At early days we have varieties of many blockchain which the may have various deficiency in storages capacities and processing power of computers over a decentralized blockchain the didn't have any rectangular array delivering data at many computer system.collection ,management and storage of companies promoted at any data related to its operations,client and competitors should a need to analyze any of those data ever present itself .
The other major trend is the emergence of Artificial intelligence method that "learn" from data on past operations finding the patterns and business rules and predict future behavior. Artificial intelligence(Al)-base processes consume significant processing power of CPU and GPU processes. The demand for storage and for processing power is expeted to exponentially increase with broadening the induction of AL application if data collection from multiple channel (such as sensors,social networks,data provide and later processing them.Here come a sentimental platform that including its share holders,director,management ,employees and any other personalities affiliated an enhancing a storage capacities and processing power which powerful than a supper computer with a secure data,seeing the ideas of using mining algorithm of linear systems of small or moderate size Gussians elimination is effective and efficient do certain classes of linear light order vectors,by iterating this linear vectors brought about Gauss-seldel method of iteration,interestingly 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 of Big Data and Artificial Intelligence,The Big data is the collection management storage of vast amounts of information obtained from any internal of external sources (such as the company's IT systems,social network sensors and soon).
This utilizes part enable 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 Artificial intelligence(AI) technologies in a user friendly way .
However the size of the cloud services market providing both storage capacities and computational processing capabilities and efficiencies to corporates is estimated by 45 billions USD per annum and it steady grows,the market that dominated by four major player such as AWS,Google could ,Microsoft and IBM,all utilize central and less trusted storage and computation facilities.
IAGon major aim is to revolutionize the cloud and web services market by offering a decentralized grid of storage and processing by joint the unused storage capacity in servers and personal computers and their processing power,we can create a supercomputer 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 censors business computers and personal users and utilizing their free storage capacities and their free storage capacities and their CPU and GPU processors during idle times,doing so,IAGONovercomes the entry barriers imposed by the high level of investments required to compete in this market.
could data storage is based on the delivery of files from local computers and service 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 could storage services and the privacy of users( that is: protecting the files from being accessed by any party other than their owner ) are paramount to subscribing to and implementing any could services.the market of could storage services is composed by a large number of companies that operate and offer data storage programs from small data centersb who caters to the need of individuals and SMEs to large storage facilities of companies (such as Amazon,Google and Microsoft), aming 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 centers,the reliability of centralized data centers the liability of could storage companies in case of cost or incorrectly stored files and the privacy of users are often expressed by experts.Faults associated with technical performance of the cloud emerge from is servers from retrival systems (content distribution neworks,or CDNs) and from clients some are faults are defined as crash fault while others are performance degrading faults.crash faults are the most common cotegory,categorized by service "black outs" ,whereas services that are temporarily disabled or exhibit lower degrees of performance are performance-degrading faults.
Just like human brain ,Al and machine learning algorithms requirements of data to reduce large set of data structures to allow machine learning algorithms to make decisions and inferences.consequently as organizations and companies accumulate large data sets as a part of their day to - day operations virtually on every aspect of their performance ,suppliers and clients ,the seek new ways to apply Am and machine learning mehtods to drive new managerial insights from the data on a continuous basis.
Nonetheless All and machine learning tools for analyzing vast amounts of data require large volumes of computational power that organizations often lack hence requiring them to subscribe to a commercial cloud service and uploading their sensitive data files into another company's servers.Due to the confidential nature of data and its commercial value many companies avoid doing so,hence not benefitting from the potential value of analyzing their database with advanced AI method.
It connects multiple producers to customer
Smart computing Grid fulfils the demand for the necessary resource
It transfers unused resources to customers in need( cpu and GPU processing power and storagre space
It benefits the miners providing processing power and storage space to thegrid without requring efforts whrn their servers and computers are not used by them
IAGON'sPlatform architecture
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