Distributed Systems: Locking and Concurrency Control

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What is the primary goal of timestamp-based concurrency control algorithms?

To ensure that transactions commit in the order of their timestamps

What happens when two transactions, Ti and Tj, try to write the same data item simultaneously?

Tj's commit phase is delayed until Ti has committed

What is the purpose of the access rule in timestamp-based ordering?

To ensure that older transactions commit before younger ones

What is the benefit of using timestamp-based concurrency control algorithms?

Ensured serializability and transaction isolation

What is the role of timestamps in concurrency control?

To prioritize transactions based on their start time

What is the effect of Rule 3 on transaction Ti and Tj?

Ti's commit phase cannot overlap with Tj's commit phase

What is the consequence of violating the access rule in timestamp-based ordering?

The equivalent serial schedule is disrupted

What is the primary difference between optimistic and pessimistic concurrency control?

Optimistic control assumes conflicts are rare, while pessimistic control assumes conflicts are common

Which of the following is NOT a type of timestamp-based concurrency control algorithm?

Two-Phase Locking Protocol

What is the primary advantage of using timestamp-based concurrency control algorithms?

Ensured serializability and transaction isolation

Learn about the concept of locking in distributed systems, its role in maintaining data integrity, and how it prevents the execution of the same task twice. Understand locking-based concurrency control protocols and their importance in distributed systems.

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