- How is causal consistency implemented?
- How do you implement strong consistency?
- Does replication improve consistency?
- What is replication consistency?
- How do you achieve data consistency?
- Which is not consistent in a processor?
- What is consistency and replication in the distributed systems?
- How do you ensure data consistency in distributed system?
- What are different types of eventual consistency?
- How does eventual consistency work?
- What is strict consistency in distributed system?
- What is consistency in distributed system?
- What means consistency?
- Which is true regarding causal consistency?
- What is weak consistency model?
How is causal consistency implemented?
Causal consistency can be reached by using Lamport clocks  or version vectors .
The causal consistency model is implemented by using multi-part timestamps, which are assigned to each object.
These timestamps are stored on a vector that contains the version number of the object at each replica..
How do you implement strong consistency?
Strong Consistency simply means the data must be strongly consistent at all times. All the server nodes across the world should contain the same value as an entity at any point in time. And the only way to implement this behavior is by locking down the nodes when being updated.
Does replication improve consistency?
Data replication process The benefits of data replication are useful only if there’s a consistent copy of the data across all systems. Following a process for replication helps ensure consistency.
What is replication consistency?
Intuitively, a collection of copies is consistent when the copies are always the same. This means that a read operation performed at any copy will always return the same result. … This type of consistency is sometimes informally referred to as tight consistency or synchronous replication.
How do you achieve data consistency?
Ensuring data consistencyUsing referential integrity for data consistency. Referential integrity ensures that data is consistent across tables.Using locks for data consistency. Locks can ensure that data remains consistent even when multiple users try to access the same data at the same time. … Checking data consistency.
Which is not consistent in a processor?
Examples of Processor Consistency Example 2 is NOT Processor Consistent, as the writes by P1 and P3 are seen out of order by P2 and P4 respectively. … The system in Example 4 is not processor consistent, because some writes by the same processor are seen out of order by other processors.
What is consistency and replication in the distributed systems?
Introduction (Overview of Consistency and Reasons for Consistency) In the distributed system, data is duplicated mainly for “reliability” and “performance”. Replication is required, especially if the distributed system needs to grow in quantity and geographically. Replication is such one of the scaling techniques.
How do you ensure data consistency in distributed system?
1 AnswerFirst is to take the lock before writing anything to the database or caching system. This ensures read and write lock. This includes master server as well. … Secondly, if replication fails then there is the added complex layer of rollovers. This ensures that data is consistent if not then it is not applied.
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.Dec 23, 2008
How does eventual consistency work?
Eventual consistency is a consistency model used in distributed computing to achieve high availability that informally guarantees that, if no new updates are made to a given data item, eventually all accesses to that item will return the last updated value.
What is strict consistency in distributed system?
In a distributed system, the assumption is that individual nodes will fail. The system must be resilient to node failures. Therefore, the data must be duplicated across multiple nodes for redundancy. … Systems that make this guarantee are called “strictly consistent”.
What is consistency in distributed system?
Consistency is the agreement between multiple nodes in a distributed system to achieve a certain value. … The so-called final consistency means that the same data on any node is the same at any time, but as time passes, the same data on different nodes always changes in the direction of convergence.
What means consistency?
The definition of consistency means thickness or something stays the same, is done in the same way or looks the same. An example of consistency is a sauce that is easy to pour from a pitcher. … An example of consistency is when paint is applied uniformly so that the wall looks the same from one side to the other.
Which is true regarding causal consistency?
Definition. Causal consistency captures the potential causal relationships between operations, and guarantees that all processes observe causally-related operations in a common order. In other words, all processes in the system agree on the order of the causally-related operations.
What is weak consistency model?
The name weak consistency may be used in two senses. … A protocol is said to support weak consistency if: All accesses to synchronization variables are seen by all processes (or nodes, processors) in the same order (sequentially) – these are synchronization operations. Accesses to critical sections are seen sequentially.