What is consistency protocol in distributed system?

Consistency protocols describe the actual implementation of a specific consistency model. Consistency model provides consistency constraints for data replication in distributed systems. In order to achieve consistency model constraints, consistency protocols are needed to ensure consistency.

What is consistency and replication in distributed system?

Data are generally replicated to enhance reliability or improve performance. One of the major problems is keeping replicas consistent. Informally, this means that when one copy is updated we need to ensure that the other copies are updated as well; otherwise the replicas will no longer be the same.

What are different types of eventual consistency?

The eventual consistency model has a number of variations that are important to consider:

Causal consistency.
Read-your-writes consistency.
Session consistency.
Monotonic read consistency.
Monotonic write consistency.

What is causal consistency in distributed systems?

Introduction. Causal consistency [1] is one of the consistency criteria that can be used on distributed databases as consistency criteria. Distributed database provides causal consistency if read and write operations that are causally related are seen by every node of the distributed system in the same order.

What is strong consistency model?

Strong consistency is one of the consistency models used in the domain of concurrent programming (e.g., in distributed shared memory, distributed transactions). The protocol is said to support strong consistency if: All accesses are seen by all parallel processes (or nodes, processors, etc.)

Is Kafka eventual consistency?

Apache Kafka achieving Consistency A stricter guarantee is “exactly-once” delivery in Kafka, which guarantees that all messages will be delivered only one time. Distributed event processing systems can use Kafka’s “exactly-once” delivery to assure that the system’s property of eventual consistency will be preserved.

What are the consistency models in distributed shared memory?

In computer science, consistency models are used in distributed systems like distributed shared memory systems or distributed data stores (such as filesystems, databases, optimistic replication systems or web caching). The system is said to support a given model if operations on memory follow specific rules.

What are strong and weak consistency in distributed systems?

Strong consistency: The data in all nodes is the same at any time. At the same time, you should get the value of key1 in node A and the value of key1 in node B. Weak consistency: There is no guarantee that all nodes have the same data at any time, and there are many different implementations.

What are the various consistency model in distributed system?

Consistency model as abstraction In distributed systems, a consistency model is a contract between the system and the developer who uses it. A system is said to support a certain consistency model if operations on memory respect the rules defined by the model.

What is consistency in a distributed system?

Traditionally, consistency has been discussed in the context of read and write operations on shared data, available by means of (distributed) shared memory. A (distributed) shared database, or a (distributed) file system.

When is a pull-based approach to distributed systems efficient?

What is consistency?

What are the communication protocols in distributed systems?

Finally, an important class of communication protocols in distributed systems is multicasting. The basic idea is to disseminate information from one sender to multiple receivers. We have discussed two different approaches.