I need help adding references and citations in my paper please :Achieving full ACID (Atomicity, Consistency, Isolation, Durability) compliance in database systems can be challenging due to several factors. These challenges include performance overhead, concurrency control complexities, scalability trade-offs, recovery management, balancing availability and consistency, handling long transactions, adapting to schema changes, coordinating cross-system transactions, and dealing with application complexity. While ACID properties ensure data integrity, modern databases often strike a balance between ACID requirements and other system considerations.

Concurrency control is important in manage simultaneous execution of transactions in a multiprocessing database. Concurrency control is crucial in a database management system (DBMS) for many reasons. Firstly, it ensures data integrity by allowing multiple transactions to occur simultaneously without leading to data inconsistency. For instance, if two users attempt to update the same record at the same time, concurrency control mechanisms prevent conflicts and ensure that the final state of the data is correct. Secondly, it maintains the isolation property of transactions, meaning that the operations of one transaction are not visible to other transactions until they are completed. This prevents intermediate states from being seen by other transactions, which could lead to incorrect results. Additionally, concurrency control helps in detecting and resolving deadlocks, where two or more transactions are waiting indefinitely for each other to release resources. Furthermore, by managing the simultaneous execution of transactions efficiently, concurrency control can optimize the performance of the database system, allowing for higher throughput and better resource utilization. Lastly, serializability is a key concept related to concurrency control. It ensures that the outcome of executing transactions concurrently is the same as if the transactions were executed serially, one after the other, thereby guaranteeing the consistency and correctness of the database.

-Silberschatz, A., Korth, H. F., & Sudarshan, S. (2019). Database system concepts (7th ed.). McGraw-Hill Education. This book provides a comprehensive overview of database systems, including detailed discussions on transactions, ACID properties, and concurrency control mechanisms.

-Elmasri, R., & Navathe, S. B. (2016). Fundamentals of database systems (7th ed.). Pearson. Another foundational textbook that covers the essential concepts of database systems, including transactions and concurrency control.

-Gray, J., & Reuter, A. (1993). Transaction processing: Concepts and techniques. Morgan Kaufmann. This book is a classic in the field of transaction processing and provides in-depth coverage of the principles and techniques used in database transactions and concurrency control.

-Bernstein, P. A., Hadzilacos, V., & Goodman, N. (1987). Concurrency control and recovery in database systems. Addison-Wesley. A seminal work that delves deeply into the theory and practice of concurrency control and recovery in database systems.

-Weikum, G., & Vossen, G. (2001). Transactional information systems: Theory, algorithms, and the practice of concurrency control and recovery. Morgan Kaufmann. This book offers a thorough exploration of transactional information systems, with a strong focus on concurrency control and recovery mechanisms.

-Papadimitriou, C. H. (1979). The serializability of concurrent database updates. Journal of the Association for Computing Machinery.

-Hlex, N. (2023, December 6). Understanding Database Transactions: A Developer's Guide. DEV. Retrieved August 13, 2024, from https://dev.to/hlexnc/understanding-database-transactions-a-developers-guide-149a

-Onyewuch, C. E. (2023, June 25). What are Transactions in Database? A Comprehensive Guide. Medium. Retrieved August 13, 2024, from https://chinwendu.medium.com/what-are-transactions-in-database-a-comprehensive-guide-part-1-697c2097c2a1

-ACID Transactions. DataBricks. Retrieved August 13, 2024, from https://www.databricks.com/glossary/acid-transactions

Sabale, M. M. (2024). Data integrity refers to the accuracy and consistency. ProQuest, 17(5). https://doi.org/10.52711/0974-360X.2024.00381