Brief history

One of the dates for the most remembered cloud services was the first quarter of the year in 2017 when a cloud showed its grayer side, in this case, it was the Amazon Web Services (AWS) cloud. According to them, due to a typo error of one of its members in one of the subsystems, S3 (Simple Storage Service) caused a chain blackout of the servers. What resulted in the crash of more than hundreds of thousands of web pages and mobile applications and a large loss estimated at 300 Million Dollars, indeed the reputation of the security and privacy of cloud services got to the bottom.

For situations like these, it is worth reflecting on the possible solutions before the problems generated by human incompetence and by the centralization of information. One of the major drawbacks and risks of managing data through a centralized database is that if there are failures that do not allow users to access their stored files, it could be the end of the company.

Currently the market is completely centralized and dominated by four companies (AWS, Google Cloud, IBM and Microsoft Azure). They control the prices of services, and investing in large storage and data processing centers, they make sure to hinder the new interested companies to compete in this market and moreover to establish very high price levels for consumers. Practically they force the users to live with the anguish that they can lose their valuable and private information in case of errors in the system. Both small companies (PYMES) and larger companies are aware of the fragility they have in the protection, storage, and privacy of their users' data.

Common failures in the cloud

There are two types of failures in the cloud, which deteriorate the technical performance of the system. The first failure is blocking (more commons) called "blackouts", for example when uploading a file to the cloud and not being able to access it is due to a problem writing to the folder. The second failure is due to services that are temporarily disabled because they have a lower degree of performance. For example, losses or leakage of the CPU cause a low performance of the server, and therefore it iss unable to carry on the tasks that must be performed.

Current growth in Big Data and computing capabilities with AI

Processes such as the recognition of images, videos, texts, computation patterns, automatic translations and analysis of unknown future events involve a super capacity of calculation or processing. If we add to this the expected growth of the Big Data and the capabilities of the AI, it is tangible that sooner or later support the IoT or Industry 4.0 will be impossible unless the necessary adjustments are made in these technologies.

No doubt the market for AI (Artificial Intelligence) applications will grow in the coming years, so using this technology will require a powerful level of computing year after year. Currently, companies have two possibilities. The first possibility is to hire suppliers such as AWS, Google Cloud, Microsoft Azure and IBM, and the second possibility is buying a large number of GPU and CPU units.What do you imagine is the preferred option for the public?

Due to the constant increase in digital platforms companies, every day more data is accumulated as a normal part of many companies daily operations. So, if companies want to improve the tools of their systems using AI to analyze the immense amount of data they process, they must overcome their computing power day after day, so many companies take commercial cloud services as an option. This implies that the data files (confidential and with commercial value) will be loaded into a cloud that is not their own, this generates that many companies avoid opting for this option, therefore they will never take advantage of the enormous potential of analyzing their Big Data with the advanced one's Artificial Intelligence methods.

Thus the development of the market in commercial services of the cloud in the storage and computational processing of data, is irreversible. This will continue in full swing, estimated at 45 billion dollars per year.

Who will revolutionize the cloud and solve these difficulties?

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What is IAGON ?

Look up and you will see the new platform, IAGON has come to revolutionize the market of web services in the cloud, offering services of storage and data processing. Being a decentralized Open Source Blockchain platform. IAGON is able to gather all the storage and processing space that is not used in the servers and personal computers, generating an immense computer with sufficient computing and storage power, which makes it competitive to the current web services and moguls on the cloud. Coming together is a beginning; keeping together is progress; working together is success.

Technical data Open Source

The Open Source platform of IAGON is divided into three aspects: machine learning algorithms, Blockchain-Miners, and encryption/decryption protocol.

It should be noted that the encryption/decryption protocol is used for internally stored data. All data stored on the IAGON platform is encrypted to some extent to protect the data in case of non-compliance. The operation of the IAGON Open Source architecture can be summarized as follows:

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Machine learning algorithms send data blocks to the miners to process and find equal signatures, then these data blocks are sent back to the Blockchain together with a value (output) of the machine learning algorithms to be validated and be able to identify a node. In this way, a node cannot be identified without first verifying the data in multiple blocks and drawing a correlation.

Undoubtedly IAGON's machine learning algorithms is one of the most outstanding aspects, because it can quickly identify if a data output extracted from a block is actually a valid part of the block, this is done in a similar way to what it does Bitcoin by hashing (relates the entries with the hash of the previous block). The blocks will be distributed uniformly to the miners without storing the data within their local systems, the mining algorithm used is the SHA256, this guarantees the security of the data, since they will be processed anonymously, it would not be ideal for miners spend the three graces of life (time, energy and money) to process or save (or steal) data from a node, since it is more profitable to perform data processing in the fastest way to earn rewards. The miner will not need to store any data to mine. The only duty of the miner is to honestly process the data and send them back to IAGON for analysis.

Intelligence Artificial and Computing Services

What is AI?

Artificial Intelligence is a set of advanced computational models and processes inspired by the research of the human brain. In order to make a more accurate decision every time, the AI algorithms need an extensive amount of data (and at the same time a powerful calculation level) to prove the best way and thus have more probability of which chosen path is the best solution of the posed problem. In the end it is possible to create a "neural link" that represents the best path that can be followed, however, this output will depend on the relationship between the amount of data and the time in which they can be processed.


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In addition, the IAGON AI learns more and more over time, with a method called "reinforcement learning", which is why IAGON undergoes an active process where the best decision making is optimized.

IAGON Machine Learning Algorithms

The Machine learning algorithms of IAGON uses a supervised semi-learning method, with which it processes and distributes the data depending on the task to be carried out.
IAGON distributes the processing load in the network using Machine learning algorithms and encrypting/decrypting the data that flows through your system. IAGON can provide solutions to several cases:

Secure storage over centralized, clustered or decentralized networks, distribute data processing load across its network of data miners for data analytics, provide a secure solution for creating smart contracts over the Blockchain, or serve to identify honestly and to attack nodes within a system.

IAGON from inside

The super brain of IAGON is AI-Tracker which has more than 100 algorithms that make up this network of computational intelligence. AI-Tracker optimally performs the allocation and transmission of segments of encrypted files to designated storage spaces, as well as identifies the dishonest nodes that should be blocked and removed from the network.

Storage Servicies and BlockChain

BlockChain- DAG

IAGON uses Blockchain technology, which is

simply blocks of data hashed together and chained using previous hashes and its current block to maintain consistency across the chain

The Blockchain technology provides a unique and secure solution, which generates integrity and consistency in the management of your data. Thus, with IAGON being a decentralized storage network, the nodes store part or all of the data in a chain of blocks.

However, two of the great problems that a decentralized network faces is to be able to provide trust and privacy. Since most of these decentralized networks cannot guarantee the recovery of lost data in the event that the "hosting node" suffers from hardware crashes or that the malicious nodes try to configure the files to achieve hacking the recipient's files.

The current Big Data market is based on the architecture of Data Lake, which is defined as a large storage reservoir that contains an immense amount of data that remains in the lake until it is necessary to use it. The great disadvantage of this architecture is that if some individual manages to hack it, it will be able to navigate in the lake of information.

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In the face of such a threat and the financial risk that this can be achieved, IAGON implements Secure Lake, which has an unbreakable encryption technology, which divides and stores the original data into segments of smaller information unit files. With IAGON's Secure Lake, the only one that can access the files is the user (your password) that loads the data, since it can encrypt any type of files and database of any size, also ensuring the recovery and update almost snapshot of each stored file.

Versatility and Flexibility

IAGON can be configured to integrate with existing BlockChains and also use its mining resources for data processing. What makes IAGON unique is the fact that it can be seamlessly integrated with the current database architecture, including SQL, NoSQL, Big Data Databases, Private Blockchain, Hyperledger or any public Blockchain or decentralized network.

IAGON provides flexibility and freedom to the users and miners, since they have multiple alternatives to store and process their information, they can choose to use Ethereum BlockChain or Tangle, which is an application of an acyclic graph directed "DAG" where the problems of Scalability of the BlockChain, guaranteeing growth in unison of Big Data and AI. Additionally, users and miners can pay and receive IAGON tokens for services in the cloud and as if it were not enough to have access to the advantages offered by the market in the latest technology. Thanks to the function (variance test) Implemented by IAGON , the miners are placed in a pool depended on their performance and contribution to the network they have the possibility of increasing their assets.

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CONCLUSIONS

IAGON has the vision of creating a Global Supercomputer, driven by Artificial Intelligence and Blockchain Technology, through the union of all intelligent devices.

IAGON was designed with the decentralization of the main companies and consumer markets in mind. IAGON is able to integrate IT infrastructures (Information Technology) investing inexpensive resources.

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IAGON shields and shields its users from all sides, since to guarantee the safety of users and following the regulations for data processing, it uses geolocation algorithms that identify the user's source and the destination where the data arrives. In addition to encrypt and segment all data, to identify an individual with personal data is virtually impossible. IAGON works as a security layer so that the source and destination management to communicate and send their data without the security, reliability, and trust problems existing until now.

With the IAGON intelligent networks we all win since customers have the possibility to choose which of the multiple existing companies to connect to. In addition, these companies will be able to satisfy the required processing and storage demand requested by the client, while benefiting the miners who place their servers and computers at their disposal when they are not using it.