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Going beyond the blockchain with direct acyclical graphs (DAG)

Guest post by Jans Aasman from Franz

Jans is Franz's managing director.

If organizations could increase the strengths of blockchain – immutability, security and decentralization – while addressing latency and scalability problems, it could become the boasted business tool to which it was initially intended. The courtesy of Directed Acyclic Graphs (DAGs) will soon arrive that day.

Blockchain's premise is simple, utilitarian and more lucrative than any other new technology to emerge recently. This distributed registry system promises almost real-time updates of transactions between remote parties for reliable and impervious peer-to-peer networks, eliminating the need (and expense) of intermediaries.

Unfortunately, realize that the promise proved to be very difficult, especially in the world of cryptocurrency in which blockchain struggled with scale problems. Because of its linear nature, the bigger it becomes a blockchain, the more time it takes to validate the transactions. Considerable cryptocurrencies have experienced excessive delays in the verification of transactions, resulting in cumbersome commissions and deflated expectations.

That day will soon be courtesy of Diretti Acrylic Graphics (DAG). Their non-linear approach ensures that the larger their networks grow, the faster they validate the transactions.

Moreover, equipping them with triple-attribute authorizations and uniform semantic standards, they become even more reliable and interoperable globally. By confining their resources on private networks, it makes them the most capable platform smart contracts and instant and distributed transactions between partners.

What are the DAGs?

The cardinal medium with which acyclic semantic charts correct the latency of the blockchain is accelerating the validation process. Blockchain requires each of its previous transactions to validate new transactions. Furthermore, this process does not begin for a transaction until it is complete.

New transactions in acyclic charts require validation from only two other transactions to ensure the trust of the first to the current one. Therefore, the implementation of semantic acyclic multimaster database databases allows parties in decentralized locations to easily verify transactions in which the latter contain the entire history of all parts.

These decentralized databases are synchronized together to describe all aspects of an intelligent contract, for example, or the history of transactions between network participants, including the last transaction.

Since they are widely perceived as acyclic in nature, semantic charts are constructed for these use cases. Furthermore, distributing them in decentralized networks between known partners (such as supply chain or company networks) IoT implementations), are not susceptible to a 34% attack in which a party has more than 34% of the computing power of the network and falsifies transactions. By using these charts in private (non-public) settings, parties can readily see any breaches of trust.

Triple-attribute permissions

Triple attribute permissions are another means by which the global acyclic semantic databases outweigh the blockchain. Because the bases of these databases are triples that describe the various transactions or contracts they support, users can manipulate them as needed to enable or prevent access to different parties. Although each part has a copy of the entire history of contracts or transactions, the triple attributes can effectively control the information that each user can see. Access is configurable based on role, contract, type of transaction, use case, or virtually any other factor deemed relevant by an & # 39; organization.

Therefore, even though these multi-master databases are connected worldwide, information viewers can see they are tightly controlled on the basis of policies of a particular organization as dictated by governance or security protocols. The granular nature of these permissions is the key distinction between those and the triplets – the triplets are rooted in the databases, describing every aspect of the data they contain. Use of triple attributes to control access to or transactions smart contracts allows a much more precise and flexible approach to authorizations than other authorization mechanisms.

Semantic standards

The use of semantic standards is another advantage to facilitate decentralized and reliable peer-to-peer networks with DAGs. Initially, the lack of uniform standards of Blockchain was largely considered a warning for adoption. Semantic databases, however, are supported by globally identifiable standards that substantially support the implementation of multi-cyclic multichannel graph databases. The Uniform Resource Identifiers (URI), which consist of a string of characters used to identify a computer resource, are the basis of the semantic standards and are the identifiers of the most populated and interoperable data system: the World Wide Web.

The vertical industry standards typically used in blockchain are replaced by interoperable semantic standards, which can allow users to exchange information between networks (or between Blockchain) as needed. There are also benefits on the source of data for monitoring different data elements or aspects of transactions that are insurmountable with uniform standards. URIs enable partners to readily read product types and descriptions and to contribute to the understanding of their lineage. These benefits are particularly valuable in vertical sectors without international standards.

The DAGs increase the forces of Blockchain

Blockchain is responsible for disclosure distributed master book systems and the creation of fundamental use cases. Multi-master acyclic semantic charts extend this utility by accelerating the validation process while providing granular permissions with triple attributes and interoperability via semantic standards.

The IOTA is perhaps the most remarkable project that exploits the DAGs in the current cryptocurrency space. It is a platform based on DAG for rapid data transactions between devices and for payments between the parties with presumably low rates. Although IOTA is anything but perfect, it is a good example of how DAGs can improve with the blockchain.

Guest post by Jans Aasman from Franz

Franz Inc. is one of the leading innovators in artificial intelligence and a leading provider of semantic database technology with specialist knowledge in the development and implementation of knowledge graph solutions.

Find out more about Franz

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