Welcome to CryptoNewsICO,
on this occasion I will discuss IAGON Project. Why am I writing about the IAGON
Project?
Because I am sure you
will need this project in your life very much, this project is very useful for
us all around the world.
Yes please, you guys on
the IAGON project.
IAGON
is an Open Source platform for
harnessing the storage capacities and processing power of multiple computers over a
decentralized Blockchain grid. IAGON utilizes enables to store big data files
and repositories , as well as smaller scales of files, and to carry out complex
computational processes, such as those needed for artificial intelligence and
machine learning operations , within a fully secure and encrypted platform that
integrates blockchain, cryptographic and AI technologies in a user-friendly
way.
The
size of the cloud services market providing both storage capacities and
computational processing capabilities to
companies and to corporates is estimated by 45 billion USD per annum and it
steadily grows. The market is dominated by four major players: AWS, Google
Cloud, Microsoft and IBM, all utilize central and less trusted storage and
computation facilities . Due to their oligopolistic dominance , the four
providers of cloud services set high pricing levels. These providers are also
capable of hampering any competition and preventing new market entrants from
competing with them, due to the broad scale of their operations and their
substantial investments in data centers, servers and storage facilities.
Interestingly,
however, the demand for computational processing capabilities and storage is
expected to dramatically increase in the near future due to two major trends in
the business and computing worlds: Big Data and Artificial Intelligence (AI).
Big Data is the collection, management and storage of vast amounts of
information obtained from any internal of external sources (such as the
company’s IT systems, social networks, sensors and so on). The data management
of companies promotes collection and storage of any data related to its
operations, clients and competitors, should a need to analyze any of these data
ever present it self. The other major trend is the emergence of Artificial
Intelligence methods that “learn” from data on past operations, find patterns
and business rules and predict future behavior. AI-based processes consume
require vast amounts of computations and consume significant processing power
of CPU and GPU processes. T he demand for storage and for processing power is expected
to exponentially increase with broadening the introduction of AI applications
in new areas and with the widespread adoption of data collection from multiple
channels (such as sensors, social networks, data providers, etc.) and later
processing them.
IAGON’s
major aim is to revolutionize the cloud and web services market by offering a
decentralized grid of storage and processing. By joining the unused storage
capacity in servers and personal computers and their processing power, we can
create a super-computer and super data center that can compete with any of the
current cloud computing moguls.
We
aim at providing companies and individuals storage and processing services at a
fraction of the market prices and at a better security level by connecting data
centers, business computers and personal users and utilizing their free storage
capacities and their CPU and GPU processors during idle times. Doing so, IAGON
overcomes the entry barriers imposed by the high level of investments required
to compete in this market.
Our
token-based economy is based on computer, server and data center owners who
join the storage and processing power grids. In return for sharing the
capabilities of their machine , they will be granted IAGON tokens that can be
traded back to fiat money , while any party who wishes to utilize their
capabilities will purchase IAGON tokens to distribute them to the parties that
provide their services to the grid. The storage mechanism will be based on Blockchain encryption
and delivery of encrypted file
fragments to many storage facilities.
Contributors to the grid can publish their skills and free capacity and offer
their service on the basis of their experience , available resources
and storage space and bidding on price. Advanced machine learning and AI
algorithms will assist in recommending prices to parties involved in this
venture and classifying them according to their price levels and assuring
continuity of services and access to all files.
As
more and more companies will recognize the benefits of IAGON’s platforms for
storing files and processing them, the demand will increase and so will be the
demand for the token – the way customers pay grid participants.
IAGON
’s token and platform are proven services with our Ethereum -based Blockchain
beta version , proving the concept of blockchain-based distributed computing
and storage grid. IAGON plans to support also the new and innovative Tangle
technology that provides an alternative, rapid and lower cost solution for
operating the Blockchain technology.
Thus, IAGON will establish
blockchain on Ethereum and implement Tangle technology – providing
the complete flexibility and freedom of choice to our users and miners. Our
Token Sale aims at further developing our platform and the client program that
will be used by any will offer the lowest fees in the cloud industry to
customers who purchase storage capacity and/or processing capabilities, as both
are abundant and can be fully utilized and scaled, inter-connected by our platform.
IAGON
developed and released its beta version (MVP) of its storage grid and the
miner’s application for installation on Windows, Linux and iOS. The storage
grid supports the upload of files, their encryption via SHA256 and the
Blockchain, the distribution of file shards between miners and the secure
retrieval of files stored on multiple nodes by the user.
Cloud
data storage is based on the delivery of files from local computers and servers
into the remote servers and storage facilities that are obscure to the user,
but can be accessed and managed at any time. Thereby, the reliability of cloud
storage services and the privacy of users (i.e. protecting the files from being
accessed by any party other than their owner) are paramount to subscribing to
and implementing any cloud services.
The
market of cloud storage services is composed by a large number of companies
that operate and offer data storage programs, from small data centers who cater
to the needs of individuals and SMEs to large storage facilities of companies
(such as Amazon, Google and Microsoft), aiming at managing their own gigantic
volumes of data, but also offered to external customers. However, since the
first days of cloud storage services and until recently concerns over the
protection of data, the reliability of centralized data centers, the liability
of cloud storage companies in cases of lost or incorrectly stored files and the
privacy of users are often expressed by experts (see for example Hu et al.,
2010; Dai et al., 2017).
Faults
associated with technical performance of the cloud emerge from its servers,
from retrieval systems (Content Distribution Networks, or CDNs) and from
clients. Some are faults are defined as crash faults while others are
performance-degrading faults. Crash faults are the most common category,
categorized by service “blackouts”, whereas services that are temporarily
disabled or exhibit lower degrees of performance are performance-degrading
faults. For example, an incident in which file that were uploaded to the cloud
are not accessible due to writing errors to a folder is a crash fault, while
CPU leaks that cause lower performance of a server (and therefore slower
retrieval of a file) are performance-degrading faults (Wang, 2017). When data
and files are managed through a centralized data centers (or through a series
of them), a wide scale fault, and in particular a crash fault that terminates
the access of users to their stored files, can cause the termination of operations
of companies, organizations and individuals as long as the outage persists. For
example, AWS’ recent outage in March 2017 continued for several hours, causing
damages that are estimated by more than
300 million USD (Sverdlik, 2017).
Artificial
Intelligence is a set of advanced computational models and processes inspired
by research of the human brain. These models and tools operate behind the
scenes of many apps, websites and applications in a seamless way that does not
interfere with the user’s interaction through the UI. For example, web searches
an d similarity between terms, automated translation, face recognition and
recommendation systems are some of the applications of AI.
Artificial
Intelligence is often used to generate better user experience. A simple case of
this would be Google. Google uses advanced machine learning algorithms to
narrow down its search results to provide its users with results closely
matching what the users are looking for. As the algorithm learns and refines
its search definition, users can sometimes notice that search results may vary
from day to day or user by user. Targeted ads often use machine learning
algorithm to propose possible products and advertisement on sale based on the
users search results.
The
market for AI applications is expected to grow substantially in the coming
years. Figure 2 presents some of the expected common uses and the revenues from
their commercialization in the near future. Nonetheless, the widespread
implementation of AI processes requires increasingly powerful computational
facilities, due to the complexity of these operations. Therefore, companies
invest vast amounts in purchasing
GPU
and CPU units that are dedicated to carry out this scope of computations, or
purchase at a great expense processing power from one of the cloud processing
providers (i.e. Amazon Web Services, Google Cloud, Microsoft Azure and IBM).
The
IAGON Pre-sale begins on May 27th, 16:00
CEST and lasts for 30 days. Pre-sale will be done through IAGON website - https://iagon.com.
The
Pre-sale offers 20% of the tokens at a price of:
0.06
USD per IAG token - for contribution >
25 ETH;
0.07
USD per IAG token - for contribution >
10 ETH;
0.08
USD per IAG token - for contribution >
5 ETH;
0.09
USD per IAG token - for contribution > 0.1 ETH;
Purchases
can be made via all ETH, Bank Transfer or debit/card (We also use Changelly as
our API and this allows for us to convert other currencies to ETH on site,
before purchase).
Okay now we are at the
end of the article, my suggestion please you visit the official website,
whitepaper, and their official media below to get more information. Thank you
for visiting my website, see you later.
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