Ways to Prevent Computer Failure

Today, the use of computer systems is essential and important for organizations or companies that operate and implement business in all areas, including customer service, marketing and sales activities, customer relationship management, and financial statement preparation. The use of computer systems is becoming more common and widely used by organizations around the world to protect and organize organizations, securely store system data, and ensure smooth operation of the organization I will.

Current data transfer services rely heavily on cloud-based computing, so there is a risk of a single point of failure, which places a large amount of computing load on service providers and clients. Assigning computing power between edge devices distributes the load and prevents a single point of failure. At the same time, the dissemination of distributed block chain encryption currency bitcoin and Ethereum proves that the future of information is in the distributed and immutable transaction ledger. Traditionally, we rely on trustworthy services to send and store data, but the cloud is not transparent about what happens to the data. On untrusted fog systems, on the other hand, trust is not necessary as each transaction can be publicly proved via the public transaction ledger.

This idea allows you to record transactions on a computer network in distributed fashion, using cryptographic protection to prevent someone changing it. It is a highly distributed way to store immutable states. The entire transaction block is shared among all participating nodes on the network.

Block chain records are downloaded to thousands of participating networks around the world. These computers constantly synchronize or update the records of new transactions. Because of this extensive data distribution, data storage is extremely powerful and an attacker can not identify a single failed site. To delete block chains, you need to destroy thousands of computers on systems around the world. In summary, the data is not a centralized site, it is downloaded and stored in logs that are continuously synchronized on thousands of nodes. The new data is locked to the log block. The log block is connected by an encrypted hash pointer and refers to the previous and subsequent transactions on the growing "transaction chain".