Blockchain storage project Lambda has received investment from several top institutions

Blockchain storage project Lambda has received investment from several top institutions

On July 4th, Lambda, the blockchain infrastructure that provides unlimited storage capacity, once again announced the financing of several top investment institutions including FunCity Capital, Ceyuan Digital Assets, BlockVC, Bluehill, and DATA Foundation. Earlier on June 19th, Lambda announced that it had received tens of millions of RMB financing from Zhen Fund, Metropolis VC, and Dfund..

Focusing on blockchain infrastructure, the Lambda project is favored by many capitals

He Xiaoyang, the founder of the Lambda project, completed the four rounds of financing led by well-known investment institutions such as Matrix China, Chengwei Capital, and Qiming Venture in a year and a half, and created a miracle of fund raising in the enterprise software sector in China. In 2017, He Xiaoyang gradually faded out of OneAPM’s work, began to embark on a new journey of entrepreneurship, began to work in the blockchain infrastructure field, and created the blockchain storage project Lambda. In just two weeks, the Lambda project completed fund raising from a group of well-known investment institutions, and once again staged a “speed reading and passion” in the blockchain era.

Founded in October 2016, FunCity Capital was founded by Chen Weixing, the founder of KuaiDi. It is an asset management company specializing in Internet finance, artificial intelligence, blockchain, and smart transportation. The business covers early VC, PE, public market secondary offering, M&A, and PIPE business. FunCity Capital’s investment portfolios include Binance, 51 Credit Card, and Fang Cloud.

Ceyuan Digital Assets is an investment fund that focuses on early investment in the blockchain industry. It aims to promote technological innovation and invest in quality projects in the development of blockchain ecosystem. The Fund has participated in the development of several well-known projects in the areas of public chains, DAPP, and exchanges, with professional investment judgment and rich industry resources. Ceyuan Ventures is a venture capital firm headquartered in Beijing in 2005, focusing on early investments in the information technology and Internet industries. The company is committed to excellence in entrepreneurial teams, advanced science and technology, and innovative business innovation. Ceyuan Ventures has invested in blockchain since 2013. Early investments include OKCoin, Bitcoin China, and Dfinity.

BlockVC is a leading global blockchain venture capital and advisory research organization that covers the basic public chain, application agreements and financial services in the blockchain ecosystem and provides a full range of post-investment services for selected projects. Its portfolios have global influence. The global investment network covers Singapore, London, Silicon Valley and other places, and has established close strategic partnerships with top projects and institutions in many countries.

Technology-based, decentralized storage services for blockchain ecosystem

Lambda is a high-speed, secure and scalable blockchain infrastructure project. Through the logical decoupling and separate implementation of Lambda Chain and Lambda FS, we provide infinitely scalable data storage capabilities to decentralized applications and achieve data integrity proof, multi-chain data cooperative storage, cross-chain data management, data privacy protection and other services.

On June 29th, Lambda announced that it will jointly launch FLOW, a shared economy public chain alliance, with VV Share, Slife, and FunCity Digital Economy Research Institute, to build a future shared economy chain infrastructure. Lambda will link all affiliate economies (public chains) through the BCP agreement to provide decentralized storage services for the entire ecosystem. Chen Weixing, founder of FunCity Capital and founder of VV Share, said that the Lambda project is one of the few technical teams in China that can provide “data integrity proof”. The technical background of the founding team is very strong and Lambda will play an important role in the whole VV Share ecosystem.

He Xiaoyang, founder of Lambda, said: I believe that only brave people can succeed. I used to be confused, but after entering the field of blockchain, it inspired my second entrepreneurial enthusiasm. We spent ten years on the first startup and have been dealing with distributed systems and distributed storage. In the blockchain era, we still choose to start with the areas we are most familiar with. I believe in the power of accumulation and precipitation, and I believe that time will give us the best recognition. Of course, I am especially grateful to so many investment institutions for their recognition and trust in our Lambda team.

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Oracle Cluster, Distributed Database and Block Chain

The block chain has become more popular and is being accepted by more and more people from the the society, and is gradually becoming a new trend and is changing the future. In this process, block chain technology has also made rapid development which includes smart contract, consensus mechanism, fragmentation and cross-chain and more to come.

As a veteran who has struggled in database field for more than 10 years, the essence of block chain is actually a multi-active distributed database. Many technologies in the block chain have also been used in many applications during the long evolution of the database. In practice, in order to better understand the block chain, I outlined the evolution of the mainstream system architecture over the past decade or so since 2000. We will be divided into three stages to elaborate:

Inthe first phase, the era of Oracle Cluster.

If you want to choose a mature database solution that can support tens of thousands of transactions per second. Engineers will definitely recommend Oracle. The main structures of the system during this period are as follows:

The year 2001 was a special year for Oracle Corporation, in which Oracle released the classic Oracle 9i version of the Oracle database product. In this version of the product, Oracle greatly enhanced the Real Application Cluster (RAC), enabling Oracle to complete the process of converting from a single host node to multiple nodes in a production environment.

The RAC technology effectively solves the bottleneck of the single-node operation of the database in the past, improves the concurrent load capacity and high availability of the database system, and satisfies the urgent need to manage the exponential data growth in the enterprise development process. Therefore, this program has been widely applied to various fields such as operators, banks, securities, etc., of course, including Internet giants such as Alibaba and JD.

With the upgrade of the version, the peak value of Oracle 10G cluster node theory has been expanded to more than 100. But for reasons such as high cost of deploying devices (minicomputers and storage), it is impossible for enterprises to accomplish this level of deployment. From the referenced data its understood that some domestic enterprises have applied clusters of 6–8 nodes in actual business.

Despite the wide range of applications, with the further development of the domestic Internet business, some problems of the Oracle cluster have gradually emerged, which also prompted the emergence of a vigorous “go to IOE” movement in the China.

The first problem: the hardware and software (IOE) required for the architecture is expensive.

As you can see in the schema diagram in Figure 1, Oracle uses a way to share storage among multiple nodes in order to ensure the consistency of transactions, That is to say, the final data is stored on the disk only once, the data can be read and write by multiple nodes. Oracle uses row locks and other technologies to solve the problem of read and write contention, and guarantee the consistency of each transaction request submission or rollback.

The application layer host is routed to different database nodes through Oracle Net Services. After submitting the database transaction request, the database node periodically writes the transaction data to the shared disk array.

We know that IO requests are very slow in computer requests, and this architectural design accentuates the performance bottleneck of IO reading and writing. Enterprises responded by buying better, more expensive disk arrays and improving IO performance, which led to the IOE architecture occupying the mainstream position of domestic IT procurement for a long time.

We know that IO requests are very slow in computer requests. This architecture design highlights the performance bottleneck of IO reading and writing. The corporate response is to purchase better and more expensive disk arrays and improve IO performance. This has also led to the IOE architecture occupying the mainstream of domestic IT procurement for a long period of time.

The second problem: limited scalability, increased node performance gains and nonlinear enhancement.

As mentioned above, it is limited by the performance bottleneck of IO requests. The transaction data of each node initiates an IO request to write data to disk at a certain interval. In this process, real-time transaction information is synchronized by the IPC protocol to transfer memory data between nodes. At this point we need a high-speed data transmission network, usually done by Gigabit NIC.

However, as the number of nodes continues to increase, the more transaction data needs to be synchronized and the network contention and row lock contention will become more serious, resulting in the performance gain and nonlinear enhancement of the extended nodes.

The second stage: the era of distributed databases.

With the rapid development of Taobao business, Taobao has become one of Oracle’s top clients in China since 2010. In order to reduce IT costs while meeting the further development needs of the business and given the long-term accumulation of technology driven in the open source community. In 2010, the Taobao technical team launched a vigorous “Go IOE” campaign with the goal of replacing the traditional Oracle DB architecture with a distributed open source database architecture. The success of Taobao’s “GO IOE” effectively verifies the load capacity of distributed database in large-scale production applications, which also led to the transformation of domestic IT architecture selection ideas and the evolution of distributed database architecture.

There are many kinds of distributed database schemes, which are commonly used in various Internet companies. The essence is to split the data into different nodes, thus alleviating the pressure of single-node reading and writing, such as splitting data by parity. It is a simple distributed system, the schematic is as follows:

When we split the data into distributed databases, we have to consider the trade-offs between the three features of distributed, as described by the CAP:

The system architect needs to optimize the three features of CAP according to the business, so that the result of the system can be consistent with the expectation of the business requirements.

Some of the mainstream distributed schemes seen so far have varying degrees of choice for each of the three features. When we were running our last startup project, OneAPM, we used Kafka, Zookeeper, Clickhouse and other architectures to meet the business needs in order to solve the huge amount of data generated by processing user access trajectories. The architecture diagram is as follows:

The third stage: Block chain era

From the perspective of database technology, the essence of blockchain is a multi-active distributed database with a specific architecture. Paxos, RAFT and other algorithms are used in distributed database to guarantee the strong consistency of multiple copies of the database. Block chain is a consensus algorithm to solve the problem of data consistency among the nodes.

POW, POS, DPOS and so on all kinds of consensus algorithms are essentially in competition which node will have the right to write to the block ( account data). In the design of the economic model of block chain, the behavior of writing block chain is encouraged economically, and the development of block chain ecology is greatly encouraged.

But it is precisely because each node is likely to have the right to write a block, and in order to guarantee the consistency of system data, a tradeoff must be made with the system’s response time. So we see that the TPS of bitcoin is 7:1 per second, and the TPS of Ethereum is only a few dozen services per second. The CAP problem in distributed databases is still a technical problem that the blockchain needs to challenge. Of course, with the emergence of new technologies such as fragmentation and lightning network, the bottleneck of transaction performance is continuously optimized.

In addition, from a product perspective, the current blockchain technology primarily provides the ability of transaction accounting, and can not support the standard ability of the database, so in terms of function, the current block chain is essentially a special subset of database technology stack In the blockchain, expanding the ability to add, delete, and modify files and data is a key capability for DAPP’s ecological development.

Looking at the three era’s of database system evolution, the wave of technological development cannot be stopped. All we can do is learn and face. Just as the distributed database replaces the traditional ORACLE cluster the decentralized model of blockchain technology will also iteratively centralize the model’s business system. From the current situation, the emergence of new technologies, such as fragmentation, lightning network, transaction performance bottleneck is constantly optimized, and the blockchain technology is gradually evolving to the mainstream IT architecture.

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