OVERVIEW
IAGON is a platform for harnessing the storage capacities and processing power of multiple computers
over adecentralizedBlockchaingrid.IAGONutilizesenables tostorebigdata files andrepositories, 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.
INTRODUCTION
The recent development in Artificial Intelligence (AI) and Big Data technologies and the dramatic increase
in adoption of these technologies signify an ongoing and exponentially growing demand to both storage
capacity and for computational processing power vis-à-vis the broader adoption of these technologies.
Big Data technologies such as the Hadoop framework (notably its MongoDB, HDFS and Spark databases )
require vast amounts of storage capacity , either in a centralized or a distributed manner, for processing
and managing Big Data files. To a large extent, Big Data technologies support the exponential growth of
data in any type of organization , within web based services and social networks and their implementation
is essential to support the proper operation and processing of these vast amounts of data (see Fig. 1).
MARKET OUTLOOK OF CLOUD STORAGE SERVICES
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.
MARKET OUTLOOK OF CLOUD COMPUTING SERVICES
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
and similarity between terms, automated translation, face recognition and recommendation systems are
some of the applications of AI.
IAGON’S AI-BASED COMPUTATIONAL PROCESSES
Just like a human brain, AI and machine learning algorithms require inputs of data to deduce an inference.
Data mining is the computing process of discovering patterns in large data sets and helps reduce large sets
of data structures to allow machine learning algorithms to make decisions and inferences. Consequently, as
organizations and companies accumulate large datasets as a part of their day-to-day operations virtually on
every aspect of their performance , suppliers and clients , they seek new ways to apply AI and machine
learning methods to derive new managerial insights from the data on a continuous basis.
IAGON’S MULTIPLE BLOCKCHAIN SUPPORT
IAGON aim at providing its users and miners complete flexibility and freedom of choice in providing and
consuming decentralized cloud services . Hence, IAGON will provide a multiple Blockchain solution.
running its cloud storage and processing operations both on the Ethereum Blockchain and on Tangle.
IAGON’S SECURE LAKE TECHNOLOGY
The Big Data market is characterized by the recent adoption of Data Lake architectures, such as information
systems that are based on the Hadoop framework, by large companies. The Data Lake architecture is
based on implementation of a NoSQL central database (such as MongoDB, HBase or Cassandra) in which
files of any sort can be stored and be retrieved from.Companies can virtually define a central depository for
theirinformation and data files that does not depend on the contents oron the file types and provides a user
-friendly and accessible source for allthe files managed either in SMEs, middle sized companies orlarge
corporations.
IAGON’S SMART COMPUTING GRID PLATFORM
AND AI-TRACKER TECHNOLOGY
The increasing demand for processing poweris evident for example by the growing sales ofNVIDIA systems for
Machine Learning andDeep Learning operations , aswell as other advanced operations ofArtificial Intelligence
that require vast volumes of computing and processing capabilities . The technology domain of AI based
innovations thatrequire large capacities ofprocessing power(mostly supplied by batteries of serverswith large
amount of CPUs and GPUs) include face recognition , video processing , voice analysis ,text analysis , pattern
recognition in Big Data databases and digital document repositories , autonomous cars, IoT based decision
support systems and many more.
CASE STUDY
IAGON intends to bring decentralization into mainstream businesses and consumer markets. In order to
achieve this, IAGON was designed and built to integrate seamlessly into existing IT infrastructure without
the need for expensive resources to deploy.
REGULATIONS
The introduction of Regulation EU 2016 /679 to replace Directive 95/46/EC, introduced more stringent
regulations in regards to data processing and mining of data of personal records. The regulation introduces
certain restriction on the collection and processing of personal data including limitations on the free movement
and sharing of such data (EU, 2016).
ARCHITECTURE
The architecture of IAGON’s platform can be broken down into three unique sections . The sections are the
machine learning algorithm , the Blockchain and miners , and the encryption /decryption protocol . When a
request is sent to IAGON, the machine learning algorithm sends blocks of data over to the miners to process
and find for matching signatures . These blocks of data are then sent back to be validated over the block -
chain along with an output which the machine learning algorithm will use to identify a node. It will be impossible
to identify a node without processing the data in multiple blocks and to identify a correlation thus this
provides a level of anonymity and privacy to the users utilizing IAGON’s platform. Individual miners will not be
able to identify a certain request or node unless they have access to enough blocks. Blocks are distributed
evenly to miners by utilizing proof of variance and does not store any of the data within their local systems .
This allows data to be process anonymously without being able to identify any single node individually ex- cept
through the machine learning algorithm .
DATA MINING
IAGON takes a very different approach towards data mining. IAGON does this by utilizing a private
Blockchain with public network protocols over API networks. A miner does not need to store any of the data
in order to mine, the miner’s sole duty is to honestly process the data and send the output back to IAGON’s
machine learning algorithm for analysis.
Data mining on IAGON ’s platform does not have the need to perform complex algorithm to solve an
equation. Instead, IAGON uses the decentralized computing network to distribute load and increase speed
for mundane data processing tasks . Block tasks are distributed to miners using the proof of variance
method.
BLOCKCHAIN
IAGON leverages the Blockchain technology to maintain honesty of nodes across IAGON distributed data
mining algorithm. The Blockchain uses SHA256 algorithm of previous blocks to maintain a chain link to its
historical state (in this case data).This allows IAGON to incentivize miners on its platform to process data
honestly and to guard against deliberate manipulation of the data output. Using the Blockchain , IAGON’s
machine learning algorithm can quickly identify if a data output mined from a block is actually a valid part of
the block. This can be achieve within the framework of a simple Blockchain similar to that used by ‘Bitcoin’
by hashing the inputs with the hash of the previous block. Genesis block are created internally within the
private blockchain .
THE TANGLE TECHNOLOGY
IAGON will expand its operations to support using itsSmartComputing Grid andSecure Lake technologies on
the Tangle platform , in addition to operating them on the Ethereum Blockchain . The Tangle technology is
based on application of a directed acyclic graph (DAG). Mathematically ,the Tangle generates a stochastic
process on the space of Directed Acyclic Graphs (DAGs)that“grows” in time by attaching new vertices to the
graph according to a Poissonian clock.
TOKEN SALE AND OPERATIONS
The IAGON Pre-sale begins on April 2nd, 12 pm WEST.
The Pre-sale offers 20% of the tokens at a price of :
- 0.07 USD per IAG token for first 100 million tokens;
- 0.10 USD per token for next 100 million tokens.
Purchases can be made in ETH.Pre-sale will be done solely through Dragonchain , and only holders of Dragon
tokens canparticipateinit.Pleasevisitthe Dragonchainwebsiteformoreinformation-dragonchain.com.
The IAGON crowdsale (Token Sale) begins May 10th. Token Sale lasts for 30- 60
days, depending on sale. In
addition to thePre-sale,the crowdsale offers 50% ofthe IAGONtokens to the public (offering in total 500,000,
000tokens) accordingtothefollowingrates:
-
0.12 USD per all 500 million tokens
Total amount of IAG tokens for two phases: 700,000,000 tokens.
Other 30% of the tokens (max. 300,000,000 tokens) will be dedicated to: 10% for IAGON’s team; 10% for
advisors and bounty hunters; 10% for development.
IAGON’s team works hard to support the reputation of IAGON as the leading platform for storage and
processing services, enhancing its adoption among users that allocate their computational resources and
among potential customers.
The development of the IAGON platform and miner’s client software will continue immediately after the
completion of the Token Sale . The introduction of the beta version of the platform and the client are
expectedbyQ42018.
PURCHASING TOKENS VIA FIAT MONEY TRANSFERS
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 curriences to ETH on site, before purchase)
Please follow the detailed instructions forToken Sale fiat money transfers on our website.
LINK MORE INFORMATION :
AUTHOR-
PUTRA969695
