Replicated distributed file system

View code. This means that the following need to be ensured: The master server maintains metadata about the replicas and their locations. The user can submit multiple operations that are performed atomically on the shared files stored in the distributed file system. Files are not partitioned. Assumption: each transaction access only one file. Each file stored on the distributed file system has a primary replica.

This means that you will need to implement sequential consistency through a protocol similar to the passive primary-backup replication protocol.

After performing a set of operations, it is guaranteed that the file system will remain in consistent state.

A lock manager is maintained at each replicaServer. Once any transaction is committed, its mutations to files stored in the file system are required to be durable. Characteristics of the Distributed File System Reads from the file system. Writes to files stored on the file system. This procedure is followed: The client requests a new transaction ID from the server. The request includes the name of the file to be mutated during the transaction.

If the file specified by the client does not exist, the master creates metadata for the file and chooses where its replicas can be located and which one of them will be the primary. The client will then communicate these information to the primary along with the write request.

Selecting the replicaServers to place the replicas of the file and selecting of the primary replica can be random. All subsequent client messages corresponding to a transaction will be directed to the replicaServer with the primary replica contain the ID of that transaction.

The client sends to the replicaServer a series of write requests to the file specified in the transaction. Each request has a unique serial number. Swirlds—building the trust layer of the internet. Toggle SlidingBar Area. Previous Next. With applications built on Swirlds, transactions are: Fair: As Swirlds does not rely on miners, Swirlds applications ensure the actual order of transactions is the consensus order, and all transactions are included.

Proven: Users quickly receive absolute proof of the consensus results of their actions for percent order certainty. About Swirlds Swirlds provides a platform to build and run shared worlds—fully distributed applications that harness the power of the cloud without servers.

Related Posts. Popular Recent Comments. Failed to load latest commit information. View code. This means that the following need to be ensured: The master server maintains metadata about the replicas and their locations.

The user can submit multiple operations that are performed atomically on the shared files stored in the distributed file system. Files are not partitioned. Assumption: each transaction access only one file. Each file stored on the distributed file system has a primary replica. This means that you will need to implement sequential consistency through a protocol similar to the passive primary-backup replication protocol.

After performing a set of operations, it is guaranteed that the file system will remain in consistent state. A lock manager is maintained at each replicaServer. Once any transaction is committed, its mutations to files stored in the file system are required to be durable. Characteristics of the Distributed File System Reads from the file system. Writes to files stored on the file system.

This procedure is followed: The client requests a new transaction ID from the server. The request includes the name of the file to be mutated during the transaction. If the file specified by the client does not exist, the master creates metadata for the file and chooses where its replicas can be located and which one of them will be the primary.

The client will then communicate these information to the primary along with the write request. Selecting the replicaServers to place the replicas of the file and selecting of the primary replica can be random. All subsequent client messages corresponding to a transaction will be directed to the replicaServer with the primary replica contain the ID of that transaction.

The client sends to the replicaServer a series of write requests to the file specified in the transaction. Each request has a unique serial number. The server appends all writes sent by the client to the file.