This paper presents a majority consensus algorithm for concurrency control in multiple copy databases. The algorithm uses distributed control and can function effectively in the presence of communication and database site outages. It ensures that updates are applied to database copies in a way that preserves both internal and mutual consistency. The algorithm allows database sites to vote on the acceptability of update requests, with a majority needed to approve an update. It employs a timestamping mechanism to ensure the validity of update requests and to maintain consistency. The algorithm is robust to communication failures and can recover from database site outages. It is deadlock-free and ensures that conflicting updates are resolved in a way that preserves database consistency. The algorithm is characterized by its ability to handle multiple copies of a database and to ensure that all copies converge to the same state. The algorithm is demonstrated to be correct and efficient, with a focus on maintaining internal consistency of the database. The algorithm is designed to work in a distributed environment where database copies are accessible at multiple sites, and it ensures that updates are applied in a way that preserves the consistency of the database. The algorithm is based on the principles of majority consensus and is designed to handle the complexities of distributed databases. The algorithm is shown to be effective in maintaining the consistency of the database and to handle the challenges of distributed computing.This paper presents a majority consensus algorithm for concurrency control in multiple copy databases. The algorithm uses distributed control and can function effectively in the presence of communication and database site outages. It ensures that updates are applied to database copies in a way that preserves both internal and mutual consistency. The algorithm allows database sites to vote on the acceptability of update requests, with a majority needed to approve an update. It employs a timestamping mechanism to ensure the validity of update requests and to maintain consistency. The algorithm is robust to communication failures and can recover from database site outages. It is deadlock-free and ensures that conflicting updates are resolved in a way that preserves database consistency. The algorithm is characterized by its ability to handle multiple copies of a database and to ensure that all copies converge to the same state. The algorithm is demonstrated to be correct and efficient, with a focus on maintaining internal consistency of the database. The algorithm is designed to work in a distributed environment where database copies are accessible at multiple sites, and it ensures that updates are applied in a way that preserves the consistency of the database. The algorithm is based on the principles of majority consensus and is designed to handle the complexities of distributed databases. The algorithm is shown to be effective in maintaining the consistency of the database and to handle the challenges of distributed computing.