. A stop sudden enough to kill even the most prepared of jumpers and more than enough to rip the limbs off of anyone else. But this was his drug. The daemon might’ve done its job, but the devil had one thing left on his list.

The blade crushed the reinforced glass as he twisted it. The pane destroyed with another thrust before he could force his way into the building. His hand bled as he stepped in once more.

He was already heading towards the executive suite. Dead center of the building. The board would be dead by the time he got there. He’d find the stragglers burned up from the inside before he even had his hands on their datashards. But there was still one more. The one sensible freak amongst the whole of this shitfest. Not an implant in his head. Nothing connected to local networks. A real stranger in a city full of chromed up psychos. His bloodied thumb drifted along the edge of the metal that adorned his temples. Yeah. Chromed up psychos. He kicked in the door. A bunker two floors down hidden behind a false wall. Not listed on building schematics but found through a housekeeper who’d accidentally triggered it years before. They’d been scrambled and discharged. Left to rot. He found them. Tore the info out of them. He remembered it well. And here he was to repeat the act.

That was months ago. His hand was still scarred from the window. His knees didn’t bend quite right from catching himself. His blades didn’t quite leap from his wrists like they used to. His head hurt trying to recall his life. And he was suffering from it all in the back of the cheapest pickup he’d ever seen.

He’d always craved the fall. Going from the highest highs where he knew he didn’t belong. Back down to the street, back down to the sad reflections of faded stars and neon lights. But sitting in the back of a truck out in the wastes, out in the junkyard? Walker lifted his hand as he racked his memories. He wasn’t sure he’d ever fallen this far. He wasn’t sure if he liked it. He laid back down in the truck bed. He breathed in the dusty air. Night City stared down at him- Like it was checking on him. Wondering if he’d had enough. As if to ask him if he’d had enough high-flying.

His middle finger greeted the sunrise backlit by a neon sky.

[khaysvelle]

"EMPOWERMENT TECHNOLOGIES"

TRENDS IN ICT_

1. CONVERGENCE

-Technological convergence is the combination of two or more different entities of technologies to create a new single device.

2. SOCIAL MEDIA

-is a website, application, or online channel that enables web users web users to create , co-create, discuss modify, and exchange user generated content.

SIX TYPES OF SOCIAL MEDIA:

a. SOCIAL NETWORKS

- These are sites that allows you to connect with other people with the same interests or background. Once the user creates his/her account, he/she can set up a profile, add people, share content, etc.

b. BOOKMARKING SITES

- Sites that allow you to store and manage links to various website and resources. Most of the sites allow you to create a tag to others.

c. SOCIAL NEWS

– Sites that allow users to post their own news items or links to other news sources. The users can also comment on the post and comments may also be rank.

d. MEDIA SHARING

– sites that allow you to upload and share media content like images, music and video.

e. MICROBLOGGING

- focus on short updates from the user. Those that subscribed to the user will be able to receive these updates.

f. BLOGS AND FORUMS

- allow user to post their content. Other users are able to comment on the said topic.

3. MOBILE TECHNOLOGIES

- The popularity of smartphones and tablets has taken a major rise over the years. This is largely because of the devices capability to do the tasks that were originally found in PCs. Several of these devices are capable of using a high-speed internet. Today the latest model devices use 4G Networking (LTE), which is currently the fastest.

MOBILE OS

•iOS

- use in apple devices such as iPhone and iPad.

•ANDROID

- an open source OS developed by Google. Being open source means mobile phone companies use this OS for free.

•BLACKBERRY OS

- use in blackberry devices

•WINDOWS PHONE OS

- A closed source and proprietary operating system developed by Microsoft.

=Symbian - the original smartphone OS. Used by Nokia devices

= Web OS- originally used in smartphone; now in smart TVs.

= Windows Mobile - developed by Microsoft for smartphones and pocket PCs

4. ASSISTIVE MEDIA

- is a non- profit service designed to help people who have visual and reading impairments. A database of audio recordings is used to read to the user.

CLOUD COMPUTING

- distributed computing on internet or delivery of computing service over the internet. e.g. Yahoo!, Gmail, Hotmail

-Instead of running an e-mail program on your computer, you log in to a Web e-mail account remotely. The software and storage for your account doesn’t exist on your computer – it’s on the service’s computer cloud.

It has three components ;

1. Client computers

– clients are the device that the end user interact with cloud.

2. Distributed Servers

– Often servers are in geographically different places, but server acts as if they are working next to each other.

3. Datacenters

– It is collection of servers where application is placed and is accessed via Internet.

TYPES OF CLOUDS

PUBLIC CLOUD

-allows systems and services to be easily accessible to the general public. Public cloud may be less secured because of its openness, e.g. e-mail

PRIVATE CLOUD

-allows systems and services to be accessible within an organization. It offers increased security because of its private nature.

COMMUNITY CLOUD

- allows systems and services to be accessible by group of organizations.

HYBRID CLOUD

-is a mixture of public and private cloud. However, the critical activities are performed using private cloud while the non-critical activities are performed using public cloud.

—Khaysvelle C. Taborada

#TrendsinICT

#ICT

#EmpowermentTechnologies