Blockchain Startup MultiVAC Launches Testnet Of Fully-Sharded Blockchain Platform

Announcements, Blockchain, Innovation | March 4, 2019 By:

Public blockchain MultiVAC has formally launched the first testnet of its “fully-sharded” blockchain platform.

Dubbed “Phoenix,” the testnet was born out of the MultiVAC all-dimensional sharding yellow paper released in September 2018.

Sharding is a concept that’s widely used in databases, to make them more efficient. A shard is a horizontal portion of a database, with each shard stored in a separate server instance. This spreads the load and makes the database more efficient. Vitalik Buterin, the founder of ethereum, recently said publicly that “Sharding is coming” and planned to fulfill Etherum’s sharding upgrading in 2020.

According to MultiVAC, Phoenix is already developed with core modules, including shard generating and splitting, Byzantine consensus family, storage nodes, and simple communication mechanism. It is also equipped with an all-dimensional sharded base-layer in terms of computation, storage, and transmission. Users can view transaction and the block generating process via the blockchain browser.

In its announcement, MultiVAC said that its testnet’s average block generating time is approximately 8 to 10 seconds. In comparison, ethereum takes 15 seconds and bitcoin, 10 minutes. In last year’s lab testing, MultiVAC said that it reached at a peak of 30,784 TPS in a network comprised of 64 shards and 12,800 nodes. The company has also built an innovative distributed storage and cross-shard transmission mechanism, which helps solve the bookkeeping storage and bandwidth overloading issues when the network expands.

“The main challenges for sharding technology lie in, firstly, how to maintain the security of single shard as whole-network level, and secondly how to resolve the overload in storage and transmission when the blockchain net grows day by day,” said MultiVAC CTO Shawn Ying. “Most of the existing sharding solutions only achieved sharding the miners but haven’t addressed the bottleneck of data-keeping scale and communication costs.”